Kelly Knight
Latest from Kelly Knight
IBM Sovereign Core aims to put AI control back in the hands of the enterprise
Companies worldwide are demanding more than regulatory compliance from their technology stacks — they want digital sovereignty with verifiable operational control over AI workloads and the data infrastructure underpinning them. More than 75% of all enterprises outside the U.S. will have a digital sovereignty strategy by 2030 — a signal that the market has moved ...
Freshworks leans on partner flywheel to unlock mid-market opportunity at scale
As enterprise software companies race to close the gap between product capability and market reach, the distribution scale — a company’s ability to move product through partner networks at volume and velocity — has emerged as the critical engine of growth. For mid-market software-as-a-service providers, the challenge is not just building a great product — ...
AI transformation demands enterprises operate at two different speeds — or risk stalling entirely
AI adoption is maturing past the pilot phase, but organizations that treat the transition as a single-gear shift risk stalling before they reach production. The real challenge is navigating multi-speed transformation — knowing which workflows demand a deliberate redesign and which need rapid, iterative experimentation to stay competitive. As service management platforms evolve beyond traditional ...
Major advances in AI and 3D medical imaging are changing what patients see in the exam room
Even as AI rewrites the rules across industries, healthcare is still confronting a half-century of diagnostic stasis — but a new generation of companies is betting that advances in AI and 3D medical imaging can finally close the gap between what physicians see and what patients understand. One Paris-born startup thinks the solution starts in ...
Automating what already exists isn’t enough — agents demand a fundamental rethink of the enterprise
Enterprises have figured out how to stand up AI agents, but agent management is another problem entirely. The agentic moment is forcing organizations to interrogate everything, including the operating and business models that underpin longstanding infrastructure. That is because agentic AI requires a fundamentally different approach to process design — not automating what exists today, ...
From performance reviews to pink slips, managing AI agents looks a lot like managing people
The workforce is no longer purely human — and closing the gap between how companies manage people and how they govern AI agents has become one of the defining operational challenges of the digital worker lifecycle. As agentic AI spreads across every facet of the enterprise, IBM Corp. is betting that the same management rigor ...
Encryption standards face a reckoning as quantum computing era edges closer
The security landscape is entering uncharted territory as quantum computing moves from theoretical threat to near-term enterprise reality — and the race to post-quantum encryption is one most organizations are not yet ready to run. As agentic AI reshapes enterprise integration, the companies building the infrastructure beneath those agents must also grapple with a parallel ...
Becoming AI-native is no longer a path to success — it’s an operational prerequisite
The AI-native enterprise isn’t an ideal anymore. Instead, it has become the new competitive baseline. Dell Technologies Inc. has spent nearly three years interrogating that reality from the inside, using its own operations as a live proving ground, according to Jeff Clarke (pictured), vice chairman and chief operating officer of Dell. That time spent on internal ...
Enterprise AI is ready — Michael Dell says executives need to be, too
AI infrastructure is no longer just about faster computing. It is becoming the foundation for a new enterprise operating model where data comes alive, digital workers reshape workflows and leadership courage determines who keeps up. That inflection point has arrived even as infrastructure investment surrounding AI still seems to be in its opening act. Few companies ...
Before enterprises can run with agentic AI, they need to learn to walk with their data
Multi-agent orchestration is the destination, but for most enterprises, the road is blocked long before the first agent gets deployed by the quality of the data feeding those systems. As organizations accelerate investment in agentic workflows, a persistent gap between AI ambition and operational reality is widening. Legacy systems were built for a world where ...