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Data Science at Home

Francesco Gadaleta

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

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  • 23 episodes
  • Avg 31 min
  • English

Episodes 23

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  • #299
    Dec 22, 2025 · 33 min

    When Data Stops Being Code and Starts Being Conversation (Ep. 297)

    Mark Brocato built Mockaroo—the tool that taught millions of developers how to fake data. Now, as Head of Engineering at Tonic.ai, he's building the AI agent that's making his own creation obsolete. In this episode, we explore why static test data can't survive the AI era, what it means to "negotiate" datasets with an agent instead of scripting them, and whether we're heading toward a future where sandbox environments vanish entirely. From the hidden failures of legacy mocks to the security implications of agent-driven synthesis, Mark reveals what happens when data generation becomes a conversation—not a pipeline. Sponsors Tonic.ai Synthetic data solutions for software and AI development. Accelerate engineering velocity and ensure compliance with AI-powered data synthesis This episode is brought to you by Statistical Horizons At Statistical Horizons, you can stay ahead with expert-led livestream seminars that make data analytics and AI methods practical and accessible. Join thousands of researchers and professionals who’ve advanced their careers with Statistical Horizons. Get $200 off any seminar with code DATA25 at https://statisticalhorizons.com

  • #297
    Nov 25, 2025 · 31 min

    Your AI Strategy is Burning Money: Here's How to Fix It (Ep.295)

    Most companies don't have an AI problem. They have a decision-making problem. Matt Lea, founder of Schematical and CloudWarGames, has spent nearly 20 years helping tech leaders ship smarter. In this conversation, he breaks down when AI actually makes sense, where AWS costs spiral out of control, and why your "cool demo" keeps dying before launch. If you're tired of AI hype and ready for straight answers, hit play. Join the conversation! Our Discord community is full of ML engineers, researchers, and AI enthusiasts discussing papers, sharing projects, and helping each other level up. Whether you're debugging your first neural net or training your tenth transformer, there's a place for you. Newsletter https://datascienceathome.substack.com/subscribe Website https://datascienceathome.com References http://schematical.com https://cloudwargames.com https://schematical.com/posts/we-need-ai_20241028

  • #296
    Nov 11, 2025 · 46 min

    From Tokens to Vectors: The Efficiency Hack That Could Save AI (Ep. 294)

    LLMs generate text painfully slow, one low-info token at a time. Researchers just figured out how to compress 4 tokens into smart vectors & cut costs by 44%—with full code & proofs! Meanwhile OpenAI drops product ads, not papers. We explore CALM & why open science matters. 🔥📊 Sponsors This episode is brought to you by Statistical Horizons At Statistical Horizons, you can stay ahead with expert-led livestream seminars that make data analytics and AI methods practical and accessible. Join thousands of researchers and professionals who’ve advanced their careers with Statistical Horizons. Get $200 off any seminar with code DATA25 at https://statisticalhorizons.com

Showing 21–23 of 23 episodes