『Techstrong Gang』のカバーアート

Techstrong Gang

Techstrong Gang

著者: Techstrong Group
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Techstrong Gang is your go-to weekday show on Techstrong TV and your favorite podcast platform, bringing together a rotating lineup of top thought leaders and technologists to break down the biggest stories and trends shaping the tech world. Hosted by industry veterans Alan Shimel, Mike Vizard, Mitchell Ashley, Jon Swartz, Lisa Martin, Tracy Ragan, Sulagna Saha, Anne Ahola Ward, Bonnie Schneider, and more, the show dives deep into everything from DevOps and cybersecurity to AI and cloud innovation. Tune in Monday through Friday for insightful discussions, expert analysis, and lively debates on the issues that matter most to today’s tech professionals.Copyright 2024 All rights reserved. 政治・政府 経済学
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  • Techstrong Gang - 12/23/2025
    2025/12/23

    Alan, Mike, Mitch, Jon, Tracy Ragan, Chris Blask, JP Morgenthal, Fred Wilmot, Jack Gold and Teri Robinson wrap up 2025 by discussing how the biggest trends in IT, cybersecurity and artificial intelligence (AI) are, for better or worse, impacting not just businesses but society as a whole.

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    1 時間
  • Techstrong Gang - 12/22/2025
    2025/12/22

    Alan, Mike, Jack Poller and Jack Gold dive into how training will need to evolve in the age of artificial intelligence (AI) following a move by Coursera to acquire Udemy and the extension of an online learning alliance between Pearson and IBM. Then the gang takes a look at an inquiry into the impact AI is having on electric bills that has been launched by three U.S. senators before discussing whether Oracle losing funding for a data center project might be one of the first signs of the AI bubble starting to pop.

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    49 分
  • Techstrong Gang - 12/19/2025
    2025/12/19

    Mike, Alan, Jon, Alastair Cooke and Gina Rosenthal dive into reports that suggest Amazon is about to make a major investment in OpenAI before trying to make sense of Microsoft's latest plans for applying artificial intelligence (AI) to application development. Then the gang delves into a report that suggests the quality of the code being generated by AI coding tools has a lot more defects than most organizations fully appreciate.

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    49 分
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