The Big Data Conference

Easton Technology Management Center & Center for MEMES present


NOVEMBER 18, 2016

8:30 a.m. – 3:30 p.m.

but when do you actually see it? Big data, in its short history, has become synonymous with unlocking the truth in business. And where the truth prevails against expectations, you will witness disruption.

This one-day interactive conference, organized by the Easton Center and the Center for MEMES at the UCLA Anderson School of Management, brings together a cross section of industry experts and academic thought leaders who are shaping and defining the conversation around the business aspects of big data. It is one of the few Big Data Conferences that approach the big data technology conversation from the business perspective.

The theme of this year’s Big Data Conference is Disruption. With data becoming an asset for organizations to stay competitive, big data technology is driving disruption in enterprises big and small in sectors including entertainment/media, health care, energy, financial services, retail and agriculture. Big data technology is creating new products and services and, often, new businesses, such as streaming music and content services. It is allowing for more effective targeting of content and marketing micro-targeting, and is maturing in terms of its impact on enterprises, with the advent of new technologies such as the Internet of Things, VR/AR and machine learning. Last year's conference had over 300 attendees and over 400 attendees are expected to join the conference this year. The ticket prices have not increased from last year.


  • How big data technology deployment has disrupted businesses and entire sectors
  • Understand and prepare how to use your data for your business to stay competitive
  • Where is the Big Data conversation headed in various sectors?
  • Are big data issues for startups different from those in large global corporations?
  • What Big data solutions are available to enterprises? Challenges that remain to be solved? How far have we come since the early days of big data and when will businesses begin to see an impact from big data?
  • How does a new technology such as virtual reality play a key role in making big data and its insights more accessible to key decision makers?
  • While big data solutions in many instances have focused on the storage and management of data, is it machine learning that will help discover insights for future predictions often without human intervention?

Whether you are providing technology solutions, using big data to make business decisions or thinking through how big data can make an impact in your organization, this is the one conference you need to attend!

Confirmed Speakers


Steve Canepa ('90)
General Manager - Global Telecommunications Media & Entertainment, IBM

Mr. Canepa is responsible for the P&L of a market-leading global organization working with firms in the Telecommunications, Cable, Entertainment, On-line, Games, Advertising, Broadcast, Publishing, Satellite, Sports, Music, Search, & Social segments. Steve has grown the business into one of the largest providers of solutions and services to the Industry and IBM’s top performing Industry Division. He is a trusted advisor to customers and partners regarding transformation in the Digital era.

Steve’s career has been centered on innovation and highlighted by increasingly complex leadership roles in General Management, Sales, Strategy, Marketing, Consulting and Business Development. A highly effective team builder who inspires lasting relationships with empowered employees, clients and partners, Steve is adept at scaling profitable multi-billion dollar global organizations.

A long-serving member of IBM’s Global Leadership Team, he serves on the IBM Global Transformation Team. Steve is a member of IBM’s Sales Leadership Team, Industry Academy and is IBM’s Senior Location Executive for the Los Angeles area. Steve has held a number of significant leadership positions in IBM’s Sales, Product and Services divisions. Over his career, he has also worked with customers in the Finance, Electronics and Retail Industries.

Steve has been an active member of many Boards, including Digital Domain (culminating with the successful sale of the business). He is currently serving on the Boards of the Los Angeles Area Chamber of Commerce, the technology committee of NATAS (EMMY), USC’s Annenberg Innovation Lab and USC’s Marshall Center for Global Innovation. He has also served on MusiCares (Grammy Foundation), Digital Hollywood and a number of other Industry Boards.  With a commitment to the welfare of children, he has been a long serving member of the Boards of the Bogart Pediatric Cancer Research Fund and Junior Achievement of So CA.

Steve earned two BA degrees from UCLA, in Economics and Political Science (with national honors), and also a MBA in Corporate Finance from UCLA’s Anderson School (with highest honors). He has also completed studies in the Wharton School’s financial management program and Harvard University’s executive curriculum on strategy formation.

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Keith Chen
Head of Economic Research, Uber (past)

Keith Chen is a tenured associate professor of economics at the UCLA Anderson School of Management. His research blurs traditional disciplinary boundaries in both subject and methodology, bringing unorthodox tools to bear on problems at the intersection of economics, psychology and biology.

In early work examining the evolutionary origins of economic behavior, he has shown that when monkeys are taught to use money, they display many of the hallmark biases of human economic behavior, suggesting that some of our most fundamental biases are evolutionarily ancient.

Professor Chen's most recent work focuses on how people's economic choices are influenced by the structure of their language. His work has shown that how a person's language encodes future events influences future-oriented behaviors as diverse as saving, smoking and safe sex.

Professor Chen also advises numerous companies on topics at the intersection of behavioral economics, business strategy, product design and dynamic pricing. He currently serves as head of economic research for Uber, where, among other projects, he designed Uber's "surge" pricing model.

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Pavandeep Kalra
Director of Data Science, Azure Machine Learning, Microsoft

Pavandeep Kalra is currently a Director Data Science at Azure Machine Learning in Microsoft where he is leading a team to create cutting edge machine learning solutions on the cloud with various customers & partners. 

Prior to Microsoft he has led various teams at Nokia, Oracle, Goldman Sachs & multiple startups. Pavandeep has over eight pending patent applications, and holds degrees from the Wharton and Engineering Schools of the University of Pennsylvania.

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Who should attend

This conference is for technologists, managers, directors, executives, entrepreneurs who are either providing technology solutions for their organization or using data analytics to make business decisions across all functional areas.

Click here to learn more about last year's Big Data Conference.


Sponsored By





Supported By

Easton Technology Management center           Center for Media Entertainment and Sports

Presented By

Easton Technology Management center Center for Media Entertainment and Sports