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 Customer Data Cloud helps enterprises use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. Our suite of customer data platform solutions integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales, and Operations to drive personalized engagement and improve customer acquisition, sales, and retention. To learn more, visit www.treasuredata.com.