DataFramed #71 Scaling Machine Learning Adoption: A Pragmatic Approach
Sep 20, 2021
In this engaging conversation with Noah Gift, founder of Pragmatic AI Labs and an expert in cloud computing, he shares insights on operationalizing machine learning within organizations. He discusses the shift from theoretical to practical applications, emphasizing hands-on experience and effective communication. Noah compares data science to Brazilian jiu-jitsu, promoting a results-oriented approach. He also dives into the importance of choosing the right cloud tools and balancing specialization with generalization for future success in the evolving landscape of data science.
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Nutritional Science Beginnings
- Noah Gift's path to data science began with nutritional science, driven by his interest in sports.
- Early experiences with data analysis, like centrifuging blood and experimenting with vitamin C, sparked his interest in data-driven insights.
Working with Dr. Koonin
- Gift worked with Dr. Koonin, author of the controversial book Unsettled, at Caltech.
- This experience exposed him to challenging conventional wisdom, a valuable trait in data science.
Pragmatic AI
- A pragmatic approach to AI involves adapting to immovable constraints and focusing on actionable solutions.
- This contrasts with a theoretical approach, which often overemphasizes research and the "why" behind problems.
