『AI HR Daily by OVI』のカバーアート

AI HR Daily by OVI

AI HR Daily by OVI

著者： Tim from OVI
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What is Al HR Daily? Artificial intelligence in human resources encompasses technologies like machine learning, natural language processing, and predictive analytics applied to talent acquisition, employee engagement, performance management, and workforce planning. From Al-powered resume screening to automated video interviews, these tools help HR teams make faster, more objective hiring decisions. Topics We Cover Al recruitment tools, automated candidate screening, Al voice interviews, hiring bias reduction, EU Al Act compliance, predictive hiring analytics, talent intelligence platforms, Al job description generators, skills-based hiring, workforce planning Al, employee retention prediction, and Al ethics in employment 毎時
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  • 60% of HR Leaders Admit Their Training Can't Keep Up With AI

    60% of HR Leaders Admit Their Training Can't Keep Up With AI
    2026/06/19
    Nearly every HR leader believes AI will create brand new entry-level jobs — but almost half their organizations aren't doing anything to prepare workers for that future. That contradiction is at the heart of new research from Cognizant and Pearson, and it raises an uncomfortable question: are we optimistic about AI transformation while being completely unprepared for it? The AI Workforce Pulse study surveyed 750 HR directors and above at large companies across the US, UK, and India. The findings are striking. 94% of HR leaders expect AI to generate entirely new entry-level roles within five years. 96% expect those roles to shift toward supervising and managing AI systems. And yet — 60% say their learning and development programs can't keep pace with that transformation. Nearly half aren't proactively arranging AI training at all. What's also fascinating is how the definition of a strong entry-level hire is changing. 69% of HR leaders now value broad, interdisciplinary backgrounds over specialized expertise. 67% say they value liberal arts degrees more than before. And a whopping 97% say soft skills — adaptability, problem-solving, human judgment — matter more in an AI-augmented workplace. When AI handles the routine technical work, the human edge becomes about thinking across domains and adapting quickly. The takeaway for HR and L&D leaders is urgent: the transformation isn't coming — it's already here. One-third of entry-level tasks globally are already performed by AI. Organizations that build AI readiness into their training infrastructure now will have a decisive advantage. Those that wait will be scrambling for a shrinking pool of AI-ready talent while their own workforce falls behind.
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  • Building Instead of Buying: Eightfold AI's Bold Bet on Custom HR Software

    Building Instead of Buying: Eightfold AI's Bold Bet on Custom HR Software
    2026/06/19
    The classic HR software playbook says pick a vendor, sign a contract, and customize within limits. Eightfold AI just launched TalentForge to flip that script entirely. At Cultivate 2026, Eightfold unveiled a composable platform that lets enterprises build their own HR applications on top of Eightfold's talent-intelligence backbone. Rather than buying a boxed solution, companies like Deloitte and Deutsche Telekom can now construct purpose-built tools that actually fit their specific workforce, industry, and compliance context. The headline feature — AI Interviewer 360 — doesn't just assist a human interviewer. It runs the entire interview autonomously, covering functional skills, coding, and language evaluation in one unified conversation, available around the clock. That's a significant leap from a scheduling tool. There are real questions too: pricing is opaque, building software takes technical horsepower most HR teams don't have, and Eightfold's claim that 90% of enterprise software will eventually be custom-built is their own assertion — not independent research. But the direction is clear. The build-vs-buy debate in HR tech is getting very real, very fast.
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  • The AI That Finally Proves Employees Actually Learned Something

    The AI That Finally Proves Employees Actually Learned Something
    2026/06/19
    Corporate training costs companies $400 billion a year — and most of it doesn't stick. Completion rates climb, post-course surveys get filed, and then nothing measurably changes on the job. In this episode, we dig into Perceptyx Develop, a new five-agent AI learning system that launched in May 2026 and is taking direct aim at that problem. Develop deploys three AI agents during live training sessions — not after them. The Tutor adapts its questioning in real time based on what learners actually demonstrate they understand. The Evaluator scores responses against learning objectives on the fly. And the Development Advisor creates a transcript-grounded record of what each employee truly learned — verified evidence, not assumptions. It's a fundamental rethink of how we measure whether training actually worked. This fits into Perceptyx's broader People Activation System, which links employee listening data to skill development to verified behavior change. The company says employees who receive targeted development based on feedback are three times more likely to report lasting behavior change — and four times more likely to develop skills that improve on-the-job performance. Bold claims, but ones that HR and L&D leaders will want to track closely as real-world data comes in. If you're in HR or L&D and you're tired of defending training budgets based on completion rates, this episode is for you.
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