『The Josh Bersin Company』のカバーアート

The Josh Bersin Company

The Josh Bersin Company

著者: Josh Bersin
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Insights on Corporate Talent, Learning, AI, and HR Technology.© 2024 JOSH BERSIN 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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  • Korn Ferry Acquires AMS (Alexander Mann Solutions)
    2026/06/30

    This week Korn Ferry announced the $1.1 Billion acquisition of AMS, one of the leading providers of enterprise recruitment outsourcing. As I overview in this podcast, this deal demonstrates several things:

    First, the talent acquisition space has become enormously important and is rapidly changing with AI, demographic changes, and internal productivity initiatives. AMS has become a global leader in recruitment process outsourcing and TA advisory work, leading to the $1.1 Billion valuation. AMS’s product AMS One is one of the only tech platforms that integrates almost every recruiting technology into one operational view, enabling AMS and clients to monitor, tune, and optimize all areas of recruiting in one place.

    Second, Korn Ferry, as a leader in executive search and talent management services (including training offerings), sees enormous synergies and can add AMS’s revenue and $1.5 Billion backlog to their financial strength. While KF was not growing much, this now gives the company a new growth platform – including the opportunity to use AMS’s global service centers for other offerings.

    This podcast is an overview of the deal, we’ll publish more after we get a briefing from KF’s management team.

    Additional Information

    History of Korn Ferry Acquisitions

    The Talent Acquisition Revolution: How AI Is Transforming Recruitment

    The Josh Bersin Institute Global HR Excellence Certification (inaugural cohort starts in September)

    Understanding Agentic HR In Detail: The HR 2030 Vision and Architecture

    Chapters
    • (00:00:00) - Korn Ferry vs AMS Merger Explained
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    9 分
  • Frontier AI Vendors Chase Revenue, How Rules, Policies, and Security Drive Agent Strategy
    2026/06/28

    Today I overview why the Frontier AI vendors are changing as they compete for revenue and how that opens new doors for corporate AI solutions. Remember, your personalization of the technology is more important than the model itself.

    Then I discuss our new HR 2030 architectural research and how rules, policies, and security are so important in this new world of Agentic HR. It’s a new world and all focused on “Dynamic Enablement for Growth.”

    Additional Information

    AI As Fuel For Organizational Change: The Biggest Market Of All

    Are Frontier Models Becoming A Commodity?

    HR 2030: The Reference Blueprint for Agentic HR (sign up for info)

    HR 2030 New Course in Galileo Learn

    The Global HR Excellence Certification (GHRE)

    Get Galileo: The AI Superagent for HR

    Chapters
    • (00:00:00) - HR 2030: The AI Marketplace
    • (00:04:33) - The AI That Will Be Embedded in Your Glasses
    • (00:07:41) - HR 2030: A reference architecture for the technology
    • (00:09:37) - An Agent's role in the Company
    • (00:18:38) - The third layer of an AI agent
    • (00:21:16) - The Purpose of AI: Why Are We Here?
    • (00:23:58) - Employers' HR Vision 2030
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    25 分
  • AI-Native Learning Unleashed: Rita Azevedo, Learning Leader at Sana
    2026/06/24

    Sana Learning is a revolutionary product in the $400 Billion L&D market. Today I sat down with Rita Azevedo, Director of Client Engagement at Sana, to talk about everything. What is AI-native learning, how does Sana Learning fit into Workday’s strategy, and how do companies like Polestar, Rolls Royce, Travelers, and others revolutionize L&D with Sana.

    And most of important of all, we get Rita’s perspective on the reinvention of L&D, which we call “Dynamic Enablement for Growth.”

    As you’ll hear, AI-native learning platforms like Sana can totally transform training teams, turning them into “business enablement” functions working directly in the business. We discuss how Polestar has done this in detail.

    Rita is an experienced L&D leader (having lead training at Klarna) and has worked at Sana since the company had only 30 employees, so she has a wealth of knowledge and experience in AI transformation in L&D.

    PS: We are customers of Sana (Galileo Learn is built on Sana, and our new Global HR Excellence Certification is built on Sana), so we can speak to its features in detail if you’re interested.

    Chapters

    00:00 Introduction to the Podcast and Guest 01:44 The Revolution in Learning and Development 03:30 Sana’s Position in the Learning Market 05:53 Understanding Sana Learning’s Unique Features 07:08 The Future of Learning: Proactive vs. Reactive 09:11 Case Study: Polestar’s Learning Approach 12:47 User Experience and Integration in Learning 14:07 The Role of AI Tutors in Learning 16:07 Dynamic Skills Assessment in Learning 18:42 The Shift in L&D Responsibilities 21:35 Empowering Subject Matter Experts 24:25 Managing Content Creation and Quality 27:18 The Future of Learning and Change Management 31:02 Advice for Organizations Exploring Learning Solutions

    Additional Information

    The AI Native Revolution in Corporate Learning (research)

    Our new Corporate Learning Maturity Model

    HR 2030: The New Role, Operating Model, and Tech Stack for HR

    Get Galileo: Experience Sana Yourself!

    Chapters
    • (00:00:00) - Meet Rita Azevedo from sana
    • (00:02:16) - SANAA's Take on Learning & Development
    • (00:04:26) - Sauna Learning: Workday Learning Powered by Sauna
    • (00:06:34) - Sana Learning's AI-based Learning Platform
    • (00:10:12) - Sales Training: The Future of Learning at Sana
    • (00:13:33) - L&D 2.8: User Experience
    • (00:14:44) - L&D: The Tutor, the Editor and the Admin
    • (00:17:04) - The L&D paradigm shift
    • (00:19:22) - How Skills are Being Rated in the Future
    • (00:22:30) - L&D: The Future of Content Management
    • (00:27:56) - Learning vs. Agents: Can Microsoft Win with Both?
    • (00:30:46) - How to move legacy courses to Scrum
    • (00:31:50) - A New Way to Start with Workday's AI in 2020
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    34 分
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