Garbage in, garbage out is a common saying among data and ML teams for good reason—but in today’s world, it’s no longer sufficient. Data (and the models it powers) can break at any point in the pipeline, and it’s not enough to simply account for data quality issues at ingestion. In this panel, executives from leading solutions across the data and ML toolchain will discuss the future of data-centric AI across the ML lifecycle and how teams can incorporate best practices in their respective areas.
Speakers
Mike Del Balso
Co-founder & CEO, Tecton
Dan Jefferies
Chief Technical Evangelist, Pachyderm / Managing Director, AIIA
Robert Nishihara
Co-Founder & CEO, Anyscale
Jason Lopatecki
Founder and CEO, Arize AI
Jason Lopatecki is co-founder and CEO of Arize AI, a machine learning observability company. He is a garage-to-IPO executive with an extensive background in building marketing-leading products and businesses that heavily leverage analytics. Prior to Arize, Jason was co-founder and chief innovation officer at TubeMogul where he scaled the business into a public company and eventual acquisition by Adobe. Jason has hands-on knowledge of big data architectures, programmatic advertising systems, distributed systems, and machine learning and data processing architectures. In his free time, Jason tinkers with personal machine learning projects as a hobby, with a special interest in unsupervised learning and deep neural networks. He holds an electrical engineering and computer science degree from UC Berkeley - Go Bears!
