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The Enterprise AI Show

AI’s Netflix Moment: What Early Cloud Teaches Us About the Next Phase

AI 요약 The enterprise AI market is transitioning from a phase of "token maxing" and speculative hype toward a rigorous demand for measurable ROI. A significant divide separates individuals who have leveraged AI to solve previously impossible tasks—experiencing it as a genuine…

  • Token maxing
  • ROI (Return on Investment)
  • Shadow IT

22 minEnglish요약 · 스크립트

The AI in Business Podcast

What Leaders Should Scope Before Investing in an AI Model - with Melissa Ramey of Salesforce

AI 요약 Selecting the right AI model requires aligning technical capabilities with specific business tasks rather than defaulting to the most expensive or complex options. Melissa Ramey, Director of AI Transformation at Salesforce, emphasizes that high-end models often overthink simple…

  • Stradivarius
  • Agentic models
  • LLM (Large Language Model)

23:23English요약 · 스크립트

The AI in Business Podcast

How to Choose a Compute Platform Your Products Won't Outgrow - with Kyle Larson of IDEMIA

AI 요약 The integration of hardware and software development is essential for modern connected devices, as siloed approaches lead to inefficiencies and increased costs for the end customer. Kyle Larson, VP of AI enablement and cloud services at IDEMIA, emphasizes that teams must move…

  • IDEMIA
  • AWS (Amazon Web Services)
  • Edge Computing

20:53English요약 · 스크립트

Global News Podcast

US airspace reopens after flights grounded for several hours

AI 요약 US airspace recently faced a rare nationwide ground stop due to an overloaded air traffic control system, highlighting the urgent need for a $50 billion infrastructure overhaul. Meanwhile, internal tensions within the Trump administration have surfaced regarding the failure to…

  • Nvidia
  • Microsoft 365
  • Eurovision Asia Song Contest

28 minEnglish요약 · 스크립트

The Analytics Power Hour

#308: AI Changes Everything! Analytical Fundamentals Still Apply!

AI 요약 AI integration in analytics roles necessitates a shift from manual coding to managing and validating AI-generated outputs. Daniela Matinho, a marketing science senior strategist at LinkedIn, emphasizes that while AI agents enhance efficiency by automating repetitive tasks, they…

  • AI (Artificial Intelligence)
  • Marketing Science
  • SQL (Structured Query Language)

01:01:13English요약 · 스크립트

Data Engineering Podcast

Why Metadata Still Matters: From Data Catalogs to AI-Ready Semantic Hubs

AI 요약 Metadata management has evolved from simple cataloging into a critical foundation for modern data engineering and AI-driven decision-making. Christian Bremeau and Simon Dynin, leaders at Meta Integration Technology, emphasize the necessity of vendor-neutral, comprehensive…

  • MetaKarta
  • Metadata
  • Data Lineage

1 h 25 minEnglish요약 · 스크립트

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