Data Science at Home
Francesco GadaletaCutting through AI bullsh*t.Come join the discussion on Discord! discord.gg/4UNKGf3
| Publishes | Twice monthly | Episodes | 316 | Founded | 11 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyNewsTech News | |||
Listen to this Podcast
Latest Episodes
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.
Buy me a coffee ko-fi.com/datascience
Discord Channel: discord.gg/... more
What is "wrong" with the EU AI Act? Watch the full episode and get in touch.
Buy me a coffee ko-fi.com/datascience
Discord Channel: discord.gg/4UNKGf3
✨ Connect with us! Personal newsletter:
📩 New... more
AI takes over (kinda). Regulators look for a new job. Watch the full episode and get in touch.
Buy me a coffee ko-fi.com/datascience
Discord Channel: discord.gg/4UNKGf3
✨ Connect with us! Personal newsletter:
defragzone.su... more
AI is technically extraordinary and economically precarious. OpenAI spent $1.35 for every dollar it earned in 2025. Global data center investment now surpasses global oil supply spending. We have built something genuinely remarkable and we do not yet... more
Key Facts
Similar Podcasts
People also subscribe to these shows.
Recent Guests
Hosts
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 States7 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 States3 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
Listeners Say
Key themes from listener reviews, highlighting what works and what could be improved about the show.
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #158 |  South Africa/Technology |
Apple Podcasts | #246 |  Chile/Technology |
Talking Points
Recent interactions between the hosts and their guests.
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
Frequently Asked Questions About Data Science at Home
What is Data Science at Home about and what kind of topics does it cover?
This show consistently navigates the practical and policy-laden facets of artificial intelligence and data science, with a sharp eye on real-world implications for developers, enterprises, and policymakers. Episodes frequently dissect regulatory regimes (notably the EU AI Act), economic constraints of deploying AI at scale, and the tradeoffs between innovation, governance, and transparency. A recurring strength is pairing technical depth with accessible explanations, including detailed cost analyses for AI in gaming, on-device inference vs. cloud models, and strategies to mitigate data leakage in AI-enabled workflows. The format also leans into timely provocations—so listeners get thoughtful takes on sovereignty, democracy, and how AI tools... more
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?
Rephonic provides a full set of podcast information for four million podcasts, including the number of listeners. View further listenership figures for Data Science at Home, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
What are the audience demographics for Data Science at Home?
Rephonic provides comprehensive predictive audience data for Data Science at Home, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
How many subscribers and views does Data Science at Home have?
To see how many followers or subscribers Data Science at Home has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
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. Data Skeptic
4. StarTalk Radio
5. 大人的Small Talk
How many episodes of Data Science at Home are there?
Data Science at Home launched 11 years ago and published 316 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?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for Data Science at Home?
Rephonic pulls ratings and reviews for Data Science at Home from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for Data Science at Home?
Rephonic provides full transcripts for episodes of Data Science at Home. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
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.