Data Con LA (formerly known as Big Data Day LA) was on Aug 11, 2018. Thanks for making it successful. We look forward to seeing you next year.

Keynote Videos

Sponsors / 2018 Sponsors

Email Subash D’Souza at sawjd@yahoo.com if you are interested in being a sponsor for our 2018 event.

2018 - University of Southern California USC
2018 - Agilisium2018 - BMC
2018 - Accenture2018 - Arcadia Data2018 - Couchbase2018 - DataStax2018 - Hortonworks2018 - MariaDB2018 - Neo4J2018 - PureStorage2018 - Qlik2018 - Streamlio2018 - Syncsort
2018 - WANDisco
2018 - BCG
2018 - BerkCom2018 - Databricks2018 - Dremio2018 - Google Cloud2018 - GumGum2018 - Hulu2018 - Igneous2018 - MarkLogic2018 - Memsql2018 - Mesosphere2018 - Netflix2018 - Qubole2018 - Red82018 - Socialgist2018 - Tibco2018 - Verizon Digital Media Services2018 - WB
2018 - Archangel Technology Consultants, LLC2018 - GA2018 - InfiniOne2018 - ISSA2018 - LAAC2018 - Level2018 - LOPSA2018 - Los Angeles Big Data Users Group2018 - Meeting Application2018 - Niagara2018 - OpenSUSE2018 - Phase Two2018 - Techcrunch2018 - TenOneTen Ventures

SPONSOR LOCATION MAP

Startup Showcase / 2018 Startup Showcase

This year’s Data Con LA Startup Showcase is focusing on Media and Entertainment to pay homage to the quintessential Hollywood! We are excited to share the innovation our data community brings to the rich tradition of media and entertainment in Los Angeles.

General Round:
We opened this round to applications from all startups in the media and entertainment space. The finalists have been chosen and will present on the day of the event.

Final Pitch Round:
Six finalists will have the opportunity to present a 5-min pitch onstage to the panel of judges below from Warner Bros., Disney, NBCUniversal, Netflix, Hulu, USC and TenOneTen Ventures on conference day – Aug 11th in Bovard Auditorium from 2 pm – 4 pm.

Prizes:
First Place – $1000 cash, $500 credit for General Assembly classes/workshops*, two free prototyping sessions at InfiniOne’s office in downtown and 1 one-on-one feedback and strategy session with a VC from TenOneTen Ventures
Second Place – $500 cash, One free prototyping session at InfiniOne’s office in downtown and $250 credit for General Assembly classes/workshops*
Third Place – $250 cash and $100 credit for General Assembly classes/workshops*

*The credits would be good for any of General Assembly’s short-form programming . The credits would not be applicable for General Assembly’s long-form programming (PT courses and Immersive programs).

 

Congratulations to our Winners

1st Place – FCFL

2nd Place – ARWall

3rd Place – Autum

And our finalists – ATK Token, Muzaic & MVPCast

 

Thanks to all of our judges, volunteers and the community who made this happen

Finalists

Judges

Arvel Chappell III

Manager - Emerging Technology at Warner Bros.
Recently joining WB, Arvel’s career has spanned Space, AI, Cinema and Virtual Reality. He began his career working in the Space industry building technology for government customers, eventually serving as chief engineer over the Wideband Global Satcom Constellation. Currently, Arvel serves on the IEEE ethics in Artificial Intelligence committee where they are creating industry guidelines to facilitate AI’s use. In addition to engineering, Arvel has enjoyed a love of cinema and holds an MFA in cinema production from USC, was a Sundance screening writing lab semi-finalist, has directed numerous short films and most recently a VR experience for Daily Show’s Trevor Noah. At Warner Bros Arvel is part of the Emerging Technology group where he is leading VR & Artificial Intelligence R&D projects which are inventing the future of immersive content.

Austin Clements

Venture Capitalist at TenOneTen Ventures
Austin Clements is a venture capitalist with TenOneTen Ventures, a seed stage fund base in LA. Prior to TenOneTen, Austin worked at Sony Pictures, licensing film and TV content to emerging video platforms. He began his career in investment management working with AllianceBernstein and has since held roles evaluating early stage tech investments at Creative Artists Agency, Digital Entertainment Ventures, and NY Angels. Austin is also committed to encouraging underrepresented minorities to pursue careers in tech and entrepreneurship. He is an active volunteer in various local youth entrepreneurship programs. Austin received his MBA from NYU Stern with a specialization in Media, Entertainment, and Technology and his BA from Morehouse College in Atlanta, GA.

Jason Flittner

Content and Studio Data Engineering Leader at Netflix
Jason Flittner leads the Content and Studio Data Engineering teams at Netflix. He was previously an analytics manager and engineer, focusing on data transformation, analysis, and visualization of Netflix content data. Prior to Netflix, Jason led the EC2 business intelligence team at Amazon Web Services and was a business intelligence engineer with Cisco Systems.

Jeff Rosenberg

Director of Software Development for Reporting, Analytics and Data Science at Hulu 
Jeff Rosenberg is the Director of Software Development for Reporting, Analytics and Data Science at Hulu, where his team is responsible for the overall technology direction of business intelligence and governance, big data platform and infrastructure, data products, data quality management and data science.  Jeff’s background is in biological sciences, technical program management and software development, with a strong focus on media.  Before leading the data organization at Hulu, he successfully led the cross-functional effort to ship Hulu’s landmark ‘No Commercials’ plan.  Previously, he worked on platform and product development with companies including Warner Bros, Fox/Myspace, DirecTV, and Sony/Playstation, driving execution of countless products backed by billions of data points. Jeff holds a BS in Biology from Brown University.

Levon Karayan

Sr. Director of Engineering at The Walt Disney Studios
Levon Karayan has over 25 years of experience from being employee number one to one numbered in the hundreds of thousands.  Some of his leadership roles have been in the game industry, internet finance, sponsored search advertising, startup incubation, social advertising, mobile advertising and media and entertainment.  He’s currently one the leaders focusing on data technology at The Walt Disney Studios where he was one of the first to use the public cloud and machine learning in production applications.   His passions lie where technology can innovate in business.

Paul Orlando

Incubator Director and Adjunct Professor of Entrepreneurship at USC
Paul Orlando accelerates company growth. He is Incubator Director and Adjunct Professor of Entrepreneurship at the University of Southern California (USC) in Los Angeles. Paul has founded and operated successful startup accelerator programs in Hong Kong (focused on mobile development), Los Angeles (focused on growth of wide-ranging companies with founders affiliated with USC), and the Laudato Si accelerator affiliated with the Vatican in Rome (focused on environmental technology). Companies Paul has worked with have raised tens of millions in capital, served millions of customers, and have been acquired. He has authored several related academic case studies available on Harvard Business Publishing. Paul also consults to larger institutions as they innovate, develop, and grow, especially in transitioning past legacy business models by using rapid experimentation techniques. In the past Paul also co-founded a B2B startup and consulted to Fortune 100 firms. Paul has been featured in media including Forbes, TechCrunch, Fast Company, the Wall Street Journal and was a winner at the TechCrunch Disrupt Hackathon. He has a BA from Cornell, an MBA from Columbia, and speaks Mandarin.

Subash D’Souza

Organizer at Big Data Day LA
Subash D'Souza is a Data Evangelist. He is the founder and organizer of Big Data Day LA, a data conference based in Sunny Southern California. He also organizes the Los Angeles Big Data Users Group and the Los Angeles Apache Spark Users Group. Subash's passions lies in building scalable and performant systems. 

