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Machine Learning & Momentum – Week 2 at Berkeley episode artwork

EPISODE · May 6, 2025 · 11 MIN

Machine Learning & Momentum – Week 2 at Berkeley

from Broadcast Media: The Inside Track · host Ancast Podcast

In Week 2 of his Berkeley ExecEd course, Ben explores machine learning fundamentals, business analytics, and the growing role of AI tools. Joined by co-host HAIley, they discuss descriptive, predictive, and prescriptive modeling, AI agents and workflows, and how this week’s learning is shaping Ben’s capstone direction. Plus, a real-world breakdown of Sky’s AdSmart platform as a standout example of prescriptive analytics in broadcasting.

What this episode covers

In Week 2 of his Berkeley ExecEd course, Ben explores machine learning fundamentals, business analytics, and the growing role of AI tools. Joined by co-host HAIley, they discuss descriptive, predictive, and prescriptive modeling, AI agents and workflows, and how this week’s learning is shaping Ben’s capstone direction. Plus, a real-world breakdown of Sky’s AdSmart platform as a standout example of prescriptive analytics in broadcasting.

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Machine Learning & Momentum – Week 2 at Berkeley

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How long is this episode of Broadcast Media: The Inside Track?

This episode is 11 minutes long.

When was this Broadcast Media: The Inside Track episode published?

This episode was published on May 6, 2025.

What is this episode about?

In Week 2 of his Berkeley ExecEd course, Ben explores machine learning fundamentals, business analytics, and the growing role of AI tools. Joined by co-host HAIley, they discuss descriptive, predictive, and prescriptive modeling, AI agents and...

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