Data Science at Home cover art
ActiveTechnologyBE

Data Science at Home

A solo-hosted podcast breaking down complex AI concepts and their strategic, real-world implications, with a critical eye on policy and hype.

The brief

This is a monologue-driven show where the host, an experienced AI architect, presents a strong thesis on the strategic side of artificial intelligence. Episodes often critique industry narratives and policy, arguing for a deeper understanding of systems beyond the code. It focuses less on the 'how-to' of building models and more on the 'so what' of their deployment, covering topics like 'inference sovereignty' and the epistemological reasons for AI project failures.

Unlike interview-based or tutorial podcasts, this show's strength is its short, dense, and highly opinionated solo format. Its focus on the strategic and infrastructural weaknesses in AI deployment, particularly within Europe, offers a unique and critical perspective that stands apart from more hype-focused content.
— What makes it distinctive
§1 · The host

Who hosts this show

Data Science at Home is hosted by Dr. Francesco Gadaleta, the founder of Amethix Technologies, an AI and robotics solutions company. With over 20 years of experience in building production-grade intelligent systems, he uses the podcast to dissect AI topics for a technical audience. The show is a product of his company, Amethix, and often explores concepts through short, focused monologues.

AI-extracted bio · help us verify· Source: gemini-video-grounded

Credentials & credits

  • Ph.D.
  • Founder & Chief Engineer at Amethix Technologies
  • Senior software engineer & AI systems architect
  • Former Chief Data Officer at Abe AI
  • Former member of Advanced Analytics Team at Johnson & Johnson

Other ventures

  • Amethix Technologies
§2 · Classification

What kind of podcast

Country
BE
Region
europe
§3 · Cadence & catalog

When new episodes drop

Publishing rate
~1.8/week
Not shown by Apple / Spotify
Total episodes
77
Last episode
16 days ago
Jun 15, 2026
Status
Active
§3b · Editor's picks

Notable episodes

AI-extracted picks + commentary · help us verify
  1. 01
    Europe has sovereign AI policy. It has no sovereign AI.

    This episode is a perfect example of the show's core thesis: critiquing policy and focusing on the underlying infrastructure. It argues that Europe's focus on regulation misses the point of controlling the hardware where AI runs.

  2. 02
    The organizations that got AI wrong paid for it. Here is what they missed

    This episode showcases the host's framework of analyzing AI failures not as technical problems, but as 'epistemological' ones, using major real-world examples like IBM Watson for Oncology to illustrate his point.

  3. 03
    This is how agents lie online

    Demonstrates the show's ability to use complex systems models from other fields (like the 'naming game') to explain modern AI-related phenomena like misinformation, providing a unique analytical lens.

§4 · Signature

What you'll be asked on this show

AI-extracted from recent episodes · help us verify
How the host interviews

The podcast consists of short, solo-hosted monologues, typically 10-15 minutes long. The host, Francesco, presents a clear, often contrarian, argument and supports it with real-world case studies or complex systems models. The tone is authoritative and educational, aiming to cut through industry hype.

Questions the host keeps coming back to

  • On what cases was this model trained?
  • What does fraud mean in the training labels and who labeled it?
  • Under what conditions does this system fail?
  • What does failure look like?
  • What are smart actors doing already?
  • What does inference sovereignty actually mean?

Signature segments

  • · I'm Francesco and this is Data Science at Home podcast.
  • · Welcome back to another episode of Data Science at Home podcast.
  • · Find all the links on the official website datascienceathome.com.

Topics covered repeatedly

AI project failure analysisMisinformation and consensus dynamicsAI sovereignty and infrastructureComplex systems scienceThe gap between AI demos and realityEU AI Act and regulationAgent-based modelingStatistical drift and distribution shiftHigh-stakes AI deploymentsAdversarial testing and red teaming
§5 · Guests

Who gets booked here

AI-extracted guest list + profile · help us verify
Typical guest

The show is primarily a solo-hosted monologue format and does not feature recurring interview guests.

§6 · Channels & links

Where to find this show

§7 · Stats

Audience & reach

YouTube · first-party
Subscribers
7K
7,040
Avg views / video
840
Trailing window
Total views
90.8K
90,770
Videos published
77
Sponsor readEstimated

The podcast is consistently sponsored by the host's own company, Amethix Technologies, suggesting it serves as a primary thought leadership and content marketing channel for his AI consulting and solutions business.

AI-extracted sponsor read · help us verify

Subscriber and view counts are pulled live from YouTube and re-verified on a 30-day cycle. Listener estimates for the RSS feed aren't published here unless they're host-verified.

§8 · Contact

Pitch this show

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Host / booking email
h•••@•••.com
Public channels

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§9b · FAQ

People also ask

AI-extracted researched answers · help us verify
Who is the host of the podcast?
The host is Dr. Francesco Gadaleta, an AI systems architect and the founder of Amethix Technologies.
What is the format of the show?
It's a solo-hosted podcast featuring short (10-15 minute) monologues on specific topics in AI and machine learning.
Is the podcast still active?
Yes, the podcast releases new episodes on a weekly basis.
Where can I listen to the podcast?
The podcast is available on its official website, datascienceathome.com, as well as on YouTube, Apple Podcasts, and Spotify.
Does the show have guests?
While the website mentions interviews, the recent format is consistently a solo monologue by the host without guests.
Last updatedJun 29, 2026Not yet host-verified
Research depthDeep dossierHigh confidence · Jun 29, 2026 · gemini-2.5-pro

Built from the show's public RSS feed, YouTube, the host's own websites, and the cited sources below. Computed and AI-extracted fields are labelled. Facts only — no private info, no fabrication, no transcripts republished.

§9c · Methodology

Sources & how this page was built

This page is AI-assisted, grounded in the public sources cited below, and host-verifiable. We publish facts only; we do not republish transcripts. If anything here is wrong, the host can claim and correct the page above.Model: gemini-2.5-pro · high confidence

  1. [01]About Us - Data Science at Home Podcastdatascienceathome.com
  2. [02]Data Science at Home - Apple Podcastspodcasts.apple.com
  3. [03]17 Data Science Podcasts to Listen to in 2026 - Courseracoursera.org
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