Trinh Nguyen

Sr. Director of Technology for E! Entertainment at NBCUniversal
Trinh Nguyen leads the cloud infrastructure and application development for the E! Entertainment network. E! is part of the NBCUniversal’s cable portfolio and Trinh has been leading the charge with cloud native and progressive application development. With over 10 years at Comcast & NBCUniversal combined he is now focused on helping various divisions within his media company transition to adopting big data and cloud technologies more effectively. Companywide he is also the committee lead for NBCU’s Asian Pacific American employee resource group primarily focusing on professional development for employees who are interested in their career growth. He has a B.S. in Computer Engineering from the University of California Irvine. When not promoting leadership principals in the workplace, you can find him at home raising his newborn son, Maverick, who as they say is very “dangerous”.
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Subash D'Souza is a Data Evangelist. He is the founder and organizer of Data Con La formerly known as Big Data Day LA, a data conference based in Sunny Southern California. He also organizes the Los Angeles Big Data Users Group and the Los Angeles Apache Spark Users Group. Subash's passions lies in building scalable and performant systems. 
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Abbass is a professor of data science at USC Marshall School of Business, and he is the director of the MS in Business Analytics program. Professor Sharif specializes is in the field of statistical computing and data visualization and he has developed and published new multivariate visualization techniques for functional data, and currently he is developing visualization techniques to study brain activity data collected via the near-infrared spectroscopy (NIRS) technology. Professor Sharif teaches statistics courses that range from introductory statistics to data analysis for decision-making through to advanced modern statistical learning techniques, statistical computing and data visualization. (Host)
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Gwen is a principal data architect at Confluent helping customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating microservices, relational and big data technologies. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an author of “Kafka - the Definitive Guide”, "Hadoop Application Architectures", and a frequent presenter at industry conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects. When Gwen isn't coding or building data pipelines, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.
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Megan Risdal is a Product Lead and Data Scientist at Kaggle, the world's largest global data science and machine learning community, where she focuses on helping the world learn from data using collaborative tools and open datasets. Prior to her current role, she worked in marketing and market research and has authored dozens of blog posts including interviews with top data scientists from Airbnb and Deepmind. She has master's degrees in linguistics from the University of California, Los Angeles and North Carolina State University.
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Ken Weiner leads the engineering and product teams behind the industry’s top computer vision platform for marketers and rights holders. As an active member of the ad tech community, Weiner is a guest columnist for VentureBeat and Forbes, a frequent speaker at conferences and a member of industry groups such as IAB’s OpenRTB Working Group and various LA Ad Tech Meetups. Weiner was LA Business Journal’s 2015 CTO of the Year, andin 2003, he was included in the InfoWorld 100 for his work on uPortal, an open-source web portal framework for the higher education community. Before coming to GumGum, Weiner was the Director of Engineering at the lead-generation platform LowerMyBills.com, acquired by Experian in 2005. He has also worked as an open-source software consultant, a project manager and an instructor at Interactive Business Solutions, acquired by Unicon Inc. in 2003. Weiner received a B.S. from UCLA and currently lives in Los Angeles. Away from the office, he enjoys mountain biking, hiking, California native plants, jazz music and playing the saxophone.
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Justin Herz was named Executive Vice President, Digital Product, Platform, and Strategy in January 2017. As head of Warner Bros. Digital Herz oversees emerging technology, new platforms, and direct-to-consumer technology working across all divisions of the studio identifying and spearheading technology-related innovations intersecting with new digital products, production, distribution, and marketing. Digital’s portfolio includes digital innovation, technology development, standard setting for the studio, direct to consumer platforms, and Warner’s consumer intelligence/data activities designed to generate value by creating and enhancing consumer engagement through direct interaction with Warner Bros. products, programs and partners.
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Sari Ladin-Sienne executes Mayor Garcetti’s vision for a more responsive, and data-driven Los Angeles. As Chief Data Officer, Sari improves access to meaningful information for residents and city employees. She leverages her policy knowledge and technical skillset to form new partnerships that tap into the value of data as a critical asset in smarter decision-making. Sari believes knowledge sharing is at the core of the smart cities movement. She previously worked as a Harvard Ash Fellow for the Mayor’s Data Team where she led the team’s digital strategy and elevated the city’s best practices to the national conversation through her articles for Harvard’s Data Smart Cities and Government Technology. She has provided data analysis, budgeting, and policy recommendations to a range of public and nonprofit clients including the Consumer Financial Protection Bureau and the Nonprofit Finance Fund. Sari holds a Master's Degree in Public Policy from the University of California, Berkeley.
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Tim leads the development and execution of market strategy, positioning/messaging, demand and content marketing, and sales enablement. Tim’s career spans over 25 years of B2B high tech marketing in the supply chain and enterprise mobile computing industries. Tim’s prior experience includes senior marketing and sales leadership positions with Honeywell Scanning and Mobility, Intermec Corporation, Vocollect Inc., and Zebra Technologies, Inc. Tim holds an MBA from the University of Oregon Lundquist School of Business and a B.S. in Political Science from Oregon State University. He is co-inventor and patent holder for the number one selling ‘bi-optic’ scanner scale used at point-of-sale check-outs around the world. (Sponsored)  
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With responsibility for Accenture Digital and AI delivery for the Western United States, Diego Saenz's focus is on Applied Intelligence, Digital Transformation, and Customer Experience Design for Accenture clients in the communications, media and technology industries, including Facebook and Twitter.  A technology entrepreneur with prior experience in consumer products, retail, travel, and automotive; Diego previously served as CIO for Pepsi Latin America. (Sponsored)
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Mike is a senior technology adviser for the team - he is passionate about advanced analytics, including streaming analytics, ML & AI and brings over 25 years of large-scale systems design, development, and operations.  Mike, previously was the Technology Leader for the AWS Solutions Architecture team here in Los Angeles, and also worked as a management consultant at various firms including Ernst & Young, & Deloitte Consulting. Mike's experience include providing large-scale systems design and advanced analytics expertise for the Defense Intelligence community. Mike has been a featured speaker at Amazon, Gartner and UCLA Anderson School of Management events. (Sponsored)
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Subash D'Souza is a Data Evangelist. He is the founder and organizer of Data Con La formerly known as Big Data Day LA, a data conference based in Sunny Southern California. He also organizes the Los Angeles Big Data Users Group and the Los Angeles Apache Spark Users Group. Subash's passions lies in building scalable and performant systems. 
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Keynote Speakers / 2018

Subash D’Souza

Organizer at Data Con LA
Subash D'Souza is a Data Evangelist. He is the founder and organizer of Data Con La formerly known as Big Data Day LA, a data conference based in Sunny Southern California. He also organizes the Los Angeles Big Data Users Group and the Los Angeles Apache Spark Users Group. Subash's passions lies in building scalable and performant systems. 

Abbass Sharif, PhD.

Academic Director, Master of Science in Business Analytics Program at the University of Southern California
Abbass is a professor of data science at USC Marshall School of Business, and he is the director of the MS in Business Analytics program. Professor Sharif specializes is in the field of statistical computing and data visualization and he has developed and published new multivariate visualization techniques for functional data, and currently he is developing visualization techniques to study brain activity data collected via the near-infrared spectroscopy (NIRS) technology. Professor Sharif teaches statistics courses that range from introductory statistics to data analysis for decision-making through to advanced modern statistical learning techniques, statistical computing and data visualization. (Host)

Gwen Shapira

Principal Data Architect at Confluent
Gwen is a principal data architect at Confluent helping customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating microservices, relational and big data technologies. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an author of “Kafka - the Definitive Guide”, "Hadoop Application Architectures", and a frequent presenter at industry conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects. When Gwen isn't coding or building data pipelines, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.

Megan Risdal

Data Scientist & Datasets Product Lead at Kaggle/ Google
Megan Risdal is a Product Lead and Data Scientist at Kaggle, the world's largest global data science and machine learning community, where she focuses on helping the world learn from data using collaborative tools and open datasets. Prior to her current role, she worked in marketing and market research and has authored dozens of blog posts including interviews with top data scientists from Airbnb and Deepmind. She has master's degrees in linguistics from the University of California, Los Angeles and North Carolina State University.

Ken Weiner

CTO at GumGum
Ken Weiner leads the engineering and product teams behind the industry’s top computer vision platform for marketers and rights holders. As an active member of the ad tech community, Weiner is a guest columnist for VentureBeat and Forbes, a frequent speaker at conferences and a member of industry groups such as IAB’s OpenRTB Working Group and various LA Ad Tech Meetups. Weiner was LA Business Journal’s 2015 CTO of the Year, andin 2003, he was included in the InfoWorld 100 for his work on uPortal, an open-source web portal framework for the higher education community. Before coming to GumGum, Weiner was the Director of Engineering at the lead-generation platform LowerMyBills.com, acquired by Experian in 2005. He has also worked as an open-source software consultant, a project manager and an instructor at Interactive Business Solutions, acquired by Unicon Inc. in 2003. Weiner received a B.S. from UCLA and currently lives in Los Angeles. Away from the office, he enjoys mountain biking, hiking, California native plants, jazz music and playing the saxophone.

Justin Herz

Executive Vice President Digital Product, Platform, & Strategy at Warner Bros. Entertainment Inc.
Justin Herz was named Executive Vice President, Digital Product, Platform, and Strategy in January 2017. As head of Warner Bros. Digital Herz oversees emerging technology, new platforms, and direct-to-consumer technology working across all divisions of the studio identifying and spearheading technology-related innovations intersecting with new digital products, production, distribution, and marketing. Digital’s portfolio includes digital innovation, technology development, standard setting for the studio, direct to consumer platforms, and Warner’s consumer intelligence/data activities designed to generate value by creating and enhancing consumer engagement through direct interaction with Warner Bros. products, programs and partners.

Sari Ladin-Sienne

Chief Data Officer at City of Los Angeles
Sari Ladin-Sienne executes Mayor Garcetti’s vision for a more responsive, and data-driven Los Angeles. As Chief Data Officer, Sari improves access to meaningful information for residents and city employees. She leverages her policy knowledge and technical skillset to form new partnerships that tap into the value of data as a critical asset in smarter decision-making. Sari believes knowledge sharing is at the core of the smart cities movement. She previously worked as a Harvard Ash Fellow for the Mayor’s Data Team where she led the team’s digital strategy and elevated the city’s best practices to the national conversation through her articles for Harvard’s Data Smart Cities and Government Technology. She has provided data analysis, budgeting, and policy recommendations to a range of public and nonprofit clients including the Consumer Financial Protection Bureau and the Nonprofit Finance Fund. Sari holds a Master's Degree in Public Policy from the University of California, Berkeley.

Tim Eusterman

Senior Director, Solutions Marketing, Digital Business Automation Business Unit at BMC Software
Tim leads the development and execution of market strategy, positioning/messaging, demand and content marketing, and sales enablement. Tim’s career spans over 25 years of B2B high tech marketing in the supply chain and enterprise mobile computing industries. Tim’s prior experience includes senior marketing and sales leadership positions with Honeywell Scanning and Mobility, Intermec Corporation, Vocollect Inc., and Zebra Technologies, Inc. Tim holds an MBA from the University of Oregon Lundquist School of Business and a B.S. in Political Science from Oregon State University. He is co-inventor and patent holder for the number one selling ‘bi-optic’ scanner scale used at point-of-sale check-outs around the world. (Sponsored)  

Diego Saenz

Managing Director at Accenture
With responsibility for Accenture Digital and AI delivery for the Western United States, Diego Saenz's focus is on Applied Intelligence, Digital Transformation, and Customer Experience Design for Accenture clients in the communications, media and technology industries, including Facebook and Twitter.  A technology entrepreneur with prior experience in consumer products, retail, travel, and automotive; Diego previously served as CIO for Pepsi Latin America. (Sponsored)

Mike Limcaco

Advisor / Principal Architect at Agilisium Consulting
Mike is a senior technology adviser for the team - he is passionate about advanced analytics, including streaming analytics, ML & AI and brings over 25 years of large-scale systems design, development, and operations.  Mike, previously was the Technology Leader for the AWS Solutions Architecture team here in Los Angeles, and also worked as a management consultant at various firms including Ernst & Young, & Deloitte Consulting. Mike's experience include providing large-scale systems design and advanced analytics expertise for the Defense Intelligence community. Mike has been a featured speaker at Amazon, Gartner and UCLA Anderson School of Management events. (Sponsored)

Speakers

Here are the tracks for Data Con LA 2018:

— Data – Big Data, Databases/RDBMS, Hadoop/Spark/Kafka, NoSQL/NewSQL and other technologies that support databases, and data storage
— AI / ML / Data Science – Artificial Intelligence, Machine Learning, Data Science, Data Analytics, Data Analysis methods and applications
— Emerging Tech – Blockchain, IoT, Serverless, AR/VR and other new and emerging technology
— Infrastructure & Security – DevSecOps, Security, Data Governance and Privacy
— Visualizations / UI / Use Cases – Data Visualization, User Experience / User Interface developments with respect to data, and real world applications

