Roman Chwyl

To get real insight from your data, you need to unify it. That was the key takeaway from NetApp CEO George Kurian on a recent Bloomberg Intelligence 'Tech Disruptors' podcast. He discussed how NetApp is pioneering solutions that help enterprises unify their data across different types, applications, and locations—a crucial capability in the AI era. It's a refreshing perspective: instead of just focusing on storage, the conversation is about building an intelligent data infrastructure that supports emerging AI workloads and drives the next wave of enterprise growth. #WhyNetApp Listen to the full episode to hear how George is positioning ONTAP and deep cloud partnerships to meet these new demands. Listen here:

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IBM's making its most significant infrastructure acquisition since Red Hat, paying $11B for Confluent, solidifying a portfolio of 3 foundational open-source technologies in the process. My latest in Forbes looks at the deal: → IBM now controls three foundational open-source technologies: streaming (Confluent), containers (Red Hat), and infrastructure automation (HashiCorp) → Confluent provides real-time data delivery for AI models and autonomous agents operating across hybrid environments → Confluent's four deployment models address regulated industries that can't migrate entirely to public cloud TL;DR: the deal makes IBM the only major vendor offering an integrated stack specifically designed for enterprises operating across on-premises, private cloud, and public cloud environments. My full take, at the link. #IBM #Confluent #ApacheKafka #HybridCloud #EnterpriseAI #DataStreaming #CloudInfrastructure #TechMA #EnterpriseIT https://lnkd.in/eDQ7Mqgi

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NetApp unveiled its AFX disaggregated storage platform at Insight 2025, addressing the critical data foundation challenges that cause 95% of AI projects to fail before reaching production. Gavin Moore, CTO for EMEA and Latin America, argues that NetApp’s unified approach differs from closed ecosystem competitors and why European AI regulation may actually accelerate adoption.

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What are the top challenges businesses will face in 2026? NetApp CEO George Kurian highlights four priorities for customers: modernizing data infrastructure, ensuring resilient and secure operations, optimizing cloud strategies, and achieving success with AI. NetApp is committed to addressing these needs through continued investment in innovation and data analytics. By partnering with channel experts, we're streamlining data prep for large-scale AI, driving productivity, and empowering clients to secure and leverage their data.

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I recently got back from a day in Austin with IBM, talking IBM Quantum. I enjoyed the interactive aspect of the day, with a lot of Texas university people there sorting out Quantum education needs. Lot of bright IBM engineers talking to us about where Quantum is today and where it is headed. As Moore's law progress slows down in many areas of technology hardware and speeds - we are seeing Quantum preparing to take leaps. For any FNTS customers who are following me, are you even discussing Quantum yet? IF you are not, you should be. Quantum computers are already being sold to companies. It is just years before IBM and others start selling time on Quantum computers. Wait, they already are! Large companies are already learning how to leverage Quantum. I know AI is distracting people. AI is an algorithm whereas Quantum is more about circuits. They are different but on parallel tracks. Eventually they will converge and AI will aid people learning how to prepare data for Quantum use. Back to being prepare though. You need to start thinking about quantum level encryption for your enterprise application and sensitive data. You have 3-4 years maybe before hackers are able to use Quantum to break all your current non-quantum encryption. When this happens- no data

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