『The So What from BCG』のカバーアート

The So What from BCG

The So What from BCG

著者: Boston Consulting Group BCG
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This podcast from Boston Consulting Group looks around the corner of today’s big business and social issues. The goal–the so what–is to make sense of today and prepare busy leaders and executives for the day after tomorrow. Award-winning British journalist Georgie Frost interviews the leading thinkers and doers at BCG on the trends, developments, and ideas that will shape and disrupt the future. This is not your typical business strategy podcast. This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrpCopyright 2024 Boston Consulting Group BCG マネジメント マネジメント・リーダーシップ 経済学
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  • Retailers Are Drowning in Data. Is AI a Life Preserver?
    2026/07/29

    Nick Goad, BCG's global co-leader for retail merchandising, argues that retail's biggest problem isn't a lack of data, it's the gap between data and real customer understanding. He explains how AI and large language models are finally bridging that divide, making it possible to localize assortment, sharpen pricing, and accelerate product innovation at scale. For leaders wondering where to start, he makes the case for codifying the knowledge already in merchants' heads.

    What You’ll Learn:

    • Retailers have more data than ever, but AI finally gives them the tools to turn it into action merchants can actually trust.
    • The biggest near-term opportunities are in assortment localization, smarter pricing, and AI-accelerated product innovation.
    • The new data advantage for retailers isn't raw data — it's codifying the knowledge already in their merchants' heads.

    Learn More:

    • BCG’s Latest Thinking on the Retail Industry: https://on.bcg.com/4bYoe8x
    • Merch AI by BCGX: https://on.bcg.com/3RxTfJF

    Chapters

    (0:00) Has Retail Lost Its Personal Touch?

    (1:13) Serving Customers Before the Digital Age

    (2:33) The Internet’s Impact on Retail

    (3:11) Does More Data Mean Better Customer Understanding?

    (4:12) Why Are Retailers Drowning in Complexity?

    (5:32) What Can AI Do to Help Retailers?

    (7:02) Will AI Create a New Data Overload?

    (7:54) What Are Retail Leaders Hopes and Fears for AI?

    (9:02) Will AI Get Products to the Shelf Faster?

    (9:57) Will AI Influence Product Design?

    (10:37) Can AI Create More Personalized Loyalty Programs?

    (11:34) How Will AI Shape the Shopping Experience?

    (12:02) Is Physical Retail Here to Stay?

    (13:36) Will AI Make All Our Shopping Decisions for Us?

    (14:23) Where Can Retailers Make the Biggest Changes?

    (15:00) Where Should Retailers Apply AI First?

    (15:48) What New Data Advantage Can AI Create?

    Meet the Expert:

    Nick Goad, BCG Managing Director & Senior Partner: https://on.bcg.com/4wuIlU0

    Listen to Other Episodes of The So What from BCG podcast

    Punch Cards, Frequent Flyers, and the Future of Loyalty: https://lnk.to/so-what-BCG-Crouch-Loyalty09

    YouTube | https://youtube.com/playlist?list=PLMJgyXjV5gMI9JV-GcF_D1Y6zyf1Eab_0&si=plXqe7-YNzbG56U8

    Apple | https://podcasts.apple.com/us/podcast/the-so-what-from-bcg/id1591194141

    Spotify | https://open.spotify.com/show/2NSVR7qrAyZ4CaGsnknbBk?si=1d846c2af8784923

    Other platforms | https://lnk.to/so-what-general-show12

    Follow BCG

    https://www.bcg.com/

    LinkedIn | https://www.linkedin.com/company/boston-consulting-group



    This podcast uses the following third-party services for analysis:

    Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp
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    17 分
  • LLM or MD: Who Owns the Patient Journey?
    2026/07/15

    Ben Keneally, BCG’s Asia Pacific health care services leader, explains why AI is now many patients’ first stop — often before they see a doctor. He argues that pairing AI with personal health records improves outcomes and equity, and that health leaders, not LLMs, must shape how this shift unfolds.