Aaron Williams

VP of Global Community at MapD

Alyssa Columbus

Datanaut at NASA

Amanda K Moran

Technical Evangelist at DataStax

Amandeep Khurana

CEO & Co-Founder at Okera

Andrew Barkett

VP Engineering at REX - Real Estate Exchange

Brian Gold

Founding Member, FlashBlade at PureStorage

Charmee Patel

Product Innovation - Data & Analytics at Syntasa

Chia-Yui Lee

Data Science at Tibco

Chris Calvert

Co-Founder & VP Product Strategy at Respond Software

Chris Stephens

Data Engineering Manager at Netflix

Ebraheem Fontaine

Director Data Science at Edmunds

Gary Nakanelua

Managing Director at Blueprint Technologies

Grant Kushida

Head of Engineering at Conversion Logic

Harry Brisson

Director, Media Lab at Nielsen

Indrasis Mondal

Director, Big Data Engineering & Data Products at Hulu

Joe Franklin

Data Science Curriculum Developer at Qlik

Jörg Schad

Technical Lead Community Projects at Mesosphere

Jules Damji

Spark Developer & Community Advocate at Databricks

Justine Cocchi

Technical Evangelist at Microsoft

Karthik Ramasamy

Co-Founder & Chief Product Officer at Streamlio

Kevin Nelson

Architect Advocate at Google Cloud

Luis Bitencourt-Emilio

Co-Founder & CTO @ Novi Finance

Mariana Danilovic

Managing Director at Hollywood Portfolio

Marie Smith

CIO at Data 360

Mark Quinsland

Field Engineer at Neo4j

Michael Malgeri

Principal Technologist at MarkLogic

Miguel Angel Campo-Rembado

SVP Data Science & Analytics at Fox

Nader Fathi

CEO at Kiana Analytics

Pat Alwell

Solutions Engineer at Hortonworks

Russell Ladson

CEO at Drop Software Inc.

Ryan Measel

Co-Founder & CTO at Fantasmo.io

Sathwik Shirsat

Big Data Engineer at Malwarebytes

Seth Stodder

Partner at Holland & Knight LLP

Shane Johnson

Senior Director of Product Marketing at MariaDB

Shant Hovsepian

Co-Founder & CTO at Arcadia Data

Shilpa Balan

Assistant Professor at California State University-Los Angeles

Sooraj Akkammadam

ETL Architect at Core Digital Media

Steven Phillips

Principal Software Engineer at Dremio

Sujay Kulkarni

Manager, Data Engineering - Data & AI at Malwarebytes

Sushree Mishra

Senior Sales Engineer at Syncsort

Sessions / Track & Session Info

7:00 am
7:30 am
8:00 am
8:30 am
9:00 am
9:30 am
10:00 am
10:30 am
11:00 am
11:30 am
12:00 pm
12:30 pm
1:00 pm
1:30 pm
2:00 pm
2:30 pm
3:00 pm
3:30 pm
4:00 pm
4:30 pm
5:00 pm
5:30 pm
6:00 pm
6:30 pm
7:00 pm
7:30 pm
AI/ ML/ Data Science
AI/ ML/ Data Science
Registration Check-In / Info
7:00 am - 8:30 am
Registration Check-In / Info
Registration Check-In / Info
7:00 am - 8:30 am
Keynotes
8:30 am - 9:58 am
Keynotes
Keynotes
8:30 am - 9:58 am
Keynotes: </br> </br> Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am) </br> Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am) </br> Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am) </br> Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am) </br> Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am) </br> Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am) </br> Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am) </br> Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am) </br> Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am) </br> Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am) </br>

Keynotes:

Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am)
Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am)
Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am)
Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am)
Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am)
Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am)
Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am)
Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am)
Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am)
Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am)

Coffee Break
10:00 am - 10:20 am
Coffee Break
Coffee Break
Coffee Break

Coffee Break

What I’ve Learned About How Machines Learn: My time at Microsoft, Workpop, Reddit and Novi!
10:30 am - 11:10 am
By Luis Bitencourt-Emilio, Co-Founder & CTO @ Novi Finance
What I’ve Learned About How Machines Learn: My time at Microsoft, Workpop, Reddit and Novi!
10:30 am - 11:10 am
Luis Bitencourt-Emilio
Co-Founder & CTO @ Novi Finance
10:30 AM - 11:10 AM

A run through of ML at Reddit starting in 2006 and through modern day, through building the team, the data platform, the experiments being run and their results.

Sponsored - BI Conversational Bot - The High Speed Bridge Between Data and Decision
11:20 am - 12:00 pm
By Mike Limcaco, Advisor / Principal Architect, Agilisium
Sponsored - BI Conversational Bot - The High Speed Bridge Between Data and Decision
11:20 am - 12:00 pm
Mike Limcaco
Advisor / Principal Architect at Agilisium
11:20 AM - 12:00 PM

Customer facing chatbots have been around for a while. From hospitality, home entertainment, HR functions, call centres, to booking tickets for travel - chatbots have been providing excellent customer experience. Application of chatbots in these cases, however robotic, has been successful for a variety of reasons - narrow functionality, limited data sets for processing, pre-structured flows and very rarely a need to present complex analytics to end customers. Now, combined with advancements in Natural Language Processing (NLP) and Machine Learning algorithms, these chatbots display more human like behavior. But, the adoption of chatbots as an on-demand, ‘data-driven decision making’ Business Intelligence (BI) tool has been slow for various reasons. Unlike customer facing chatbots, BI conversational bots are required to address analytical questions that require complex & large amounts of data processing. And the users must be trained on the scope prior to using the bot as well. Also, given the data security concerns, these chatbots cannot be exposed to larger audience for training, hence are less conversational, making the user experience even poorer. At Agilisium, we have been experimenting with chatbot technologies to address this gap for our business consumers – building a truly conversational BI bot. We invite you to meet us at @BigDataDayLA to know more about it and to get a first-hand experience of the demo.

Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
Lunch - Sponsored By WANdisco
Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. <a href=https://wandisco.com color='#FFFFFF'>WANdisco</a>
Lunch - Sponsored By WanDisco
WANdisco

WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. WANdisco

The Need for Speed: How the Auto Industry Accelerates Machine Learning with Visual Analytics
1:15 pm - 1:55 pm
By Aaron Williams, VP of Global Community, MapD Technologies, Inc.
The Need for Speed: How the Auto Industry Accelerates Machine Learning with Visual Analytics
1:15 pm - 1:55 pm
Aaron Williams
VP of Global Community at MapD Technologies, Inc.
1:15 PM - 1:55 PM

While GPU-accelerated analytics have already radically accelerated the speed of training machine learning models, data scientists and analysts still grapple with deriving insights from these complex models to better inform decision-making. The key: Visualizing and interrogating black box models with a GPU-enabled architecture. Volkswagen and MapD will discuss how interactive, visual analytics are helping the automotive brand interactively explore the output of their ML models to interrogate them in real time, for greater accuracy and reduced biases. They'll also examine how applying the GPU Data Frame to their efforts has enabled them to accelerate data science by minimizing data transfers and made it possible for their complex, multi-platform machine learning workflows to run entirely on GPUs.

Sponsored - Using Data Literacy to Build an Insights Driven Culture
2:05 pm - 2:45 pm
By Joe Franklin, Data Science Curriculum Developer, Qlik
Sponsored - Using Data Literacy to Build an Insights Driven Culture
2:05 pm - 2:45 pm
Joe Franklin
Data Science Curriculum Developer at Qlik
2:05 PM - 2:45 PM

Data is the foundation for the new analytics economy. But data alone is useless unless it can be transformed into insights that lead to the digital transformation of your business. These insights rely on technology of course. But just as importantly, they rely on your workforce’s ability to read, work with, analyze and argue with data. Currently, a skills-gap exists within the world of data literacy, which can impede organization’s ability to be successful with data.

Using ML to analyze text message conversations
2:55 pm - 3:35 pm
By Ebraheem Fontaine, Director Data Science, Edmunds
Using ML to analyze text message conversations
2:55 pm - 3:35 pm
Ebraheem Fontaine
Director Data Science at Edmunds
2:55 PM - 3:35 PM

Edmunds CarCode is a mobile texting platform used to connect customers with over 6,000 dealerships nationwide. We will discuss various machine learning driven enhancements to the product that helped to generate over 100K monthly conversations.

Coffee Break
3:35 pm - 3:55 pm
Coffee Break
Coffee Break
Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases
3:55 pm - 4:35 pm
By Miguel Campo, SVP Data Science & Analytics, Fox
Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases
3:55 pm - 4:35 pm
Miguel Campo
SVP Data Science & Analytics at Fox
3:55 PM - 4:35 PM

Product recommendation systems are important for major movie studios during the movie greenlight process and as part of machine learning personalization pipelines. Collaborative Filtering (CF) models have proved to be effective at powering recommender systems for online streaming services with explicit customer feedback data. CF models do not perform well in scenarios in which feedback data is not available, in cold start situations like new product launches, and situations with markedly different customer tiers (e.g., high frequency customers vs. casual customers). Generative natural language models that create useful theme-based representations of an underlying corpus of documents can be used to represent new product descriptions, like new movie plots. When combined with CF, they have shown to increase the performance in cold start situations. Outside of those cases though in which explicit customer feedback is available, recommender engines must rely on binary purchase data, which materially degrades performance. Fortunately, purchase data can be combined with product descriptions to generate meaningful representations of products and customer trajectories in a convenient product space in which proximity represents similarity (in the case of product-to-product comparisons) and affinity (in the case of customer-to-product comparisons). Learning to measure the distance between points in this space can be accomplished with a deep neural network that trains on customer histories and on dense vectorizations of product descriptions. We developed a system based on Collaborative (Deep) Metric Learning (CML) to predict the purchase probabilities of new theatrical releases. We trained and evaluated the model using a large dataset of customer histories spanning multiple years, and tested the model for a set of movies that were released outside of the training window. Initial experiments show gains relative to models that don't train on collaborative preferences.

A Tale of Three Deep Learning Frameworks: TensorFlow, Keras, & Deep Learning Pipelines
4:45 pm - 5:25 pm
By Jules Damji, Spark Community Evangelist, Databricks
A Tale of Three Deep Learning Frameworks: TensorFlow, Keras, & Deep Learning Pipelines
4:45 pm - 5:25 pm
Jules Damji
Spark Community Evangelist at Databricks
4:45 PM - 5:25 PM

We all know what they say – the bigger the data, the better. But when the data gets really big, how do you use it? This talk will cover three of the most popular deep learning frameworks: TensorFlow, Keras, and Deep Learning Pipelines, and when, where, and how to use them. We’ll also discuss their integration with distributed computing engines such as Apache Spark (which can handle massive amounts of data), as well as help you answer questions such as: – As a developer how do I pick the right deep learning framework for me? – Do I want to develop my own model or should I employ an existing one – How do I strike a trade-off between productivity and control through low-level APIs? In this session, we will show you how easy it is to build an image classifier with Tensorflow, Keras, and Deep Learning Pipelines in under 30 minutes. After this session, you will walk away with the confidence to evaluate which framework is best for you, and perhaps with a better sense for how to fool an image classifier!

