Stefan Zosel

🚀 From IBM’s “Spin-off” to a profitable $15B giant: The Kyndryl turnaround story In 2021, IBM spun off its Managed Infrastructure Services unit into a new company: Kyndryl. No cash deal. No flashy IPO. Just a quiet separation. At the time, Kyndryl carried $18B revenue but was weighed down by legacy contracts and razor-thin margins. Many wrote it off as “the past” while IBM chased hybrid cloud and AI. Fast forward to 2025: Revenue: $15.1B (deliberately pruned to shed low-margin deals) Profitable at last → $252M net income (vs. $340M loss a year earlier) Record signings → $18.2B (+46% y/y) Alliances with AWS, Azure, Google doubled to $1.2B revenue AI-driven Kyndryl Bridge powers delivery for 1,200+ customers The secret? A relentless “Three-A” strategy: 1️⃣ Alliances – Partner instead of compete 2️⃣ Advanced Delivery – Automate, upskill, and cut costs 3️⃣ Accounts – Reshape bad deals, exit zero-margin work 👉 The lesson: Sometimes the “Spin-off” business, when freed from a parent’s shadow, can reinvent itself faster than anyone expects. IBM shed Kyndryl to chase its future. Kyndryl found its own. Question for you: If your business spun out tomorrow, would it sink under legacy baggage—or reinvent itself into a growth story? #ITstrategy. #Growthhacking #spinoff #turnaround #management #storytelling

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Moving to a cloud operating model is a key for service providers to unlock the full potential of 5G Core. Why? 🤔 ⭐ Because it enables seamless in-service upgrades, faster feature rollouts, and stronger security, among other benefits. In a new blog, my colleagues Krishna Kalluri and Dilek K. highlight four pillars of this transformation. Also, they show how CSPs are already benefiting, while laying the foundations for autonomous networks. It’s worth a read 👉 https://bit.ly/42CXHJj #5GCore

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We announced multi-billion dollar investments to expand OCI's AI and cloud footprint in both Germany and the Netherlands. We’ve significantly expanded our AI infrastructure capacity in these markets to enable our customers to accelerate their AI and cloud innovations while meeting critical data privacy, sovereign AI, and low latency requirements. Read more about the news and learn how you can deploy the most demanding AI workloads on OCI’s zettascale Supercluster. https://lnkd.in/g3euWspR https://lnkd.in/gAsv---T

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It is fascinating to hear that ‘Saying Thank You’ to models like ChatGPT is costing OpenAI millions. But I agree with the #NewYorkTimes in the below article. It is extremely important that we treat our AI powered assistants as we would our human colleagues. We will interact with more and more #AgenticAI powered assistants , and how we interact with them will inevitably impact how we treat each other on a day-to-day basis. I cover how we are helping companies prepare for this new way of working below! #NTTData https://lnkd.in/e_vUVaBC https://lnkd.in/eVThjdv5

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I am excited to share that Kyndryl recently introduced The Kyndryl Agentic AI Framework: built to help enterprises scale agentic AI with confidence on-prem, in the cloud or hybrid.  Powered by insights from Kyndryl Bridge, Kyndryl’s framework deploys self-learning AI agents that adapt in real-time, working alongside human teams to drive smarter operations and faster decisions. We are excited to help customers design, implement, and run agentic AI solutions at scale—tailored to their specific business productivity and innovation goals.  Learn more here: https://lnkd.in/evfQdEgs

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Enterprise architecture is often seen as a technical function, but at Intel Corporation, it is a critical enabler of business transformation.     Our latest white paper outlines how Intel IT is evolving EA to align strategy with execution, increase agility, and deliver measurable business value in a dynamic environment.     Through a federated governance model, enhanced asset management, and Capability-Based Planning, we are driving greater consistency and responsiveness. Technical Workgroups (TWGs) play a central role by defining standards and architectures that guide decisions across the enterprise.     AI is reducing manual effort and making architecture insights more accessible, while a formal process for evaluating emerging technologies ensures innovation stays aligned with business priorities.     For organizations managing complexity at scale, this paper offers a practical look at how enterprise architecture can accelerate transformation and provide lasting impact. #IAmIntel Intel Business

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