Data and Algorithm Driven Commerce

Mok Oh (PayPal)
Business & Strategy Yerba Buena Salon 1-3

Data is becoming more and more prevalent. But neither all data is created equal, good, nor useful. The age of data and algorithm has come, where data mining and machine learning become necessities for all sorts of business, education, research and commerce.

Commerce has traditionally been “offline” and still super majority of transactions take place in retail stores than online. But the behaviors of consumers are changing as devices get more connected and mobile, and where information is readily available anytime, anywhere, any way.

To win in this new world of commerce, where the lines between online and offline are blurred, new tools of trade become necessary for survival.

In this talk, we discuss big data, algorithms, and use cases necessary to win in the new age of commerce.

Mok Oh

PayPal

As Chief Scientist, Mok Oh contributes to PayPal’s ongoing product innovation through the collection and analysis of a range of customer insights. For well over a couple of decades, he has been involved in researching and building technologies, products and businesses that help connect the offline and online worlds. Mok comes to PayPal from WHERE, Inc., which was acquired by eBay, Inc. in April 2011. As WHERE’s Chief Innovation Officer, Mok oversaw the development of the “Atlas Project,” which aims to better digitize the real (offline) world, better connecting it to the online world, and ultimately making the commerce ecosystem better as a result.

Prior to WHERE, Mok founded, a data visualization company called Everyscape that generated revenue streams from various markets: travel, local search, mobile. He’s played a multitude of roles throughout his career ranging from including data architecture and product management to intellectual property strategies and business development. Prior to founding EveryScape, he worked for Accenture as an Information Systems Analyst. Mok holds a Ph.D. in Computer Graphics from MIT, a M.S. in Computer Science from University of Pennsylvania, and Computer Science, Art History and Studio Art degrees from Oberlin College.

Mok is a seasoned speaker who has appeared at the MIT Lecture Series, Harvard School of Architecture, O’Reilly Where 2.0 Conference, Web 2.0 Summit, DEMO Conference (DEMOgod Winner).

  • Esri
  • AT&T Interactive
  • Google
  • Nokia, Location & Commerce
  • Facebook
  • Bing
  • Control Group
  • Localeze
  • MyCityWay
  • Socrata
  • Urban Airship
  • MapQuest

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