Artificial intelligence has been the hottest topic of the business world the last few years. Every week there’s a new model, new vibe-coded apps, and seemingly limitless value. But in large enterprises, AI is still in its infancy. Most projects fail, and many companies are still trying to figure out how best to use the capabilities LLMs and other Machine Learning models provide. At Snorkel, we’ve delivered AI solutions for our Fortune 500 customers across industries in banking, telecommunications, healthcare, technology, and more. In this session, we’ll explore how we delivered real-world use cases of AI through the lens of what we believe is the most important part of AI systems: the data. You’ll take away lessons on how to get AI projects to production through building high-quality datasets, targeted evaluations, and making the most of humans in the loop.
Frank Phillips is an Applied AI Engineer at Snorkel AI. Before that, he spent 6 years at Lockheed Martin in the Lockheed Martin Artificial Intelligence Center and worked as a data scientist on the F-35 program before that. He attained his Masters in Applied Statistics from the University of Alabama, Manderson School of Business and was a Graduate Research Assistant at the Institute of Data Analytics under Dr. Jason Parton. Before that, he graduated from Vanderbilt with a degree in Chemical Engineering.
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