A Crash Course on Google Cloud AutoML and Machine Learning APIs
5:35 pm - 6:15 pm
By Kevin Nelson, Google Cloud Architect Advocate, Google
A Crash Course on Google Cloud AutoML and Machine Learning APIs
5:35 pm - 6:15 pm
Kevin Nelson
Google Cloud Architect Advocate at Google
5:35 PM - 6:15 PM

Thanks to machine learning and AI, applications are now being created that can see, hear, and understand the world around them. Learn how you can easily infuse AI into your business today. In addition to a guided walkthrough of easy-to-use machine learning APIs from Google Cloud: Cloud Vision, Cloud Video Intelligence, Cloud Speech, Cloud Natural Language, and Cloud Translation, we'll demonstrate how Google Cloud AutoML enables developers with limited machine learning expertise to train high quality models by leveraging Google's state of the art transfer learning, and Neural Architecture Search technology.

Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma
Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx
Networking Reception - Sponsored by BCG Gamma
BCG Gamma

Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx

Data
Data
Registration Check-In / Info
7:00 am - 8:30 am
Registration Check-In / Info
Registration Check-In / Info
7:00 am - 8:30 am
Keynotes
8:30 am - 9:58 am
Keynotes
Keynotes
8:30 am - 9:58 am
Keynotes: </br> </br> Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am) </br> Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am) </br> Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am) </br> Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am) </br> Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am) </br> Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am) </br> Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am) </br> Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am) </br> Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am) </br> Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am) </br>

Keynotes:

Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am)
Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am)
Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am)
Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am)
Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am)
Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am)
Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am)
Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am)
Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am)
Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am)

Coffee Break
10:00 am - 10:20 am
Coffee Break
Coffee Break
Coffee Break

Coffee Break

Efficient Data formats for Analytics with Parquet and Arrow
10:30 am - 11:10 am
By Steven Phillips, Principal Software Engineer, Dremio
Efficient Data formats for Analytics with Parquet and Arrow
10:30 am - 11:10 am
Steven Phillips
Principal Software Engineer at Dremio
10:30 AM - 11:10 AM

Hadoop makes it relatively easy to store petabytes of data. However, storing data is not enough; columnar layouts for storage and in-memory execution allow the analysis of large amounts of data very quickly and efficiently. It provides the ability for multiple applications to share a common data representation and perform operations at full CPU throughput using SIMD and Vectorization. For interoperability, row based encodings (CSV, Thrift, Avro) combined with general purpose compression algorithms (GZip, LZO, Snappy) are common but inefficient. As discussed extensively in the database literature, a columnar layout with statistics and sorting provides vertical and horizontal partitioning, thus keeping IO to a minimum. Additionally a number of key big data technologies have or will soon have in-memory columnar capabilities. This includes Kudu, Ibis and Drill. Sharing a common in-memory columnar representation allows interoperability without the usual cost of serialization. Understanding modern CPU architecture is critical to maximizing processing throughput. We'll discuss the advantages of columnar layouts in Parquet and Arrow for in-memory processing and data encodings used for storage (dictionary, bit-packing, prefix coding). We'll dissect and explain the design choices that enable us to achieve all three goals of interoperability, space and query efficiency. In addition, we'll provide an overview of what's coming in Parquet and Arrow in the next year.

Sponsored - How Malwarebytes Leverages Big Data, AI and the Cloud to Protect Millions
11:20 am - 12:00 pm
By Sujay Kulkarni, Manager, Data Engineering - Data & AI, Malwarebytes and Sathwik Shirsat, Big Data Engineer, Malwarebytes
Sponsored - How Malwarebytes Leverages Big Data, AI and the Cloud to Protect Millions
11:20 am - 12:00 pm
Sujay Kulkarni
Sathwik Shirsat
Manager, Data Engineering - Data & AI at Malwarebytes
Big Data Engineer at Malwarebytes
11:20 AM - 12:00 PM

Malwarebytes protects millions of companies and individuals globally from the world’s most harmful internet threats and malware. They collect billions of records each day on a millisecond by millisecond basis, and apply advanced machine learning and AI to identify and profile harmful threats and their sources. Join Sujay Kulkarni, Manager - Data Engineering for Data & AI at Malwarebytes, to learn how his team has designed and built their massive data processing and AI framework in the cloud. He’ll explore their architectural evolution and the role of critical technology components, including Control-M, open source and other technologies, in collecting and analyzing large volumes of data for ‘zero day’ remediation.

Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
Lunch - Sponsored By WANdisco
Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. <a href=https://wandisco.com color='#FFFFFF'>WANdisco</a>
Lunch - Sponsored By WanDisco
WANdisco

WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. WANdisco

Applying Probabilistic Algorithms
1:15 pm - 1:55 pm
By Grant Kushida, Head of Engineering, Conversion Logic
Applying Probabilistic Algorithms
1:15 pm - 1:55 pm
Grant Kushida
Head of Engineering at Conversion Logic
1:15 PM - 1:55 PM

We have seen dramatic improvements to job runtimes and associated costs by applying probabilistic algorithms when appropriate. With big-data jobs running at scale, computing exact answers is often overkill - instead, we can often answer the question ""accurately enough"" by approximating a reasonably-correct answer. For our use case (marketing analytics) we have seen benefit from: - Approximate set membership (Bloom filter) - Approximate cardinality (Hyper Log-Log) This talk will focus on use-cases, considerations and impact; not on the details of the algorithms or implementation.

Sponsored - Big Data as a Service: Running Elasticsearch on Pure
2:05 pm - 2:45 pm
By Brian Gold, Founding Member, FlashBlade, PureStorage
Sponsored - Big Data as a Service: Running Elasticsearch on Pure
2:05 pm - 2:45 pm
Brian Gold
Founding Member, FlashBlade at PureStorage
2:05 PM - 2:45 PM

As organizations look to scale their use of modern analytics, the traditional deployment model of these tools has become a drag on productivity. Existing big-data architectures typically run on fixed sets of server instances with tightly coupled storage. While originally designed for scalability, these rigid environments cause server sprawl and increase time-to-deployment.

Towards Data Science Engineering Principles
2:55 pm - 3:35 pm
By Joerg Schad, Technical Lead Community Projects, Mesosphere
Towards Data Science Engineering Principles
2:55 pm - 3:35 pm
Joerg Schad
Technical Lead Community Projects at Mesosphere
2:55 PM - 3:35 PM

Over the last half century we have developed and refined the discipline of software engineering in order to accelerate the development and deployment of applications. This has involved a general shift towards DevOps practices that align developer and business objectives and dramatically reduce time-to-delivery. With the recent rise of data science and data analytics, the time has come to apply the principles of DevOps to data science and leverage the lessons from software engineering (and its systematic and repeatable methodology) to the discipline of data science. This rapidly emerging field is sometimes referred to as DataOps, and encompasses development of AI models and the overall platform surrounding them. In order to explore this concept, let's compare and contrast data science and software engineering principles. We can uncover similarities and differences between the two across the application development lifecycle.

Coffee Break
3:35 pm - 3:55 pm
Coffee Break
Coffee Break
CANCELLED - The Netflix Data Warehouse: 10 Years In and Staying Nimble
3:55 pm - 4:35 pm
By Chris Stephens, Content Data Engineering Manager, Netflix
CANCELLED - The Netflix Data Warehouse: 10 Years In and Staying Nimble
3:55 pm - 4:35 pm
Chris Stephens
Content Data Engineering Manager at Netflix
3:55 PM - 4:35 PM

In this talk, we'd like to recap how Netflix has worked through "first wave" data warehouse challenges over the last 10 years (tech stack, scalability, data ingest, compute vs storage), then describe our current focus on "second wave" challenges that come with environment maturity (our new data discovery tooling, our data quality and data auditing tooling maturity, "data doctor" alerts). For each point, we'll talk about how our solution allows us to address "second wave" issues while allowing us to stay nimble. We hope we can share our ideas with companies running mature analytics environments and smaller / newer companies that are curious about what the future may hold.

Graph Computing: How the Gremlin Stole Christmas
4:45 pm - 5:25 pm
By Justine Cocchi, Software Engineer, Microsoft
Graph Computing: How the Gremlin Stole Christmas
4:45 pm - 5:25 pm
Justine Cocchi
Software Engineer at Microsoft
4:45 PM - 5:25 PM

Graph databases are popular for modeling data where the relationship between data points is at least as important as the data points themselves. Come learn how and when you should leverage graphs to better model scenarios like social networks, project workflows, or in our case, Santa's present delivery route. We'll learn about the Gremlin console and how you can use Gremlin, a graph query language (think SQL for relational databases), with Azure Cosmos DB's Graph API to traverse your graph. Additionally, because Cosmos DB is NoSQL and multi-model we will also touch on how you can access your graph in other ways!

Enabling real-time exploration and analytics at scale to drive operational intelligence at Hulu
5:35 pm - 6:15 pm
By Indrasis Mondal, Director, Data Engineering and Data Products, Hulu
Enabling real-time exploration and analytics at scale to drive operational intelligence at Hulu
5:35 pm - 6:15 pm
Indrasis Mondal
Director, Data Engineering and Data Products at Hulu
5:35 PM - 6:15 PM

Data is one of most powerful assets for companies today and a key driver for innovation, product development and business efficiency. Operational intelligence allows modern organization to use that data asset in real-time to enable immediate insights to their business operations and allow rapid decision making for strategic advantage. In this presentation we will walk through the operational intelligence capabilities Hulu has built to process tens of millions of events per minute to enable fast exploration of data and real-time decision making .

Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma
Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx
Networking Reception - Sponsored by BCG Gamma
BCG Gamma

Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx

Emerging Tech
Emerging Tech
Registration Check-In / Info
7:00 am - 8:30 am
Registration Check-In / Info
Registration Check-In / Info
7:00 am - 8:30 am
Keynotes
8:30 am - 9:58 am
Keynotes
Keynotes
8:30 am - 9:58 am
Keynotes: </br> </br> Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am) </br> Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am) </br> Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am) </br> Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am) </br> Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am) </br> Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am) </br> Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am) </br> Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am) </br> Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am) </br> Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am) </br>

Keynotes:

Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am)
Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am)
Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am)
Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am)
Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am)
Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am)
Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am)
Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am)
Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am)
Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am)

Coffee Break
10:00 am - 10:20 am
Coffee Break
Coffee Break
Coffee Break

Coffee Break

Blockchain in Residential Real Estate
10:30 am - 11:10 am
By Andy Barkett, Vice President, Engineering & AI, REX Real Estate
Blockchain in Residential Real Estate
10:30 am - 11:10 am
Andy Barkett
Vice President, Engineering & AI at REX Real Estate
10:30 AM - 11:10 AM

The promise of the blockchain in real estate has not yet been realized in any significant applications. REX is pursuing two types of real estate Dapps simultaneously: security tokens for houses to facilitate transfer and privacy, and utility tokens for automating record-keeping and removing the need for third parties in processes such as recording inspection results or title searches.

Sponsored - When Rotten Tomatoes isn’t enough: Analyzing Twitter Movie Reviews using DataStax Enterprise
11:20 am - 12:00 pm
By Amanda Moran, Technical Evangelist, DataStax
Sponsored - When Rotten Tomatoes isn’t enough: Analyzing Twitter Movie Reviews using DataStax Enterprise
11:20 am - 12:00 pm
Amanda Moran
Technical Evangelist at DataStax
11:20 AM - 12:00 PM

Getting real-time insights is essential in this fast-paced world - like finding a good movie to catch this weekend. In this talk, we’ll use sentiment analysis on Twitter data about the latest movie titles to answer that age old question: “Is that movie any good?” We’ll show how we built the solution using Apache Cassandra, Apache Spark and DataStax Enterprise Analytics. This is a great talk to attend if you are new to the big data space, want to learn more about Cassandra and Spark, or just want to see a demo of DataStax latest product.

Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
Lunch - Sponsored By WANdisco
Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. <a href=https://wandisco.com color='#FFFFFF'>WANdisco</a>
Lunch - Sponsored By WanDisco
WANdisco

WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. WANdisco

The Future of Workplace Insights With Augmented Reality (AR) and Big Data
1:15 pm - 1:55 pm
By Gary Nakanelua, Managing Director of Experimentation & Invention, Blueprint Technologies
The Future of Workplace Insights With Augmented Reality (AR) and Big Data
1:15 pm - 1:55 pm
Gary Nakanelua
Managing Director of Experimentation & Invention at Blueprint Technologies
1:15 PM - 1:55 PM

The world isn't flat so why are your dashboards? In this talk, we demonstrate how augmented reality (AR) can be leveraged with a large variety of data sources to give a deeper level of insight into daily workplace operations. Key takeaways include a demonstration of an AR view of employee productivity and enterprise operations using business system telemetry data and enterprise communication data. We will also give a practical look at organization modernization with AR and big data.

Sponsored - Streaming and IoT
2:05 pm - 2:45 pm
By Pat Alwell, Solutions Engineer, Hortonworks
Sponsored - Streaming and IoT
2:05 pm - 2:45 pm
Pat Alwell
Solutions Engineer at Hortonworks
2:05 PM - 2:45 PM

Hortonworks DataFlow (HDF) is built with the vision of creating a platform that enables enterprises to build dataflow management and streaming analytics solutions that collect, curate, analyze and act on data in motion across the datacenter and cloud. Do you want to be able to provide a complete end-to-end streaming solution, from an IoT device all the way to a dashboard for your business users with no code? Come to this session to learn how this is now possible with HDF 3.1.

A Researcher's Guide to the Third Dimension: Best Practices for Immersive Data Visualization
2:55 pm - 3:35 pm
By Harry Brisson, Director, Nielsen Media Lab, Nielsen
A Researcher's Guide to the Third Dimension: Best Practices for Immersive Data Visualization
2:55 pm - 3:35 pm
Harry Brisson
Director, Nielsen Media Lab at Nielsen
2:55 PM - 3:35 PM

One of the most exciting applications of VR is it's ability to create engaging and compelling exploratory data visualizations. Join us as we highlight some of our favorite examples, including some of Nielsen's own work in the space visualizing our rich viewership data. Along the way, we'll highlight 5 best practices you can apply as you venture into the third dimension. Plus: a quick tutorial on how you can create your own immersive visualizations in WebVR using A-Frame and D3.

Coffee Break
3:35 pm - 3:55 pm
Coffee Break
Coffee Break
Mapping the World in 3D
3:55 pm - 4:35 pm
By Ryan Measel, CTO, Fantasmo
Mapping the World in 3D
3:55 pm - 4:35 pm
Ryan Measel
CTO at Fantasmo
3:55 PM - 4:35 PM

The physical and digital worlds are converging. The proliferation of dense, semantically-labeled 3D maps is a fundamental need for current and emerging industries including augmented reality, autonomous robotics, retail, accessibility, and emergency response among others. In this talk, we will discuss the confluence of factors driving the next generation of maps and the challenges ahead.

A Serverless Approach to Data Processing using Apache Pulsar
4:45 pm - 5:25 pm
By Karthik Ramasamy, Chief Product Officer, Streamlio
A Serverless Approach to Data Processing using Apache Pulsar
4:45 pm - 5:25 pm
Karthik Ramasamy
Chief Product Officer at Streamlio
4:45 PM - 5:25 PM

Serverless is touted as next trend in computing. It refers to applications where server-side logic is written by application developer but unlike traditional architectures, its runtime consists of compute containers that are event triggered, ephemeral and fully managed by cloud providers in the case of public cloud or by dev-ops team in private cloud. While serverless is more viewed as a tool for microservices, the analytical world is still beset with tools with complicated APIs. In this talk, we will explore how the serverless paradigm is applied to data processing in Apache Pulsar, a next-generation data messaging platform. Apache Pulsar provides native support for serverless functions where the data is processed as soon as it arrives in a streaming fashion and that provides flexible deployment options (thread, process, container). We will describe how these functions make data engineering easier especially for common tasks in data transformation, data extraction, content routing and content filtering. Furthermore, we will describe how they can be applied to edge computing use cases where lots of noisy data is filtered and only relevant data is processed and transported to the data center.

CANCELLED - VR/AR Interface Design
5:35 pm - 6:15 pm
This event has been canceled
CANCELLED - VR/AR Interface Design
5:35 pm - 6:15 pm

This event has been canceled.

Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma
Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx
Networking Reception - Sponsored by BCG Gamma
BCG Gamma

Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx

Infrastructure & Security
Infrastructure & Security
Registration Check-In / Info
7:00 am - 8:30 am
Registration Check-In / Info
Registration Check-In / Info
7:00 am - 8:30 am
Keynotes
8:30 am - 9:58 am
Keynotes
Keynotes
8:30 am - 9:58 am
Keynotes: </br> </br> Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am) </br> Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am) </br> Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am) </br> Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am) </br> Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am) </br> Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am) </br> Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am) </br> Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am) </br> Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am) </br> Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am) </br>

Keynotes:

Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am)
Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am)
Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am)
Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am)
Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am)
Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am)
Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am)
Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am)
Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am)
Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am)

Coffee Break
10:00 am - 10:20 am
Coffee Break
Coffee Break
Coffee Break

Coffee Break

Physical Security via Digitization and IOT
10:30 am - 11:10 am
By Nader Fathi, CEO, Kiana
Physical Security via Digitization and IOT
10:30 am - 11:10 am
Nader Fathi
CEO at Kiana
10:30 AM - 11:10 AM

Protecting people, locations and assets is a critical part of any enterprise. Robust security surveillance systems are often inadequate or cost prohibitive, especially when it comes to locations with large square footage, very active foot traffic, or a high volume of transient visitors such as corporate campuses, event venues, transportation hubs and shopping malls. Luckily, we live in a world where everything and everyone is connected. Every person today emits and leaves behind a digital footprint that when combined with location, time and camera data, can be utilized to enhance premise security and safety. Today's IoT solutions offer peace of mind to facility managers, security guards, and corporations across the globe.

Sponsored - From the Panama Papers to Russian Trolls - How Graph Databases are Revealing Hidden Relationships and Exposing Corruption.
11:20 am - 12:00 pm
By Mark Quinsland, Field Engineer, Neo4j
Sponsored - From the Panama Papers to Russian Trolls - How Graph Databases are Revealing Hidden Relationships and Exposing Corruption.
11:20 am - 12:00 pm
Mark Quinsland
Field Engineer at Neo4j
11:20 AM - 12:00 PM

With the assistance of Neo4j's graph experts, the International Consortium for Investigative Journalism won the Pulitzer Prize for exposing the complex relationships hidden away in the Panama Papers of the wealthy, their money, government officials, and tax havens. Neo also provided them with expertise for analyzing the subsequent Paradise Papers. More recently, Neo helped MSNBC use graph techniques to successfully identify the Russian Trolls responsible for over 200k fake tweets during the 2016 election This presentation will show the techniques used in these projects and how they are being used successfully by many global organizations for their cybersecurity, identity resolution, and fraud use cases.

Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
Lunch - Sponsored By WANdisco
Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. <a href=https://wandisco.com color='#FFFFFF'>WANdisco</a>
Lunch - Sponsored By WanDisco
WANdisco

WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. WANdisco

Drawing the Proper Balances -- Security, Convenience, and Privacy
1:15 pm - 1:55 pm
By Seth Stodder, Partner, Holland & Knight LLP
Drawing the Proper Balances -- Security, Convenience, and Privacy
1:15 pm - 1:55 pm
Seth Stodder
Partner at Holland & Knight LLP
1:15 PM - 1:55 PM

Discussing the proper balances between the public's need for security and law enforcement, our desire for the fruits of big data analytics, and our privacy rights, drawing from my experiences as Assistant Secretary of Homeland Security in the Obama Administration and a professor teaching national security law at USC Law School.

Sponsored - Populating your Enterprise Data Hub for Next Gen Analytics
2:05 pm - 2:45 pm
By Sushree Mishra, Senior Sales Engineer, Syncsort
Sponsored - Populating your Enterprise Data Hub for Next Gen Analytics
2:05 pm - 2:45 pm
Sushree Mishra
Senior Sales Engineer at Syncsort
2:05 PM - 2:45 PM

Syncsort data integration solution and data quality solution on hadoop can help accelerate the process of Populating your Enterprise Data Hub with data from multiple disparate data sources like legacy systems, databases, ERPs ,CRMs ,etc. Standardizing and cleansing the data before it is ingested into the data lake will dramatically increase the analytics value proposition.

