Machine Learning in the Middle

This SkillsCast is currently only available to registered attendees of YOW! Data 2022

It will be freely available to all Skills Matter members once the YOW! Data 2022 early-access window expires on September 01, 2022.

The landscape of applied machine learning (ML) is becoming polarised. At one end are giants, complete with hundreds of people and GPUs (or TPUs) building impressive systems at scale. On the opposite end are startups, less burdened by the complexity of integrating with an existing product or the economics of turning a profit. But in the middle, established and growth companies using ML to create exceptional customer experiences walk a delicate tightrope. To succeed, they must engineer enough to match their existing products' scale and research algorithms that deliver a product experience not easily copied — all without breaking the bank.This talk explores the unique challenges of delivering impactful ML products in companies that are neither giants nor startups. We'll examine the economic constraints on innovation, how engineering choices shape the success of an ML product, and how to approach researching applied ML in new domains.