3 Big Data Challenges Your AI Project Will Face

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Presented by

Kiyoto Tamura, VP of Marketing, Treasure Data

About this talk

If you are working on an AI project, drop it. Chances are good that you don’t have AI problems (yet) but instead have data challenges. In this webinar, we will share what we learned from running a large data platform ingesting 2 million data points/sec and running 7 million queries for hundreds of enterprises. We will focus on the problems that you can tackle on Monday so that you are best positioned for next year and beyond. About the presenter: Kiyoto is VP of Marketing at Treasure Data. Previously, he was a Software Engineer at TrialPay and Trader at DRW Trading. He is a self-proclaimed hacker at heart: “creativity and do-ocracy over passivity and bureaucracy any day.”

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Treasure Data is the only enterprise Customer Data Platform (CDP) that harmonizes an organization’s data, insights, and engagement technology stacks to drive relevant, real-time customer experiences throughout the entire customer journey. Treasure Data helps brands give millions of customers and prospects the feeling that each is the one and only. With its ability to create true, unified views of each individual, Treasure Data CDP is central for enterprises who want to know who is ready to buy, plus when and how to drive them to convert. Flexible, tech-agnostic, and infinitely scalable, Treasure Data provides fast time to value even in the most complex environments. To learn more, visit www.treasuredata.com.