Practical AI: Machine Learning, Data Science

Practical AI: Machine Learning, Data Science

Hosted by Chris Benson and Daniel Whitenack and Dan and Chris · Daniel Whitenack and Chris Benson

4.4from 464 ratings

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79Podcast AuthorityScore out of 100 · How it is scored
381
Episodes
139
Transcribed
464
Ratings
Weekly
Cadence
2018
First episode

About Practical AI: Machine Learning, Data Science

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Publisher
Daniel Whitenack and Chris Benson
Category
technology
Language
en
Explicit
No
First episode
2 Jul 2018
Latest episode
29 Oct 2026
Apple PodcastsSpotifyWebsiteRSS feed

Latest episodes

139 of 381 episodes have a transcript.

  1. 29 Oct 2026TRANSCRIPT

    Abundant Intelligence at the Midwest AI Summit

  2. 22 Oct 2026TRANSCRIPT

    Exploit Development, Agentic Vulnerability Discovery, and Fake PoCs

  3. 15 Oct 2026TRANSCRIPT

    Education is Failing our Students in this AI-Driven World

Inside a recent episode

Abundant Intelligence at the Midwest AI Summit

Published 29 Oct 2026 · Transcript excerpt

[…] And one of the things I want to call out is when you're looking at a workflow, don't just look at the averages because averages can hide a bad result. And you need to know how bad your bad is so you can fix it. And then observability, we won't have too much time to get into today. But Jeff talked about this a bit, being able to recover and replay and catch drift before an incident. So build each step right and then safeguard every one. And what we're going to do today is show some examples of workflows across manufacturing, agriculture, and healthcare that actually worked and the lessons they learned. […]

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Who has been a guest on Practical AI: Machine Learning, Data Science

Names identified in recent episode analyses. Showing up to five guests.

  • Heidi Porter
  • Kevin Solorio
  • Chris Shinkle
  • Andrew Dunlap
  • Spencer McIntyre

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)
4.3 / 5
200 ratings
Spotify
4.6 / 5
264 ratings

Podcast Authority Score: 79 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality
100
Social presence
94
YouTube
0
Engagement
99

Contact Practical AI: Machine Learning, Data Science

Guest appearances
Books guests

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Questions about Practical AI: Machine Learning, Data Science

Who hosts Practical AI: Machine Learning, Data Science?

Chris Benson and Daniel Whitenack and Dan and Chris host the show. Published by Daniel Whitenack and Chris Benson.

How often do new episodes come out?

The show publishes weekly, based on its RSS feed.

Does Practical AI: Machine Learning, Data Science take guests?

Yes. Guests have been identified in episode analyses.

Where can I read transcripts?

139 of 381 episodes have a transcript on Pod Engine. Full transcripts are available with a Pod Engine plan.

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