Helen Yu
@YuHelenYu • 60,557 subscribers
#DigitalTransformation obsessed #CXO and #GrowthHacker. Find me at the intersection of #Tech and #Humanity. #AI #DataAnalytics #FinTech #CX #IoT #CyberSecurity
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1 in 3 organizations breached last year. Fewer than 1 in 4 have a password manager. 74% lack complete identity visibility. This is a governance failure. Just published State of Workforce Password Security 2026 with 3,322 responses across 9 regions in collaboration with Zoho. Identity risk is still not being managed as a core control surface. Full report → Watch my conversation with Chandramouli Dorai, Chief Evangelist at Zoho → #CyberSecurity #IdentitySecurity #BoardGovernance #ZohoPartner
Helen Yu18,823 次观看 • 1 个月前
What does HR agentic moment look like in practice? In my conversation with Rinky Karthik from SAP SuccessFactors, we unpacked what SAP Sapphire’s agentic AI announcements could mean for HR leaders, practitioners, and the employees they serve. We talked about payroll, skills, learning in the flow of work, and why the future of HR is less about more tools and more about better outcomes. Our full conversation: or SAP Sapphire On Demand: #SAPSapphire #AutonomousHCM #AgenticAI #SAPSuccessFactors #SAPPartner
Helen Yu11,434 次观看 • 23 天前
One of my favorite moments at IBM Think 2026 was the Analyst AMA with Chairman & CEO Arvind Krishna; unfiltered, direct, and a conversation that cuts through the noise. Is your enterprise running AI at its core or just at its margins? Just published my #IBMThink recap. The big shift: infrastructure is now the real battleground for business value. What CIOs and tech leaders need to hear: ✅Treat AI as a connected operating model versus pilot portfolio. ✅Invest in data plumbing, governance, and cost controls before scaling agents. ✅Position quantum as a domain-specialized accelerator within hybrid pipelines. ✅Partner intentionally. Neutral orchestration beats vendor lock-in every time. Full recap → #Think2026 #IBMPartner #AI #Quantum IBMPartners #CIOs #CTOs
Helen Yu13,205 次观看 • 1 个月前
What does it take to lead securely in an AI-driven world? 87% of CFOs think they’re secure. Most aren’t. At the Microsoft AI Tour, I spoke with Chris Tignor (former CISO) about the governance gap. Security = foundation for AI, not a blocker. Watch our conversation: Or read my key takeaways: #MicrosoftAITour #MicrosoftAmbassador
Helen Yu11,984 次观看 • 1 个月前
What happens when enterprise AI evolves from “systems of record” to “systems of action”? #IBMPartner That’s the real story behind the IBM + Google Cloud partnership. At IBM Think, I spoke with Karan Sachdeva about: → WatsonX on Google Cloud Marketplace → OpenShift-enabled AI portability → HashiCorp-powered governance and security → IBM Orchestrate + Gemini integration Enterprises are building operational frameworks for autonomous AI agents. Governance, interoperability, and trust become more important than the models themselves. Watch the full conversation: #IBMPartner #IBMThink IBMPartners
Helen Yu12,297 次观看 • 1 个月前
What better way to kick off the new year than “Everybody” at Sphere with robots? 🤖🎶 The Backstreet Boys’ performance at Sphere was a reminder that when music, immersive tech, and robotics collide, the future feels very present. High energy, iconic sound, and yes… robots stealing the show. That momentum carries straight into hashtag#CES this week, where I’ll be diving deeper into what’s next through interviews on: ✅ Robotics (Cosmos and GR00T Year One) ✅ Smarter AI for Enterprises ✅ Intelligent Product Lifecycle From the stage to the show floor, innovation is setting the rhythm for 2026. Stay tuned as the future of AI, robotics, and intelligent systems takes center stage. #CES2026 #Robotics #AI #Enterprises #ProductLeaders To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉#CXOSpiceNewsletter here or 👉 #CXOSpiceYouTube here
Helen Yu40,412 次观看 • 5 个月前
What does generative transformation look like beyond adopting AI tools? It’s not more pilots. It’s not more tools. It’s building a system that compounds value. At IBM Think, a few takeaways from my conversation with Blue Polaris: → A clear “North Star” that aligns every AI initiative → Governance and trust as prerequisites → 10x ROI means nothing if you can’t scale → A shift from one-off projects to scalable platforms And the underrated edge? Community. The IBM Partner ecosystem is accelerating learning in real time. Generative transformation is a discipline. Watch our full conversation: #IBMPartner #Think26 #IBMPartnerPlus #BluePolaris
