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Data Science at Home

Francesco Gadaleta
Artificial Intelligence
Data Science
Video Game Development
Solar Captains
Large Language Models
Robotics
Kaggle
Gamegpt
Openai
Sqream
Blender
Aerospace Technology
Machine Learning
Generative AI
Space Applications
Cryptocurrency
Gpu-Based Big Data Processing
Low-Code Solutions
Bias In AI
AI Ethics

Cutting through AI bullsh*t.Come join the discussion on Discord! discord.gg/4UNKGf3

PublishesTwice monthlyEpisodes304Founded10 years ago
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Recent Guests

Dr. Eliseo Ferrante
Faculty at New York University, Abu Dhabi, and Ville University at Amsterdam
Episode: AGI: The Dream We Should Never Reach (Ep. 296)
Mark Brocato
Head of Engineering at Tonic AI, founder and CEO of Mockaroo
Tonic AI
Episode: When Data Stops Being Code and Starts Being Conversation (Ep. 297)
Matt Lea
Founder of schematical.com and expert in AWS AI implementation
Schematical
Episode: Your AI Strategy is Burning Money: Here's How to Fix It (Ep.295)
Fred Jordan
Co-CEO of FinalSpark, a company focused on developing bioprocessors based on living neurons
FinalSpark
Episode: The Scientists Growing Living Computers in Swiss Labs (Ep. 292)
Sanjoy Chowdhury
Researcher at the University of Maryland College Park
University of Maryland
Episode: When AI Hears Thunder But Misses the Fear (Ep. 291)
Jonas Singer
CEO and founder of Vector Group
Vector Group
Episode: Why VCs Are Funding $100M Remote Control Toys (Ep. 290)
Kenny Vaneetvelde
A seasoned developer and consultant focused on AI.
Episode: AI Agents with Atomic Agents 🚀 with Kenny Vaneetvelde (Ep. 280)
Charles Martin
AI specialist and distinguished engineer in NLP and Search, inventor of WeightWatcher AI
Episode: WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278)
Josh Miramant
CEO of Blue Orange Digital, a top-ranked data analytics and AI agency
Blue Orange Digital
Episode: Scaling Smart: AI, Data, and Building Future-Ready Enterprises with Josh Miramant (Ep. 276)

Host

Francesco Gadaleta
Host of discussions centered around artificial intelligence, data science, and technology trends, offering critical insights and engaging expert dialogues.

Reviews

4.3 out of 5 stars from 183 ratings
  • 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 Podcasts
    5
    WH90069
    United Statesa month 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 Podcasts
    1
    dynobridge
    United 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 Podcasts
    5
    Norincovey
    United States2 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 Podcasts
    5
    WilliamEnglis
    United States2 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 Podcasts
    5
    Harwillcain
    United States2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Many regard the content as up-to-date and valuable for gaining insights into AI and data science, often benefiting from the expert perspectives shared.
Some reviews point to a need for clearer explanations, indicating the content may at times be too dense for beginners.
Listeners appreciate the thorough exploration of tech topics, highlighting the informative nature of discussions and the engaging interviewing style.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#90
Chile/Technology
Apple Podcasts
#200
Taiwan/Technology
Apple Podcasts
#213
Israel/Technology

Talking Points

Recent interactions between the hosts and their guests.

Your AI Strategy is Burning Money: Here's How to Fix It (Ep.295)
Q: What's your framework for calculating whether an artificial intelligence feature has some kind of positive ROI?
Matt explains it involves looking at both upfront and ongoing investment in terms of engineering hours and infrastructure.
Your AI Strategy is Burning Money: Here's How to Fix It (Ep.295)
Q: How do you help teams figure out if they need AI or traditional methods?
Matt mentions he conducts ROI analysis to determine if tasks can be performed by humans more cost-effectively than developing a custom AI model.
Your AI Strategy is Burning Money: Here's How to Fix It (Ep.295)
Q: Where do you see the biggest misconception about AI as a silver bullet?
Matt explains that many executives think AI can solve problems without understanding the complexities involved, highlighting the importance of data and proper model training.
The Scientists Growing Living Computers in Swiss Labs (Ep. 292)
Q: How does the financing work for this particular company?
FinalSpark relies on profits from a previous company, AlpVision, to fund their projects, noting that it's challenging to secure investment from venture capitalists in deep tech.
The Scientists Growing Living Computers in Swiss Labs (Ep. 292)
Q: Can you walk us through what happens from the moment you extract neurons to when they are actually performing computation?
The training of biological processors is a significant challenge, as it's akin to the early days of artificial neural networks where experts struggled to train them effectively.

Audience Metrics

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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?

This podcast offers listeners an insightful exploration of artificial intelligence, data science, and the technology landscape by presenting a critical perspective on industry trends and innovations. Episodes feature in-depth discussions about the capabilities and limitations of AI, the intricacies of machine learning, and the evolving role of technology within various sectors. The host often engages with experts to dissect complex topics, making difficult concepts accessible to tech enthusiasts while fostering a community around the subject matter. Listeners can expect to gain not only knowledge but also a nuanced understanding of current debates in the field, from venture capital trends to practical applications of AI.

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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. Practical AI
2. The AI Daily Brief: Artificial Intelligence News and Analysis
3. The a16z Show
4. Hard Fork
5. All-In with Chamath, Jason, Sacks & Friedberg

How many episodes of Data Science at Home are there?

Data Science at Home launched 10 years ago and published 304 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Data Science at Home?

Recent guests on Data Science at Home include:

1. Dr. Eliseo Ferrante
2. Mark Brocato
3. Matt Lea
4. Fred Jordan
5. Sanjoy Chowdhury
6. Jonas Singer
7. Kenny Vaneetvelde
8. Charles Martin

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