『600s in HRTech by RedThread Research』のカバーアート

600s in HRTech by RedThread Research

600s in HRTech by RedThread Research

著者: Stacia Garr & Dani Johnson
無料で聴く

600 Seconds in HRTech is for HR leaders who are tired of vendor content that looks like research and want a faster, easier way to stay current.

Hosted by RedThread Research analysts, each episode features a focused conversation with a HRTech leader or product expert, asking the questions buyers actually want answered: What problem does this solve? Who isn't it right for? What did you get wrong before you got it right? What's really behind that acquisition?

Then the analyst unpacks it solo. No vendor present. You get what was genuinely useful, what was marketing, and what to push back on in your own evaluations.

600 Seconds in HRTech covers talent platforms, learning technology, people analytics tools, and more. One episode at a time, you build a clearer picture of the landscape without chasing every press release or conference session yourself.

Want to be part of the conversation? Join our community for free and connect with others shaping the future of work.

Learn more about RedThread Research here: https://redthreadresearch.com/homeRedThread Research 2026
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エピソード
  • AI, Content Quality, and the Future of Learning Delivery with OpenSesame
    2026/06/09
    How is high quality content slowly becoming the differentiator? In this episode of 600 Seconds in HR Tech, Dani Johnson sits down with Mehdi Tounsi live from the Learning Technologies Conference in London to discuss the growing shift from “AI-first” conversations toward measurable impact, contextual learning, and high-quality content experiences. The conversation explores why organizations are rethinking the role of courses, how AI is changing learning delivery, and why contextualised content may become the next major differentiator in workplace learning. As Mehdi explains, “it is not about content. It is about the quality of the content and having verifiable sources behind that content.”

    QUESTIONS ANSWERED
    Why are companies more focused on outcomes instead of features?
    Mehdi explains that AI dominated nearly every booth at Learning Technologies 2026, but the conversation is evolving. Instead of simply showcasing AI capabilities, organizations are now asking how AI can create measurable business impact.

    Will AI make learning content less valuable or more important?
    The episode explores the growing tension between content becoming ubiquitous through LLM-generated materials and the increasing importance of high-quality, contextualised learning. Organizations are becoming more interested in content tailored specifically to their culture, leadership expectations, workflows, and business environment.

    Why does OpenSesame still invest heavily in human curation?
    While many vendors are automating content curation with AI, OpenSesame continues to prioritise human expertise and customer support. Humans provide contextual judgement, relationship-building, and organisational understanding that AI alone cannot fully replicate.

    What is the difference between selling technology and delivering solutions?
    Many organizations are moving away from buying standalone technology and instead looking for partners that can solve real workforce challenges. Mehdi argues that technology without human adoption, context, and behavioural impact will not deliver meaningful outcomes.

    KEY TAKEAWAYS
    • AI is shifting from a marketing feature to a business impact conversation
    • Contextual learning may become more valuable than generic content libraries
    • The traditional “course” is losing its dominance as the default learning format
    • Organizations increasingly want learning embedded directly into workflows
    • Human curation and customer support remain important differentiators in an AI-driven market
    TIMESTAMPS
    00:00 – Introduction to OpenSesame
    00:30 – The AI refocus happening at Learning Technologies 2026
    01:42 – Why content quality matters more in the AI era
    03:38 – The future of learning delivery beyond traditional courses
    05:42 – How OpenSesame is approaching AI and pricing questions
    08:14 – Why human curation still matters in workplace learning
    09:49 – Solution vs. technology: what Organizations actually want
    10:14 – Dani’s reflections on contextual learning and AI curation

    RESOURCES & LINKS
    • OpenSesame Official Website
    • Mehdi Tounsi on LinkedIn
    CONNECT WITH REDTHREAD RESEARCH
    • RedThread Research Official Website
    • RedThread Research on LinkedIn
    • Dani Johnson on LinkedIn
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    13 分
  • Data is the Difference: In Conversation with Cornerstone
    2026/06/08
    Why will data be the differentiator when it comes to AI? Why are HR leaders focusing more on outcomes in 2026? What metrics are HR leaders using to measure success?In this episode of 600 Seconds in HR Tech, Dani Johnson sits down with Cornerstone’s Mike Baker and Kate Graham to explain why organizations are struggling to become skills-based organizations, how AI adoption is accelerating inside enterprises, and why clean workforce data is becoming the foundation for effective HR transformation.They also discuss how Cornerstone is evolving beyond learning management systems (LMS) into a broader talent and workforce planning platform focused on outcomes, workforce orchestration, and strategic skills intelligence. As Mike explains “if you’re not delivering an outcome through an investment in AI, then why are you doing it?”

