『Making Data Simple』のカバーアート

Making Data Simple

Making Data Simple

著者： IBM Big Data & Analytics Hub
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概要

Hosted by Al Martin, WW VP of Technical Sales at IBM, Making Data Simple cuts through the hype to reveal how data and AI reshape the modern enterprise.


Thought leaders, researchers, and innovators share firsthand lessons on leading teams, scaling analytics, and driving real-world impact—delivered in Al’s signature straightforward, witty style.


Tune in to Making Data Simple today. From data and AI breakthroughs to leadership hacks, top experts drop actionable gems that help businesses thrive in a data-driven world. #MakingDataSimple #AI #Leadership

© 2026 Making Data Simple マネジメント・リーダーシップ リーダーシップ 経済学
エピソード
  • This Episode is Deep into the Tech! From Graph DB Fundamentals to Grid Security: Engineering the Next-Gen Infrastructure

    This Episode is Deep into the Tech! From Graph DB Fundamentals to Grid Security: Engineering the Next-Gen Infrastructure
    2026/02/04

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    Prasad Calyam, Curators’ Distinguished Professor and Center Director at the University of Missouri, joins the show to explore how knowledge graphs, modern data platforms, and AI are reshaping power grids and cybersecurity. He breaks down graph database fundamentals, real-world research projects, and how industry can tap into cutting-edge university work—all in language that engineers, data folks, and developers can put to use.

    Timestamps

    • 01:30 Meet Prasad Calyam
    • 02:57 Why Higher Education?
    • 05:22 Data Analytics
    • 06:59 The Modern Power Grid
    • 09:40 Graph DB Fundamentals
    • 12:21 Cybersecurity via Graphs and RAG
    • 13:45 Research Projects
    • 14:38 Industry Leveraging University Research
    • 16:07 Advice for Students
    • 17:16 What's Fun for Professors

    Links
    LinkedIn: linkedin.com/in/prasadcalyam
    Website: http://www.missouri.edu



    #KnowledgeGraphs #GraphDatabase #RAG #Cybersecurity #PowerGrid #DataEngineering #AI #MLOps #TechPodcast #Developers #ResearchToProduction #UniversityResearch

    Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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    20 分
  • From Sovereign AI to Social Impact: The Big Shifts You Need to Watch with IBM VP and CTO of IBM Canada, Manav Gupta

    From Sovereign AI to Social Impact: The Big Shifts You Need to Watch with IBM VP and CTO of IBM Canada, Manav Gupta
    2026/01/28

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    Manav Gupta, Vice President & CTO at IBM Canada, returns to the podcast to unpack the fast-changing landscape of artificial intelligence. From keeping a technical edge to navigating the rise of sovereign AI, Manav shares insights on how emerging trends are shaping both industry and society.

    Timestamps

    • 01:25 – Manav Gupta is back!
    • 02:39 – Maintaining your technical edge
    • 04:38 – Ship AI
    • 05:58 – The state of AI
    • 19:37 – Reason for concern?
    • 30:35 – Does the U.S. lead the race?
    • 41:30 – LLMs or SLMs?
    • 44:22 – Sovereign AI
    • 46:05 – The social impact

    Previous episode: How to Choose, Use, and Trust AI Models with Manav Gupta
    Connect with Manav on LinkedIn: linkedin.com/in/mgupta76

    #SovereignAI #AISocialImpact #AITrends #FutureOfAI #EthicalAI #AIPodcast #TechPodcast #SpotifyPodcast #ApplePodcasts #TechLeaders.

    Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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    49 分
  • Say What!? Bad ideas are the key to to better innovation? Dive in for this contrarian take and more on AI for organizational intelligence with Phanish Puranam, Professor of Strategy and Organizational Design {Replay}

    Say What!? Bad ideas are the key to to better innovation? Dive in for this contrarian take and more on AI for organizational intelligence with Phanish Puranam, Professor of Strategy and Organizational Design {Replay}
    2026/01/21

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    This was a fantastic 2 part series on how to design intelligent organizations. Check it out!

    Part 1 of 2

    How do we make organizations not just run — but run intelligently?

    In this episode of Making Data Simple, we welcome Phanish Puranam, Professor of Strategy and Organizational Design at INSEAD, to explore the intersection of AI, organizational science, and intelligent design. From tools and teammates to blockchain and the metaverse, Phanish walks us through the evolving relationship between humans, algorithms, and the systems we build.

    We dive into real-world use cases, research-backed insights, and surprising pitfalls — plus a contrarian take on why bad ideas might be the key to better innovation.

    ⏱️ Chapters

    • 01:50 – Meet Phanish Puranam
    • 03:36 – Organizational Design
    • 08:39 – Where is Org Design Today
    • 12:41 – A Research Example
    • 15:59 – Technologies as Tools & Teammates
    • 17:54 – A Real Use Case Example
    • 20:30 – The Metaverse, Eliminate Bad Ideas Fast
    • 21:28 – Pitfalls
    • 23:30 – Use Case Deep Dive
    • 30:06 – The Power Structure

    🔗 Connect with Phanish Puranam

    • LinkedIn: linkedin.com/in/phanishpuranam
    • INSEAD Profile: insead.edu/faculty/phanish-puranam

    #OrganizationalDesign #ArtificialIntelligence #PhanishPuranam #FutureOfWork #AIinBusiness #AlgorithmicOrganizations #Leadership #INSEAD #MakingDataSimple #AIandWork #BusinessStrategy #DigitalTransformation #OrgDesign


    Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

    続きを読む 一部表示
    32 分
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