// Abstract
As builders, engineers, and creators, we are often thinking about starting the full life-cycle of a machine learning or AI project from gathering data, cleaning the data, and training and evaluating a model. But what about the experiential qualities of an AI product that we want our user to be able to experience on the front end? Join me to learn about the foundational questions I ask myself and my team while building products that incorporate LLMs.
// Bio
With over 7 years of experience in the data science and machine learning fields, Annie is a compassionate translator of the digital realm. She has applied her skills in data analysis, data engineering, and machine learning to build solutions that support military service members, educators, students, and environmental causes. She has helped companies like Northrop Grumman, Capital One, and Bainbridge deliver innovative and impactful AI and data science solutions that drive value and enhance customer experience. Her mission is to make data science and artificial intelligence an approachable topic, creating a community of individuals eager to explore and harness the power of data science and AI responsibly.
A big thank you to our Premium Sponsors, @Databricks and @baseten for their generous support!
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Негізгі бет Ғылым және технология Productionizing AI: How to Think From the End // Annie Condon // AI in Production Conference
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