Data Science at Home
Francesco GadaletaCutting through AI bullsh*t.Come join the discussion on Discord! discord.gg/4UNKGf3
| Publishes | Twice monthly | Episodes | 312 | Founded | 10 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | NewsTech NewsTechnology | |||
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Modern propaganda isn’t random noise. It’s a repeatable, engineered algorithm that starts with ideology, weaponizes identity, and manufactures conflict. Once you see the pattern, you can’t unsee it.
What happens with AI?
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Some of the most asked questions on the channel. Here answered.
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Discord Channel: discord.gg/4UNKGf3
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Can NPCs in videogames leverage new LLM-based tech? What are the benefits? What are the costs?
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What is the state of AI and videogames? Who is considering it? What are the big fails so far? This and much more is covered in this 1st episode of AI and videogames.
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Reviews
- Is there ROI on AI?
Most tech podcasts assume AI is worth it. Francesco doesn’t. In his conversation with Eliseo Ferrante, they address whether the investment actually makes sense. The discussion is technical, skeptical, and refreshingly honest.
Apple Podcasts5WH90069
United States4 months ago - Baseless cynicism
I was hopeful because I seek out opinions that counter the hype, but all I heard were contrarian takes for the sake of being different.
Apple Podcasts1dynobridgeUnited States2 years ago - Andrea I
The recent show about databases and their impact on AI felt like unraveling a mystery. I got a full picture of the tech and the challenges in the field. Though not exhaustive, still a very good start. Will explore more!
Apple Podcasts5NorincoveyUnited States3 years ago - TheAlchemist
In the recent episode, the insights into prompt engineering were akin to unlocking a secret chamber in the world of AI. Mr Francesco seamlessly blended education and discovery, giving listeners a key to understanding the complexity of language models.
Apple Podcasts5WilliamEnglisUnited States3 years ago - A Knowledge Elevation!
Finally, a podcast that strikes the perfect balance! Easy not easy. Content always up to date and sexy. thumbs uppp!
Apple Podcasts5HarwillcainUnited States3 years ago
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Apple Podcasts | #178 |  Canada/Technology |
Apple Podcasts | #144 |  Israel/Technology |
Apple Podcasts | #228 |  Saudi Arabia/Technology |
Talking Points
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Frequently Asked Questions About Data Science at Home
What is Data Science at Home about and what kind of topics does it cover?
Covers AI, data science, and technology with a critical, practitioner-focused lens. Recent episodes center on AI safety, data generation, sovereignty in tech, and practical tooling for developers and executives navigating AI adoption. The host tends to ground ambitious concepts in cost, security, and real-world constraints, often featuring technical guests and industry leaders to unpack how AI affects data, security, and business decisions. The show is likely particularly valuable for listeners who want actionable insights, skeptical depth, and direct discussions about ROI, governance, and implementation challenges in enterprise settings.
Where can I find podcast stats for Data Science at Home?
Rephonic provides a wide range of podcast stats for Data Science at Home. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Data Science at Home and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does Data Science at Home get?
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What are the audience demographics for Data Science at Home?
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How many subscribers and views does Data Science at Home have?
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Which podcasts are similar to Data Science at Home?
These podcasts share a similar audience with Data Science at Home:
1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Practical AI
3. DataFramed
4. NVIDIA AI Podcast
5. The a16z Show
How many episodes of Data Science at Home are there?
Data Science at Home launched 10 years ago and published 312 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact Data Science at Home?
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Where can I see ratings and reviews for Data Science at Home?
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What guests have appeared on Data Science at Home?
Recent guests on Data Science at Home include:
1. Francesco Gadaleta
2. Dr. Eliseo Ferrante
3. Mark Brocato
4. Matt Lea
5. Fred Jordan
6. Sanjoy Chowdhury
7. Jonas Singer
8. Kenny Vaneetvelde
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.