{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"HR Voices","title":"Sunaina Lobo, Chief People Officer at Omnissa","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/d832c2a8\"></iframe>","width":"100%","height":180,"duration":1276,"description":"AI-Native HR: Omnissa’s CPO on Hyper-Personalization, Skills Intelligence, and Human ConnectionSummaryHow can HR lead AI adoption without losing the human core of work? Sunaina Lobo, Chief People Officer at Omnissa—an AI-driven digital workforce platform carved out of VMware—shares how she’s building a modern “hire-to-retire” experience just six weeks into the role. Sunaina explains why people teams must be change leaders, not just technology adopters, and how AI lets HR leapfrog legacy models like shared services to deliver truly personalized, scalable support. She walks through a practical talent development use case—using conversational intelligence to transform career conversations—so managers can focus on relationships while AI captures insights and suggests development paths. Sunaina also breaks down personalization in total rewards, the realities of a distributed workforce across 18 countries, the shift from rear-view HR metrics to predictive, insights-driven decision-making, and why engagement depends on hyper-human interaction and purpose-led cultures. If you’re redefining HR’s operating system, this episode offers a clear blueprint.Timestamps[00:45] – Guest intro: Omnissa’s VMware roots and Sunaina’s “hire-to-retire” mandate[02:50] – Why HR must lead AI adoption: change management over tools[04:45] – Leapfrogging shared services: AI bots for personalized employee support[06:20] – Talent development, reimagined: conversational intelligence for career conversations[09:00] – Total rewards in the AI era: from one-size-fits-all to hyper-personalization[11:30] – Engagement is human: community, connection, and “putting the H back in HR”[15:30] – Five focus areas: hyper-personalization, global talent, insights-driven HR, purpose, skills intelligence[18:10] – Aligning product and people: building an AI-native employee experience[18:50] – From anecdotes to evidence: using AI to connect HR metrics to business outcomes[20:40] – Guardrails: augment with AI, but keep...","thumbnail_url":"https://img.transistorcdn.com/ICj-SdAh1nzlUbpg9TUNmSjJhLHXAqS1LpGATLia9gE/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wNmVk/YTIzMTQ5Y2RkMjQx/ZWUwNTFhMTE1Y2Nl/NGI5Yi5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}