In this episode of The Main Scoop, Darren Surch, CEO of Interskill, joins Greg Lotko and Daniel Newman to discuss why agentic AI isn't a replacement for expertise but a force multiplier that demands even deeper foundational knowledge. Watch the full conversation to learn why structured training is the ultimate strategic control layer for deploying AI with speed and precision. Listen to the full conversation here: https://lnkd.in/escsw4-F
Agentic AI Boosts Expertise Not Replaces It
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The real opportunity for AI on the mainframe isn’t writing code—it’s turning system data into answers. In this interview, Gil Peleg, Co-Founder Geniez AI explains how AI can help engineers interpret SMF records, logs, and performance metrics faster, freeing them from manual analysis so they can focus on what really matters. From speeding up CICS troubleshooting to bridging experience gaps for new engineers, AI becomes a decoder ring for the mainframe. Watch the full conversation here: https://hubs.li/Q046Yt3j0 #Mainframe #AI #EnterpriseTech #Innovation #GeniezAI #SHAREOrlando2026 SHARE Association
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IBM's Dan Wiegand discusses the critical role of AI in enhancing mainframe operations and boosting productivity through RAG and AI agents. https://lnkd.in/eWdAVFjM
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🎥 At #SHAREOrlando2026, Tony Anter, Director, SHARE Association Board and strategist at BMC Software, joined Amanda Hendley to talk about the forces shaping the next era of the mainframe. From AI workloads and hybrid computing to the skills gap, developer experience, and attracting the next generation of talent, Tony shares why modern tools, modern workflows, and a modern mindset matter more than ever. It’s a thoughtful conversation on where the platform is headed—and why the future of the mainframe is still being written. 👉 Watch the full interview: https://hubs.li/Q049lfzJ0 #Mainframe #AI #SHARE #BMC #DeveloperExperience #Modernization #WorkforceDevelopment
Tony Anter Breaks Down AI, Jobs & the Future of the Next Generation
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AI adoption is moving fast: 84% of developers are already using or planning to use AI tools, and 51% of professional developers use them daily. But here’s the catch: only 33% trust AI output, while 46% actively distrust it - and just 3.1% highly trust it. Now put that into a decades-old mainframe, IBM i or other business-critical system: - hidden business rules - duplicated logic - undocumented workflows - cross-program dependencies no one remembers That’s where the cost shows up. Not just in tokens - In validation time, rework, and production risk. It’s about using the right clarity layer first - one that makes the system explainable, verifiable, and usable before AI starts generating change. Because on critical systems, speed is cheap. Trustable outcomes are not. #EnterpriseAI #LegacySystems #CodeIntelligence
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Everyone is talking about AI in fancy areas. Few are looking at this 👇 SFTP + Mainframe + AI And it’s a goldmine. Think about it: Every day, millions of files move via: → SFTP → NDM → MFT tools Now imagine adding AI: 🔥 Detect abnormal file patterns 🔥 Predict transfer failures 🔥 Auto-retry with intelligence 🔥 Identify data corruption risks No more blind monitoring. This is predictive operations. And very few engineers are working on this. Opportunity is not where everyone looks. It’s where no one is paying attention. #SFTP #Mainframe #AI #MFT #Automation #HiddenOpportunities
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AI is beginning to act as more than a tool in mainframe environments. It is becoming an agent of change. In this interview from BMC’s Infusing Intelligence series, Anthony DiStauro, BMC’s Senior Director of Architecture for AI, explores how artificial intelligence is evolving from reactive automation to proactive systems that can execute tasks and continuously learn. These collaborative AI approaches have the potential to improve operational efficiency and strengthen problem-solving across complex environments. The discussion also highlights the importance of human oversight, trust, and transparency as organizations integrate AI more deeply into enterprise operations. Watch the full interview to hear Anthony’s perspective. https://bit.ly/4bocqvg #BMCAMI, #BMCAMIAssistant #MainframeTransformation, #Mainframe, #GenAI, #OperationResilience, #AI, #DevOps, #Security, #DataManagement
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Gil Peleg, Geniez AI is one of our Top #PMFInfluentialMainframers 2026 — recognized for helping bring AI directly into the mainframe conversation in a meaningful way. By building Mainframe-Aware AI designed to work within live enterprise environments, Gil is challenging outdated perceptions of the platform and showing how innovation, security and real-time intelligence can come together where it matters most. His work is helping demonstrate that the future of AI doesn’t sit outside the mainframe — it can be built into it. From earning VC backing to rethinking how organizations interact with their most critical systems, Gil is helping shape a new chapter for mainframe innovation. Read more on How Gil Peleg Is Winning VC Backing for Mainframe AI. ➡️ https://hubs.li/Q049Ttv90 #Mainframe #AI #IBMZ #Innovation #EnterpriseTechnology #Leadership #PlanetMainframe
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Growth doesn’t come from doing more, but from doing the right things better. 📈 In a world full of noise, clarity and focus are underrated advantages. Sharing this for anyone on a learning journey of Mainframe Modernization 💻
New interview with Geniez AI CEO Gil Peleg by Amanda Hendley from Planet Mainframe. They discuss AI in the mainframe space, security, our unique approach to the market, what we see at customer sites, and lessons learned. A few interesting quotes: - "I don't know what will be in the AI space a year from today, but it is our mission to bring that to the #mainframe." - "Gaining time back, avoiding spending costs and minimizing downtime are real benefits we see from our customers" - "The bigger the company is, the more complex the environment, the impact would be more substantial" Full interview can be found here: https://lnkd.in/dFpp2NWe #Mainframemodernization #GeniezAI #GenAI #IBMChampions Morgan Wyatt Claire Connor Hanan Milman Dan Shprung
Interview with Geniez AI CEO - Gil Peleg at SHARE 2026 Orlando
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How confident are you that small code changes are not creating hidden risks in your IBM i environment? In complex systems, even a few lines of code can trigger performance issues that traditional monitoring tools simply cannot see. As environments become more interconnected, identifying these hidden dependencies is becoming one of the biggest challenges for DevOps teams. What if AI could surface problems before they impact performance? In our latest blog, we explore how AI driven diagnostics can uncover hidden system behaviors, detect anomalies, and help teams optimize IBM i environments before small issues turn into major disruptions. What is the biggest challenge you face when managing IBM i performance today? Read the full blog and join the conversation: https://lnkd.in/g6Sg7ps3 #IBMi #AI #iRays #DigitalTransformation
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