CANCELLED - What does Probability Theory have to do with Cyber Security? It turns out, a lot.
2:55 pm - 3:35 pm
By Chris Calvert, Co-Founder & VP Product Strategy, Respond Software
CANCELLED - What does Probability Theory have to do with Cyber Security? It turns out, a lot.
2:55 pm - 3:35 pm
Chris Calvert
Co-Founder & VP Product Strategy at Respond Software
2:55 PM - 3:35 PM

Cyber security attacks are increasing in frequency, each one becoming more potentially harmful than the last. Traditional methods of threat prediction and mitigating risks cannot keep pace with the increased sophistication of attacks, requiring a fundamental shift in security technology. Respond Analyst leverages Probability Theory and advanced algorithms to analyze all relevant cyber observables, ultimately making fully contextualized and informed decisions at the scale, speed and consistency no human can match. Key Takeaways: - Today's sophisticated security attacks require a new way of thinking about security within the enterprise - Probability theory, applied in the context of enterprise security, is a major paradigm shift and requires a change in how we think about, and address, risk - Uncertainty, dimensional probabilities shades of grey - Proactive rather than reactive - Reasoning over rules-based logic - Respond Analyst software analyzes all relevant cyber observables to predict and learn; ultimately making fully contextualized and informed decisions, based on the most likely explanation, with the scale, speed and consistency no human can match.

Coffee Break
3:35 pm - 3:55 pm
Coffee Break
Coffee Break
Critical data management practices for easy and unified data access that is secured and meets regulatory compliance
3:55 pm - 4:35 pm
By Amandeep Khurana, CEO, Okera
Critical data management practices for easy and unified data access that is secured and meets regulatory compliance
3:55 pm - 4:35 pm
Amandeep Khurana
CEO at Okera
3:55 PM - 4:35 PM

The desire to stay competitive, deliver better customer experiences and gain greater business agility is driving companies to move their data platforms to the cloud. Data analysts and scientists want modern, advanced analytics that are self-service. Companies who are well down the path to the cloud now have multiple projects involving various parts of the company but often without any notion of access, governance or security common across these projects. This quickly opens the door to risk and confusion. This session will focus on critical data management practices that companies should adopt to achieve the desired benefits and avoid the pitfalls that could lead to complex expensive architectures and unattainable enterprise or regulatory governance requirements.

Agile Integration Using an Enterprise Data Hub
4:45 pm - 5:25 pm
By Michael Malgeri, Principal Technologist, MarkLogic, Corp.
Agile Integration Using an Enterprise Data Hub
4:45 pm - 5:25 pm
Michael Malgeri
Principal Technologist at MarkLogic, Corp.
4:45 PM - 5:25 PM

Today, business processes and decisions are driven from information contained in a variety of internal systems of record (SoRs) and other external sources (social media, partners, suppliers, customers). Enterprises are discovering that out of the box (OOTB) solutions often don't exist for their operational and observational requirements. In addition, traditional integration solutions often take too long to implement and are brittle. This presentation will discuss how an enterprise operational data hub (ODH) can be an agile, flexible solution for integrating key information sources in a timely manner for driving mission critical applications and reporting.

AI Powered Customer Analytics in the age of GDPR
5:35 pm - 6:15 pm
By Charmee Patel, Product Innovation Research, Syntasa
AI Powered Customer Analytics in the age of GDPR
5:35 pm - 6:15 pm
Charmee Patel
Product Innovation Research at Syntasa
5:35 PM - 6:15 PM

Online and offline customer interactions generate prodigious amount of data that can be analyzed by AI and ML algorithms in order to improve customer experience. The recently enacted European General Data Protection Rules (GDPR) grants customers control over their data including the right to be forgotten. The big data technologies that are capable of analyzing massive customer interaction data (e.g., HDFS, Kafka, Spark, Flink, and Beam) are most performant when working with immutable data, which does not bode well with the right to be forgotten. In this presentation, we briefly discuss the implications of GDPR on various behavioral data generated by websites, apps, in-store, and ad impression data. We show how GDPR requirements can be efficiently satisfied using an architecture that isolates a GDPR-safe analytics zone, which is the only area accessible to the users, from the input and output zones where encryption, decryption, and key-management is tightly controlled to satisfy the GDPR requirements.

Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma
Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx
Networking Reception - Sponsored by BCG Gamma
BCG Gamma

Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx

Visualizations/ UI/ Use Cases
Visualizations/ UI/ Use Cases
Registration Check-In / Info
7:00 am - 8:30 am
Registration Check-In / Info
Registration Check-In / Info
7:00 am - 8:30 am
Keynotes
8:30 am - 9:58 am
Keynotes
Keynotes
8:30 am - 9:58 am
Keynotes: </br> </br> Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am) </br> Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am) </br> Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am) </br> Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am) </br> Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am) </br> Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am) </br> Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am) </br> Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am) </br> Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am) </br> Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am) </br>

Keynotes:

Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am)
Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am)
Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am)
Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am)
Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am)
Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am)
Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am)
Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am)
Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am)
Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am)

Coffee Break
10:00 am - 10:20 am
Coffee Break
Coffee Break
Coffee Break

Coffee Break

Best Practices in Data Visualization
10:30 am - 11:10 am
By Shilpa Balan, Assistant Professor, California State University-Los Angeles
Best Practices in Data Visualization
10:30 am - 11:10 am
Shilpa Balan
Assistant Professor at California State University-Los Angeles
10:30 AM - 11:10 AM

Visualizations are an effective way to communicate information. Visuals make it easy to spot patterns. Visualizing data leads to better data enlightenment. A good visualization should tell the story in seconds. Data visualizations are a medium to present interesting analysis and findings. Good visuals consider both user needs and business needs. Many data analysts are not experts in communicating or presenting the insights effectively. This could result in several insights being lost in the presentation. A data analyst should be able to present the insights to the end users. Data can be worthy only if the end users can understand it. Thus, the goal of data visualization is to use images to improve the user's understanding of the data. The aim of this presentation is to discuss the best practices of data visualization and how data analysts can use these techniques to communicate their results and findings effectively to the end users.

Sponsored - A tale of two BI standards: Data warehouses and data lakes
11:20 am - 12:00 pm
By Shant Hovsepian, Co-Founder and CTO, Arcadia Data
Sponsored - A tale of two BI standards: Data warehouses and data lakes
11:20 am - 12:00 pm
Shant Hovsepian
Co-Founder and CTO at Arcadia Data
11:20 AM - 12:00 PM

Data lakes as part of the logical data warehouse (LDW) have entered the trough of disillusionment. Some failures are due to lack of value from businesses focusing on the big data challenges and not the big analytics opportunity. After all, data is just data until you analyze it. While the data management aspect has been fairly well understood over the years, the success of business intelligence (BI) and analytics on data lakes lags behind. In fact, data lakes often fail because they are only accessible by highly skilled data scientists and not by business users. But BI tools have been able to access data warehouses for years, so what gives? Shant Hovsepian explains why existing BI tools are architected well for data warehouses but not data lakes, the pros and cons of each architecture, and why every organization should have two BI standards: one for data warehouses and one for data lakes.

Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
Lunch - Sponsored By WANdisco
Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. <a href=https://wandisco.com color='#FFFFFF'>WANdisco</a>
Lunch - Sponsored By WanDisco
WANdisco

WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. WANdisco

Telling Meaningful Stories with Data
1:15 pm - 1:55 pm
By Alyssa Columbus, Datanaut, NASA
Telling Meaningful Stories with Data
1:15 pm - 1:55 pm
Alyssa Columbus
Datanaut at NASA
1:15 PM - 1:55 PM

According to Edward Tufte, an excellent data visualization expresses “complex ideas communicated with clarity, precision and efficiency. Visualization is a dynamic form of persuasion, telling a story through the graphical depiction of statistical information. Few forms of communication are as persuasive as a compelling narrative. So how does a data scientist tell a meaningful story with a visualization? The analysis has to find the story that the data supports, and journalists have become very good at storytelling with visualization via infographics. In that vein, this presentation will share how some journalistic strategies on telling a good story can be applied to data visualization.

Sponsored - Why use a columnar database for analytical workloads
2:05 pm - 2:45 pm
By Shane Johnson, Senior Director, MariaDB
Sponsored - Why use a columnar database for analytical workloads
2:05 pm - 2:45 pm
Shane Johnson
Senior Director at MariaDB
2:05 PM - 2:45 PM

In this session, we’re going to discuss how columnar databases the improve performance and efficiency of analytical workloads. We’ll begin by explaining why transactional queries (e.g., return every column in a single row) benefit from row-based storage whereas analytical queries (e.g., return the aggregate of a single column in every row) benefit from column-based storage. We will walk through the storage and query processing architecture of MariaDB AX, an open source columnar database, to show how columnar databases work. In addition, we will show how massively parallel processing, combined with column-based storage, not only improves the performance and efficiency of analytical workloads, but scales to support interactive, ad hoc analytical queries on terabytes of data and billions of rows in real time.

Standing on shoulder of giants building Core Digital Media's data platform using Big Data technologies
2:55 pm - 3:35 pm
By Sooraj Akkammadam, ETL Architect, Core Digital Media
Standing on shoulder of giants building Core Digital Media's data platform using Big Data technologies
2:55 pm - 3:35 pm
Sooraj Akkammadam
ETL Architect at Core Digital Media
2:55 PM - 3:35 PM

Core Digital Media is one of the leading advertisers in the online space. We are responsible for about a fifth of the ads a person sees online on a day to day basis. This is accomplished by our Marketing team, who continues to find performance wins by leveraging propriety algorithms, deep learning models and advanced analytics to optimize the Ad spend. All these frameworks rely on the performance data available in the Core Digital Media’s Enterprise Data Warehouse (EDW) to make decisions. The performance data is collected from a multitude of marketing channels like Social (Facebook), Search(Google), Content(Taboola), Media, Affiliate and Retention and integrated into EDW. Timely and consistent availability of data in EDW is extremely critical for marketing optimization. This talk details how we migrated our Marketing data loads from a legacy ETL platform to a data infrastructure built around Apache Kafka and Apache Spark, using Python and Scala. This migration not only lead to a reduction in data availability times from an average of >60 minutes to 2 mins but also we are able to load 24*7 into the EDW. As a part of the talk we will talk about why we chose Kafka and Spark Structured streaming for this, what were some of the challenges we faced and also some of the best practices to follow for implementing data streaming architectures.