    You’ll Learn:

    Why AI is becoming the default first step in care, especially in markets with limited access to clinicians

    How pairing AI with personal health records improves treatment compliance and catches errors earlier

    Why driving AI into end-to-end care pathways takes leadership, not just frontline experimentation

    Learn More:

    BCG’s Latest Thinking on the Health Care Industry: https://on.bcg.com/4w2MmPt

    Consumers Are Ready for AI-Enabled Health Care. Health Systems Need to Be, Too.: https://on.bcg.com/4vo2ZDX

    Chapters

    (0:00) The Biggest Health Care Shift in Centuries

    (1:47) How Is AI Being Used in Health Care Today?

    (2:23) Where Is AI Adoption Highest, and What Does That Tell Us?

    (3:29) Does AI Create a Two-Tier Health System?

    (4:55) What's Next for AI Agents?

    (6:51) Where Are the Biggest Opportunities: Diagnosis, Navigation, or Appointments?

    (8:13) The Health Care System AI Could Build

    (9:56) Does Your Health System Need Its Own AI?

    (11:36) The Danger of Inaccurate Health Advice

    (12:53) What Role Does Trust Play?

    (13:52) How Are Health Care Organizations Shaping This Shift Today?

    (14:47) AI Alone Won't Transform Health Care

    (15:49) Who Is Responsible When AI Gets Health Care Wrong?

    (17:22) Who Owns the Patient Relationship?

    (18:29) Is the Shift to AI in Health Care Inevitable?

    (19:49) Is It AI Plus Clinicians or AI Replacing Clinicians?

    Meet the Expert

    Ben Keneally, BCG Managing Director & Partner: https://on.bcg.com/4woTTbc

    Listen to Other Episodes of The So What from BCG podcast

    YouTube | https://youtube.com/playlist?list=PLMJgyXjV5gMI9JV-GcF_D1Y6zyf1Eab_0&si=plXqe7-YNzbG56U8

    Apple | https://podcasts.apple.com/us/podcast/the-so-what-from-bcg/id1591194141

    Spotify | https://open.spotify.com/show/2NSVR7qrAyZ4CaGsnknbBk?si=1d846c2af8784923

    Other platforms | https://lnk.to/so-what-general-show12

    Follow BCG

    https://www.bcg.com/

    LinkedIn | https://www.linkedin.com/company/boston-consulting-group



    This podcast uses the following third-party services for analysis:

    Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp
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    21 分
  • AI Is Ready for Government. Is Government Ready?
    2026/07/01

    Governments are racing to deploy AI. Most have the foundations, but struggle to translate them into faster, smarter execution without losing public trust. BCG's Miguel Carrasco and Daniel Selikowitz break down what separates the countries getting this right from those still stuck — and what every leader can take from their example.

    You’ll Learn:

    Why AI governance frameworks are quietly becoming the biggest barrier to AI deployment

    How to tell the difference between necessary caution and unnecessary bureaucracy

    How and why some countries are already getting AI governance right

    Learn More:

    Trust Imperative 5.0: https://on.bcg.com/3QO3fOm

    BCG’s Latest Thinking in Public Sector: https://on.bcg.com/4f69kis

    Meet the Experts

    Miguel Carrasco, BCG Managing Director & Senior Partner: https://on.bcg.com/4gGH8Uz

    Daniel Selikowitz, Managing Director & Partner: https://on.bcg.com/4oMRKTY

    Watch The So What from BCG on YouTube: https://www.youtube.com/playlist?list=PLMJgyXjV5gMI9JV-GcF_D1Y6zyf1Eab_0

    Chapters

    (0:00) AI Is Already in Government. Here's Where You'll Find It.

    (3:12) Public vs. Private: Why the Stakes Are Different

    (4:40) What Leaders Are Saying Across Industries

    (6:15) What Role Does Fear Play in AI Adoption?

    (8:14) Inside Governments Deploying AI

    (9:55) How Are Governments Governing AI?

    (11:56) How Do Countries Compare on AI Adoption?

    (13:37) Useful Caution Vs. Unnecessary Bureaucracy in AI Implementation

    (15:42) Who Is Keeping Pace with AI Innovation?

    (16:46) What Private Sector Leaders Can Learn from Governments

    (19:34) What Should Leaders Do Now?



    This podcast uses the following third-party services for analysis:

    Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp
    続きを読む 一部表示
    22 分
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