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Podcast Season 3

Putting Data Science Into Everyone’s Hands with Amanda Kelly of Streamlit

Data science and machine learning developments can’t have an impact if they don’t get into everyone’s hands.

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Podcast Season 3

Democratizing Data Infrastructure for ML with Melisa Tokmak of Scale AI

Data is the most important component of AI implementation, but most companies neglect data infrastructure and focus too much on the ML models

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Podcast Season 3

Focusing MLOps on the Data Scientist with Adam Probst of ZenML

Many data scientists and ML engineers have faced the challenge of putting AI models into production, and this is the core of MLOps

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Podcast Season 3

The Invisible Workers Behind the AI Algorithms with Alexandrine Royer

AI is spreading around the world, both in terms of technology and workforces.

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Podcast Season 3

The Trillion-Parameter ML Model with Cerebras Systems

Demand for AI compute is growing faster than conventional systems architecture can match, so companies like Cerebras Systems are building massive special-purpose processing units.

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Podcast Season 3

Fighting Nightmare Bacteria Using AI with Sriram Chandrasekaran

It is sometimes hard to see how AI technology benefits society, but applications like drug discovery really bring the power home

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Podcast Season 3

The Philosophical and Religious Aspects of AI

In this episode, we consider the moral and ethical dimensions of artificial intelligence.

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Podcast Season 3

How AI and ML are used in Network Management with Tom Hollingsworth of Gestalt IT

Local and wide-area networks can get complex very quickly, so it’s no surprise that AI-powered network management is making a huge impact in the enterprise

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Podcast Season 3

Platform Considerations For Deploying AI At Scale with Tony Paikeday of NVIDIA

Enterprises are working to simplify the process of deploying and managing systems to support AI applications

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Podcast Season 3

Using AI to Assess Risk with Mike O’Malley of SenecaGlobal

Machine learning excels at finding needles in haystacks, even unexpected ones, and this helps organizations to assess risks