    QUESTIONS ANSWERED
    Why Are Companies Investing in AI Right Now?
    According to Mike Baker and Kate Graham, many organizations are being pushed by executive leadership to become more AI-enabled, even when they are still figuring out how to implement AI effectively.

    Kate explains that many organizations feel caught in the “squeezed middle”: expected to adopt AI quickly while still lacking the infrastructure and data maturity needed to do it well.

    Why Is Data So Important for AI in HR?
    One of the biggest themes in the episode is that AI systems are only as effective as the data powering them. Without correct infrastructure or foundational data, AI systems risk producing inaccurate insights, weak recommendations, and poor workforce decisions.

    Mike and Kate also highlight how many HR teams still rely on intuition, nine-box grids, and historical assumptions instead of data-driven workforce planning.

    How Are Learning and Talent Functions Changing?
    Mike and Kate explain that learning and development teams can no longer operate independently from talent management and workforce planning.

    This convergence is pushing HR technology platforms toward more unified workforce ecosystems rather than standalone learning systems.

    TIMESTAMPS
    00:00 – Introduction to Cornerstone OnDemand
    00:39 – What Are HR Leaders Talking About at Learning Technologies London?
    02:39 – Are Organizations Rearranging Themselves to Keep Pace?
    05:18 – How are Cornerstone and their buyers changing?
    07:06 – How is data influencing organizational readiness for AI?
    09:50 – How will access to data impact vendors?
    19:11 - Dani’s Reflection

    RESOURCES & LINKS
    • Cornerstone Official Website
    • Mike Baker on LinkedIn
    • Kate Graham on LinkedIn
    CONNECT WITH REDTHREAD RESEARCH
    • RedThread Research Official Website
    • RedThread Research on LinkedIn
    • Dani Johnson on LinkedIn

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    22 分
  • Unlocking the Future of Learning: Docebo’s Big Bet on 365Talents
    2026/06/05
    How are learning platforms evolving beyond training delivery and into true workforce intelligence? In this episode of 600 Seconds in HR Tech, Dani Johnson sits down with Alessio Artuffo, CEO of Docebo, to discuss the company’s acquisition of 365Talents and what it means for the future of learning, skills intelligence, and workforce development.The conversation examines why organizations need better visibility into real skills gaps, how AI is changing skills inference, and why connecting learning with talent management is becoming essential for long-term workforce readiness.As Alessio explains, “the evolution of skills intelligence [will] tackle both the agent skills and the human skills, in ways that are going to be slightly different…I think in the future you will have a situation where you have work that humans can do, and the work that agents can do, and the integration of those two layers will be the 3.0 of skills intelligence.”

    QUESTIONS ANSWERED
    Why did Docebo acquire 365Talents?
    Docebo acquired 365Talents to strengthen its ability to connect learning with talent management and workforce planning. The goal is to create a more unified platform that supports both employee development and strategic business outcomes.

    What role do agent skills play in the future of work?
    As AI becomes more embedded in organisations, leaders must think about both human skills and agent skills. Understanding how people and AI systems work together will become an important part of future workforce planning

    Why are Docebo leaning into skills, when others are taking a step back?
    Alessio explains: “connecting real skills gaps, learning, and giving organizations tools to act on it- I don’t think of that as a bet, I think of it as a real necessity. Every job and profession is changing, and the ability to connect skills to actual performance, I think now more than ever is incredibly important.”

    TIMESTAMPS
    00:00 – Introduction to Docebo and skills intelligence
    03:40 – Workplace Skills 3.0
    05:46 – Why Docebo acquired 365Talents instead of building
    08:22 – What makes 365Talents different in skills inference
    10:50 – Who should own the skills journey inside Docebo?
    13:45 – Dani’s reflection on the conversation

    RESOURCES & LINKS
    • Docebo Official Website
    • 365Talents
    • Alessio Artuffo on LinkedIn
    CONNECT WITH REDTHREAD RESEARCH
    • RedThread Research Official Website
    • RedThread Research on LinkedIn
    • Dani Johnson on LinkedIn
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    17 分
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