Despite heavy investment, 95% of generative AI (GenAI) pilots are failing1 and, at the same time, more than 50% of businesses report moderate to severe technical debt that’s expected to reach 75% by 2026 as AI intensifies pressure on already strained systems2. These failures aren’t about AI being...
Nearly all AI conversations start with sweeping promises and buzzword bingo—transformation, automation, reinvention, optimization. Yet most businesses don’t need aspiration; they need a roadmap they can trust. Traditional AI roadmaps have become moving targets: unfocused, unachievable, and rarely tied to the outcomes that matter. What leaders want is a clear, measurable path that shows how AI can deliver ROI in...
I had the opportunity to present at HIMSS 2026 on something that keeps me up at night—how healthcare organizations can actually deploy AI in ways that work. Not the hype, not the theory, but the real infrastructure and governance you need to make this stuff operational. Here’s my take on what matters. The Need for Trusted AI Healthcare has...
Most AI experiences still start with a prompt. That’s useful. But it’s not an operating model. The real unlock is when outcomes become the interface. You don’t merely “chat with AI.” You run repeatable workflows that execute across your systems, deliver outcomes, and prove value every time. That’s...
Reading the headlines, there’s an interesting dichotomy emerging: the power of various models is continually improving, and yet, organizations continue to struggle to show ROI. Here’s what everyone misses: AI projects don’t fail because the models aren’t good enough. They fail because leaders can’t confirm what’s actually delivering value. All the noise around new models and agent workflows is missing...
For years, “just put it all in the public cloud” seemed safe. Hyperscale platforms offered limitless scale, global reach, and rapid innovation, especially in AI. But as bills rose and architectures grew complex, many realized an uncomfortable truth: hyperscale-only isn’t truly a cloud strategy. It’s just what organizations have defaulted to – and it’s becoming expensive. Today, 84% of...
AI works. The problem? Most companies are drowning in complexity trying to make it work. Shockingly, research shows the average organization has 254 AI apps in use, whether they know it or not 3. So assuming your AI maturity is about average, then 93% of your employees are already using generative AI without telling anyone. And...
Practical, Safe Entry Points for Businesses For many organizations, AI still feels like a high-stakes gamble, with big promises but also big questions, especially around security, compliance, and ROI. Compounding the urgency to come up with a solution is the fact that employees are already using public AI tools to accomplish their work, often daily, without any safety or...
Nearly all businesses are in a race to utilize AI to optimize operations, reduce costs, and stay competitive. But a growing internal risk is largely overlooked: the unsanctioned, uncontrolled usage of public AI tools by employees, commonly called Shadow AI.
It’s impossible to ignore the relentless buzz around artificial intelligence (AI)—and for good reason. In business, AI is wielding transformative power at an unprecedented pace, promising to revolutionize workflows, decision-making, and customer experiences. But alongside record-breaking innovation, a darker tide is rising: cybercriminals are deploying AI to escalate threats to levels never seen before. A recent MIT Sloan...
As an industry, artificial intelligence has turned our intuitions about difficulty completely upside down. The problems we thought would be trivial for machines remain stubbornly hard, while challenges we assumed would take decades have fallen with surprising ease. The Laundry Paradox Five years ago, if you’d asked any reasonable person whether we’d first see machines pass the Turing test...
Coming up to the one-year anniversary of the unveiling of ChatGPT – November 30th 2022. It’s a pretty big deal. And I can’t help but play the where were you when? game. Reflecting on the location where seminal moments surfaced in our lives, global disasters, life moments. For me Generative AI came into focus...
