『Bringing Data and AI to Life』のカバーアート

Bringing Data and AI to Life

Bringing Data and AI to Life

著者： Informatica
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This is Bringing Data and AI to Life: the podcast you want to listen to for practical advice and insights into the latest innovations in data management and AI. You’ll learn how to realize transformative business outcomes by managing data to become a living and trusted asset, fueling your AI and data-driven initiatives. We aim to bring data clarity to the chaos and complexity surrounding Data and AI, speaking to industry experts and addressing head-on the many challenges of data management and AI. The world is rapidly changing in this new era. Your AI is only as good as your data. This is the place where you can make sense of it all.© 2024 Informatica. All rights reserved. 政治・政府
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  • Why Most AI Strategies Fail Before They Even Start ft. Zoher Karu

    Why Most AI Strategies Fail Before They Even Start ft. Zoher Karu
    2026/10/08
    AI is everywhere but many organizations are still getting it wrong. In this special Greatest Hits episode of Bringing Data and AI to Life, hosts Amy Horowitz and Nick Dobbins sit down with Zoher, a seasoned data and AI leader, to unpack why AI is the business accelerator today. From messy data foundations to misguided “AI-first” thinking, Zoher breaks down why companies rush into AI without clarity on the problem they’re solving, and how that leads to wasted effort and poor outcomes. He emphasises thinking backwards from the business problem, not forward from the technology.
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    24 分
  • Why AI Is Never Really Done ft. Maria Vechtomova

    Why AI Is Never Really Done ft. Maria Vechtomova
    2026/09/24
    Getting your AI system into production isn’t the finish line. It’s the point where the real work begins. In this episode of Bringing Data and AI to Life, host Nick Dobbins sits down with Maria Vechtomova, Co-Founder of Cauchy, MLOps expert and O’Reilly author, to unpack what it really takes to make AI reliable beyond the experimentation phase. She breaks down the four principles underpinning MLOps as well as the challenges of evaluating GenAI outputs, governing agentic systems and integrating AI across complex enterprise environments. The conversation makes one thing clear: AI cannot be treated like static software. Because when the outputs, failure modes and evaluation criteria keep changing, the work is never really “done.”
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    22 分
  • S1E43 Why AI Leaders Must Get Their Hands Dirty ft. Allison Sagraves

    S1E43 Why AI Leaders Must Get Their Hands Dirty ft. Allison Sagraves
    2026/08/20
    There are no easy answers. Just ask your finance, marketing and operations teams what “sales” means, and you’ll see. In this episode of Bringing Data and AI to Life, host Amy Horowitz (GVP, Informatica) sits down with Allison Sagraves, Chief Data Officer and Carnegie Mellon CDAO faculty. They break down the real barrier holding enterprise AI back: agreeing on what your data actually means. Learn why taxonomy trumps simple data quality, how to close the executive AI confidence gap, and why real AI leadership demands getting into the trenches.
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    23 分
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