Coffee Break
3:35 pm - 3:55 pm
Coffee Break
Coffee Break
How a data science project effected change for low-income parking citation holders
3:55 pm - 4:35 pm
By Chia-Yui Lee, Data Science, TIBCO Software
How a data science project effected change for low-income parking citation holders
3:55 pm - 4:35 pm
Chia-Yui Lee
Data Science at TIBCO Software
3:55 PM - 4:35 PM

In March 2018, the San Francisco Municipal Transportation Agency (SFMTA) announced reforms that would alleviate the burden of parking ticket fines on low-income San Franciscans. There is increasing awareness that parking citations can result in disproportionate hardship for drivers, from late fees, towing, and even loss of income resulting from the impounding or sale of a vehicle. Attend this presentation to learn how Tipping Point, a non-profit that fights poverty in the San Francisco Bay Area, with the help of data scientists from TIBCO, used a collaborative data science platform and point-and-click machine learning tools to uncover insights from parking citation data. We will also show you the importance of a versatile visual analytics platform in communicating the findings to decision makers.

Creating operational efficiency: Automating big data, AI, and ML to improve profit
4:45 pm - 5:25 pm
By Marie Smith, Chief Information Officer, Data 360
Creating operational efficiency: Automating big data, AI, and ML to improve profit
4:45 pm - 5:25 pm
Marie Smith
Chief Information Officer at Data 360
4:45 PM - 5:25 PM

Manual tasks take time. They must be performed linearly by humans who are prone to errors and who are unable to consistently perform to the highest standards. Automation reduces the number of tasks you and your employees would otherwise need to do manually. This frees up your time to work on items that add genuine value to the business, allowing you to be more innovative and increasing your employees’ levels of motivation. Automation also allows you to get more done in the same amount of time, greatly increasing productivity. Learn how to use automation with artificial intelligence (AI) in this enlightening workshop and profit.

How is Blockchain Changing Big Data Relationships in Entertainmemt
5:35 pm - 6:15 pm
By Mariana Danilovic, CEO, Hollywood Portfolio
How is Blockchain Changing Big Data Relationships in Entertainmemt
5:35 pm - 6:15 pm
Mariana Danilovic
CEO at Hollywood Portfolio
5:35 PM - 6:15 PM

It could be a presentation or a panel about big data issues in Entertainment that are driving adoption of blockchain platforms.

Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma
Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx
Networking Reception - Sponsored by BCG Gamma
BCG Gamma

Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx

Tutorials
Tutorials
Registration Check-In / Info
7:00 am - 8:30 am
Registration Check-In / Info
Registration Check-In / Info
7:00 am - 8:30 am
Keynotes
8:30 am - 9:58 am
Keynotes
Keynotes
8:30 am - 9:58 am
Keynotes: </br> </br> Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am) </br> Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am) </br> Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am) </br> Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am) </br> Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am) </br> Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am) </br> Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am) </br> Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am) </br> Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am) </br> Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am) </br>

Keynotes:

Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am)
Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am)
Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am)
Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am)
Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am)
Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am)
Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am)
Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am)
Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am)
Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am)

Coffee Break
10:00 am - 10:20 am
Coffee Break
Coffee Break
Coffee Break

Coffee Break

Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
Lunch - Sponsored By WANdisco
Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. <a href=https://wandisco.com color='#FFFFFF'>WANdisco</a>
Lunch - Sponsored By WanDisco
WANdisco

WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. WANdisco

Data Science Tutorial
2:00 pm - 6:00 pm
Data Science Tutorial
Data Science Tutorial
2:00 pm - 6:00 pm
Blockchain tutorial
2:00 pm - 6:00 pm
Blockchain tutorial
Blockchain tutorial
2:00 pm - 6:00 pm
Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma
Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx
Networking Reception - Sponsored by BCG Gamma
BCG Gamma

Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx

Startup Showcase
Startup Showcase
Registration Check-In / Info
7:00 am - 8:30 am
Registration Check-In / Info
Registration Check-In / Info
7:00 am - 8:30 am
Keynotes
8:30 am - 9:58 am
Keynotes
Keynotes
8:30 am - 9:58 am
Keynotes: </br> </br> Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am) </br> Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am) </br> Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am) </br> Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am) </br> Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am) </br> Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am) </br> Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am) </br> Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am) </br> Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am) </br> Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am) </br>

Keynotes:

Introduction - Subash D’Souza - Organizer at Big Data Day LA (8:30 am - 8:40 am)
Keynote - Abbass Sharif, PHD. - University of Southern California (8:41 am - 8:44 am)
Keynote - Megan Risdal - Kaggle/ Google (8:45 am - 8:55 am)
Keynote - Ken Weiner - GumGum (8:56 am - 9:06 am)
Keynote - Mike Limcaco - Agilisium (9:07 am - 9:10 am)
Keynote - Gwen Shapira - Confluent (9:11 am - 9:21 am)
Keynote - Justin Herz - Warner Bros. (9:22 am - 9:32 am)
Keynote - Tim Eusterman - BMC Software (9:33 am - 9:36 am)
Keynote - Diego Saenz - Accenture (9:37 am - 9:47 am)
Keynote - Sari Ladin-Sienne - City of LA (9:48 am - 9:58 am)

Coffee Break
10:00 am - 10:20 am
Coffee Break
Coffee Break
Coffee Break

Coffee Break

Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
Lunch - Sponsored By WANdisco
Lunch - Sponsored By WANdisco
12:00 pm - 1:15 pm
WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. <a href=https://wandisco.com color='#FFFFFF'>WANdisco</a>
Lunch - Sponsored By WanDisco
WANdisco

WANdisco Fusion gives you LiveData - consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Business critical data is guaranteed consistent, always available, and accessible from anywhere. WANdisco

Startup Showcase
2:00 pm - 4:00 pm
Startup Showcase
Startup Showcase
2:00 pm - 4:00 pm
Meet the 2018 Startup Showcase Finalists: <br /> <a href="https://atoken.org" target="_blank"> Alpha Token </a><br /> <a href="http://arwall.co" target="_blank"> ARWall </a><br /> <a href="https://autum.com" target="_blank"> Autum </a><br /> <a href="https://www.fcfl.io" target="_blank"> FANChise </a><br /> <a href="https://www.muzaicshows.com" target="_blank"> Muzaic </a><br /> <a href="https://www.mvpcast.com" target="_blank"> MVPCast </a><br /> <br /> Finalists will present a 5-min pitch onstage to a panel of judges from Warner Bros., Disney, NBCUniversal, Netflix, Hulu, USC, and TenOneTen Ventures. First place winner gets a one-on-one feedback and strategy session with a VC from TenOneTen Ventures, and top three winners also get cash prizes, and General Assembly credits!
Startup Showcase

Meet the 2018 Startup Showcase Finalists:
Alpha Token
ARWall
Autum
FANChise
Muzaic
MVPCast

Finalists will present a 5-min pitch onstage to a panel of judges from Warner Bros., Disney, NBCUniversal, Netflix, Hulu, USC, and TenOneTen Ventures. First place winner gets a one-on-one feedback and strategy session with a VC from TenOneTen Ventures, and top three winners also get cash prizes, and General Assembly credits!

Panel on Technology Innovation in the Media & Entertainment Space
4:00 pm - 5:30 pm
Panel on Technology Innovation in the Media & Entertainment Space
4:00 pm - 5:30 pm
Data Con LA is proud to announce a panel on Media & Entertainment immediately following the startup showcase. Be sure not to miss this talk on how technology is changing the landscape of Media & Entertainment!

Data Con LA is proud to announce a panel on Media & Entertainment immediately following the startup showcase. Be sure not to miss this talk on how technology is changing the landscape of Media & Entertainment!

Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma
Networking Reception - Sponsored by BCG Gamma
6:15 pm - 7:15 pm
Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx
Networking Reception - Sponsored by BCG Gamma
BCG Gamma

Networking Reception - Sponsored by BCG Gamma BCG Gamma Making AI real for business We build solutions to radically transform the business performance of the world's most iconic companies in nine to twelve months; unleashing the power of large and complex data sets and fostering a culture of innovation and radical change. Our agile, self-funded, and AI-powered solutions ensure continuous improvement for our clients. We focus on enablement from day one, co-creating solutions with the client while building assets and capabilities. We think big, start small, and scale fast, constructing end-to-end, fit-for-purpose solutions that our clients own and integrate into their unique technology stack with full transparency into components, services, and code. We are made of a special alloy, the GAMMA alloy: passionate and inventive top-notch data scientists and technologists with sharp business minds. It’s business with data science and technology built in—an analytics powerhouse with a business backbone. Speed, scale, security. Smart. BCG GAMMA. https://www.bcg.com/en-us/beyond-consulting/bcg-gamma/default.aspx

Tutorials / 2018 Tutorials

This year attendees will be able to register for tutorials – Blockchain & Datascience on site. The space is limited and open to registered attendees. You must bring your laptops. Registration will be confirmed once you sign up and your email is validated. You can only sign up for one or the other since both tutorials go on at the same time between 2-6 PM. Further instructions will be sent once you are confirmed!!

The tutorials are now full!!

Blockchain Tutorial provided by Abraham Elmahrek

Datascience Tutorial provided by theDevMasters, a GBCS company

About the Conference / What You Need To Know

Data Con LA is the largest, of its kind, data conference in Southern California. Spearheaded by Subash D’Souza and organized and supported by a community of volunteers, sponsors and speakers, Data Con LA features the most vibrant gathering of data and technology enthusiasts in Los Angeles.

Attendance is free if you register before Apr 30th. Following the early registration deadline, we are introducing a tiered pricing model. We believe people who are willing to pay a small fee are more likely to attend the event, and having an accurate number of attendees helps us prepare and manage the event.

March & April: Registration is FREE starting March 1 through April 30th.

May & June: $40 to register

July 1st until the day of the event: $50 to register

Students get 50% off using code STDNT (bring your ID card on the day of event to check-in)

Data Con LA began as Big Data Day LA in 2013, with just over 250 attendees. We have since grown to over 550 attendees in 2014, 950+ attendees in 2015, 1200+ attendees in 2016, and 1550+ attendees in 2017. In 2018, we rebranded ourselves from Big Data Day LA to Data Con LA.

