Scaling up Data-centric AI: Perception vs. Reality

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Presented by

Amber King, Arnab Bose, Sharath Gokula

About this talk

The latest in a series of Data Talks, UST IQ's thought leadership discussions on critical issues facing IT organizations. This session will focus on the realities of scaling-up Data-centric AI. Joining UST’s Senior Cloud Solutions Architect, Amber King will be Arnab Bose, Chief Scientific Officer at Abzooba, and Sharath Gokula, Director of Data Science & Analytics at Sam’s Club, to discuss this critical topic. 80% of the time in AI projects is getting the data ready for the algorithms. During this thought-provoking discussion, Amber and Arnab will examine and answer some critical questions regarding scaling up Data-centric AI, such as: • How prevalent is "dirty" data in real-life model building? • Why do we need to spend so much time on the data? • What data perspectives can you expect from new graduate hires? • Can we adopt software development principles for the data madness? • Do powerful AI/ML models solve your data problems? • Full Stack Data Scientists – are they for real?
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