Ron Bodkin explains how Google is using AI internally to enhance understanding and experiences for its digital customers and enabling external businesses to do the same. Along the way, Ron shares examples of deep learning use cases that enable improved recommendations, help companies better understand their customers, and drive engagement in the customer lifecycle.
Ron outlines lessons from Google’s experiences with seven products with over a billion users as well as developing thousands of machine learning models, such as deep learning models with recommendations for Google Play and automated smart responses for Gmail. Ron also discusses how Google customers are innovating with deep learning, from improved recommendations and mobile support at Spotify to customer experience at Netflix and Evernote to and personalized shopping with intelligent bots at eBay. You’ll learn the challenges to watch out for and the patterns for success in developing and deploying AI systems, including what data can be leveraged, process automation, moving to a DevOps automation approach, effective experimentation, and scaling.
Ron Bodkin is a technical director on the applied artificial intelligence team at Google, where he provides leadership for AI success for customers in Google’s Cloud CTO office. Ron engages deeply with Global F500 enterprises to unlock strategic value with AI, acts as executive sponsor with Google product and engineering to deliver value from AI solutions, and leads strategic initiatives working with customers and partners. Previously, Ron was the founding CEO of Think Big Analytics, a company that provides end-to-end support for enterprise big data, including data science, data engineering, advisory, and managed services and frameworks such as Kylo for enterprise data lakes. When Think Big was acquired by Teradata, Ron led global growth, the development of the Kylo open source data lake framework, and the company’s expansion to architecture consulting; he also created Teradata’s artificial intelligence incubator.
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