Our 2018 session tracks will include:

  • Data
  • AI/ ML/ Data Science
  • Emerging Tech
  • Visualizations/ UI/ Use Cases
  • Infrastructure & Security

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Attendees / See Who Will Be There

/ Data Scientists

/ Software Developers

/ System Architects

/ Head Researchers

/ Business Analysts

/ Data Engineers

/ Technical Leads

/ CEOs, CTOs, CIO, etc.

/ IT Managers

/ Business Strategists

/ Data Analysts

/ Researchers

/ Head Data Scientists

/ Entrepreneurs

/ Consultants

Panel / 2018 Panel

Panel on Technology Innovation in the Media & Entertainment Space

Data Con LA is proud to announce a panel on Media & Entertainment immediately following the startup showcase. It will run from 4:00 PM to 5:30 PM in Bovard Auditorium. Be sure not to miss this talk on how technology is changing the landscape of Media & Entertainment.

Panelists

2018 Moderator – Joe Devon

Tech Entrepreneur & Advisor
Joe Devon is a serial entrepreneur, including founding roles in Diamond, Television Four & Global Accessibility Awareness Day (soon to be a 501c3). Joe has over 20 years of development experience in high profile projects spanning Digital Media, Search Engines, Performance Management; for Internet backbone providers, Investment Banks, Telcos, Big Pharma & Big Media. In addition to starting several companies, Joe serves/d on the boards of leading development industry conferences (Zendcon, Semtech), Cross Campus, LAX Chamber of Commerce & Empowertech.

Audrey Delaney

Founder at Starmetrics
Audrey Delaney is the founder of StarMetrics, an entertainment analytics platform and suite of tools designed to make the casting, financing and forecasting process easier for content creators. With StarMetrics, creators can easily understand and identify actors, directors and other talent across many data points, such as international value, social media reach, or box office impact.  In an increasingly global and complex entertainment marketplace, StarMetrics provides instant and up to the minute intelligence and analytics to creators.  Audrey is an entertainment industry veteran, having served as a high level senior executive for a number of international sales and distribution companies, including Blue Fox Entertainment, Myriad Pictures, Lightning Entertainment, and Media 8 Entertainment.  She has overseen the acquisition, distribution and marketing of many high profile independent films including Summer ’03 starring Joey King, Ride starring Bella Thorne, The Queen of Spain starring Penelope Cruz, the acclaimed drama The Disappearance of Eleanor Rigby starring Jessica Chastain and James MacAvoy, You’re Not You starring Hilary Swank, Emmy Rossum and Josh Duhamel, and Love and Honor starring Liam Hemsworth and Teresa Palmer.  She also worked on the acclaimed film Monster directed by Patty Jenkins, for which Charlize Theron won an Academy Award, The Upside of Anger starring Kevin Costner and Joan Allen. Audrey received a BA in Political Science from Yale University, attended the MFA film program at Columbia University (New York), and received an MBA with honors from the USC Marshall School of Business.

Hollie Choi

Executive Director, IT at Twentieth Century Fox
Hollie Choi is Executive Director of IT for Twentieth Century Fox. As the owner for Fox’s cornerstone system, an Intellectual Property Management platform, she recently completed a ground up rebuild of the UI and infrastructure migration. She has experience working in the Intellectual Property Management, Digital Asset Management, Enterprise Operations, and Studio Operations spaces. Hollie is dedicated to building and empowering teams who work so well together that they consistently deliver what others say is impossible. She is a founding member of Women @ Fox as well as 21stCentury Fox’s Women in Technology. She is a member of the Board of Directors for the Foundation at Pierce College. In all of her spare time, Hollie is an amateur genealogist who enjoys unlocking the mysteries of her ancestors.

Michael Lujan

Senior Director Application Engineering at NFL Media
Michael is a Sr. Director of Application Engineering at the NFL. His past experience include stints at Vixlet as VP of Engineering as well as managing roles at iHeartMedia and Dashbox

Rebecca Avery

Director, Content Operations at Pluto TV 
Rebecca Avery has been happily living in the world of post-production and distribution of traditional and digital content for 16 years. Rebecca got her start in 2002 as an award-winning commercial producer for radio, tv, and digital in the automotive advertising space. Since then, she has gained expertise as an unscripted television post-supervisor, a freelance short-form producer and consultant for OTT, and as the digital content manager and product owner for Ovation TV. An early adopter of media start-ups, Rebecca is currently at her 5th start-up employer as Director, Content Operations for Pluto TV.

Ryan Bell

Digital Media Specialist at NASA JPL
Ryan Bell is Digital Media Specialist at NASA JPL, Community Manager at Twitter and IMPG at The Television Academy. Follow him on Twitter or Instagram at @Ryan_A_Bell.

Organizers / 2018 Organizers

Subash D’Souza

Organizer, Sponsors Co-Chair

Organizers / 2018 Committee Leaders

Arti Annaswamy

Marketing Co-Chair

Deepender Singh

Sessions Co-Chair

Humberto Zuniga

Technology Co-Chair

Jason Brancazio

Sessions Co-Chair

Jimmy Kim

Locations Co-Chair

John Kim

Locations & Marketing Co-Chair

Kaloyan Todorov

Registration Co-Chair

Kate Reva

Marketing Co-Chair

Marc Waddell

Marketing Co-Chair

Mrinmoy Das

Sessions Co-Chair

Nicholas Cummings

Sponsors Co-Chair

Nilesh DSouza

Food/ Beverages Co-Chair

Priyanka Biswas, Ph.D

Marketing Co-Chair

Rich Ung

Technology Co-Chair

Ruben Barrios

Registration Co-Chair

Sanjeev Sehgal

Food/ Beverages Co-Chair

Shailesh Kini

Technology Co-Chair

Spencer Huang

Sponsors Co-Chair

Subash D’Souza

Organizer, Sponsors Co-Chair

Volunteers / 2018 Volunteers

Aaron Artea

C++ Programmer at Probable Futures

Adam Del Real

Data Scientist

Aman Mathur

Data Science Engineer at Chef'd

Andrew Young

R&D Data Scientist at Neustar

Ankitha Radhakrishna

Graduate Student at USC

Anna Rezhko

IT Support Specialist at Life Sciences Computing Group

Anthony James

Data Scientist at Southern California Edison

Anthony Rios

Consultant at Taos

Arnold Borres

Sr Systems Analyst at UST Global

Aroop Prusti

Manager at Cognizant

Bob Newstadt

Director of Business Intelligence at HopSkipDrive

Chulhee Lee

Student, MA Applied Math at CSU, Fullerton

David Harnick-Shapiro

Data Engineering Consultant

Dhiraj Ramnani

Data Science Intern at Warner Bros

Do Young Kim

Student at Fullerton College

Eric Liang

Engineering Student at UC Irvine

Eric Mena

Student at CSULB

Erik Gomez

Technical Recruiter at Eleven Recruiting

Gagan Bhargava

Sr. IT Consultant at Warner Bros

Germain Louie

Student at UC Irvine

Harini Srinivas

Graduate Student at USC

Himateja Madala

Data and Analytics at Warner Bros

Jessica Chen

Business Analyst at Warner Bros

Jill Long

Technical Symposium Chair at Cesasc

Joe Oh

Financial Advisor

Joey Hallock

Senior Structures Engineer at SpaceX

John Shojaei

Data Engineer at Ingram Micro

Joshua Villamarzo

Software Engineer and Entrepreneur

Juan Valdovinos

BD Representative at Fuel Cycle

Julia Erickson

Strategy Intern at MXM

Karen Masterson, Ph.D.

Data Analyst at Verizon Digital

Khyati Ganatra

Senior Software Developer Intern at IBM Watson

Lea Buenaventura

Product Lead at Warner Bros

Luis Colondres

Data Scientist-Business Intelligence

Mahdi Hosseini

Data Engineer at Ingram Micro, Inc.

Matti Siltanen

Executive Consultant at NDA

Michael Chiang

Founder at Eleven Recruiting

Muhammad Elnimr

Data Scientist at Einstein Assembly/theDevMasters

Nadine Shelton

Consultant

Nandan Chandrashekhar

Data Scientist at DeepCurrent

Nick Reva

Security Engineering at Snap

Nilay Pachauri

Student at USC

Pai Buabthong

PhD Candidate at Caltech

Prachi Agrawal

Data Science Intern at TicketMaster

Pradeep Nandagiri

Manager at Cognizant

Ravin Kumar

Supply Chain Systems Engineer II at SpaceX

Reza Rahman

Systems & Network Admin

Ritesh Dedhia

Sr. Manager, Data Engineering at Warner Bros

Rosana Lin Ho

Data Scientist at KB Home

Ryan Kim

Program Success Associate at Tuition.io

Sahil Malkani

Client Success Consultant at Neustar

Samara Miramontes

Associate at Proton Capital LLC

Santhosh Narayanan

Graduate Student at USC

Sarah Janowski

Associate Consultant at Neustar MarketShare

Sean Randle

Scrum Master at Independent Consulting

Shaily Parikh

Machine Learning Research Assistant at CiSoft Labs

Shehreen Dheda

Data Platforms Trainer at Qubole

Shubhi Bharal

Student at USC

Simon Lee

Senior Strategic Relations Executive at Captive Eight

Sina Talebian

Data Scientist at Niagara Bottling

Siva Kumar Rajagopal

Sr. Data Acquisition Specialist at FNG

Spencer Lee

Software Engineer at Oakwood School

Sree Priyanka Uppu

Performance Engineer at Oath

Stephen Bhadran

Principal Software Engineer at TripAdvisor

Steven Slezak

Senior Customer Data Analytics Lead at Farmers Insurance

Suryakiran George

Graduate Student at USC

Sylvia Tran

Data Scientist at OpenDrives

Tiffany Tan

Junior IT & Data Analyst

Tony DiPietra

Data Science Manager at loanDepot

Travis Huang

Data Scientist at AlgoLIFT

Twee Nguyen

Customer Success Consultant, Ad Operations at Neustar

Virali Thakkar

Software Engineer Intern at Pulse Secure

Xavier Vera

Data Scientist at theDevMasters

Yash Shah

Graduate Student at USC

Yifei Wang

Data Analyst at Neustar

Youki Joey Terukina

Business Relations Executive at Captive Eight

Zach Burks

Ethereum dapp Developer

Zinan Zhao

Sr. Data Scientist at Neustar, Inc.

Zonghao Liu

Mechanical Engineer at Romeo Power Technology