Helen Yu12,477 次观看 • 1 个月前
What do builders and leaders need to learn to thrive in the Agentforce transformation? #Sponsored At Salesforce TDX, Joe Inzerillo made a clear point: we’re not just adding AI; we’re onboarding a new kind of labor. That changes everything about how we build software. I used to design → build → test → deploy. In the agentic world, you shape behavior, not just ship code. In this conversation (streamed on Salesforceplus1), we break down: • Why agents aren’t traditional software • The 4-layer enterprise AI architecture • What this shift means for developers + CIOs 👉 Watch the full conversation: - Or check out our conversation on #CXOSpice #SalesforcePartner #Agentforce #Developers #TDX26
Helen Yu15,849 次观看 • 1 个月前
What does it mean to scale a team when part of your workforce is digital labor? #Sponsored At Salesforce TDX, I sat down with Brandon Metcalf, CEO of Asymbl, and what he shared challenged the assumption that growth is tied to headcount. Asymbl hired 116 people in 100 days with just two human recruiters. They processed 17,000 applications. And they ended up with lower attrition than most traditional hiring cycles produce. Today their workforce is 60% digital and they're scaling toward 1,000 digital workers, powered by Agentforce and anchored in Salesforce's security and reliability. Here is what that shift demands of leaders: ➡️ Less managing effort, more orchestrating outcomes ➡️ Less adding headcount, more multiplying capability ➡️ Less deploying software, more onboarding teammates The hardest part was belief in a different way of working, and the willingness to design for it before the rest of the world catches up. 👉 Watch our conversation here: #salesforcepartner #TDX26
Helen Yu11,951 次观看 • 1 个月前
What signals that a company is getting AI transformation right? I asked Tracie Larson, VP and GM of Customer Success, US Financial Services of Microsoft at #MicrosoftAITour Atlanta. Her answer: ✅ Executive sponsorship with intent ✅ Governance built in from day one ✅ AI fluency at every level ✅ An AI center of excellence I'd add a fifth: customer-back design. As Pam Maynard OBE said: "The most important ingredients in any AI solution are intelligence and trust." Frontier firms amplify human ambition. That's the standard. ▶ Watch my full conversation with Tracie: ▶ Read the Microsoft AI Powered Sales eBook: #FrontierFirm #AITransformation #MicrosoftAITour #MicrosoftAmbassodor #FinancialServices #CROs
Helen Yu12,208 次观看 • 1 个月前
How is Salesforce’s Agentforce impacting government? AI in the public sector has moved from hesitation to execution. Agents are now live and reducing costs, improving service delivery, and handling millions of citizen interactions. #sponsored The bigger shift is from reactive systems to proactive, personalized government. This is a redefinition of how government serves citizens: #AI #GovAI #Agentforce #Missionforce #SalesforcePartner
Helen Yu11,092 次观看 • 2 个月前
The Strait of Hormuz closure is a stress test for every system dependent on it including AI. Data centers run on uninterrupted power. When energy fractures, so does the digital economy. But AI is also one of our most powerful tools to fight back: rerouting supply chains, optimising grids, directing capital. Energy security is now an AI conversation. #ADIPEC2026 will be a key forum for addressing system‑level resilience and advancing the infrastructure needed to withstand future shocks. #ADIPEC #ADNOC #EnergySystems #Resilience #Investment #ArtificialIntelligence
Helen Yu10,885 次观看 • 2 个月前
Most AI projects don't fail because models aren't good enough. They fail because inference economics don't scale. During #CXOSpice, Roman Chernin Nebius broke it down: ✅Closed models kill margins ✅Open models unlock control, if you can run them well ✅DataData only becomes a moat when inference is sustainable One team cut inference costs 26× in production. Only 30% of orgs use AI at scale, mostly in 1% of workloads. We're just getting started. Full conversation: #AI #Inference #TechInnovation Learn more about Nebius Token Factory:
Helen Yu13,662 次观看 • 4 个月前
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