Mergers and acquisitions are often driven by strategic growth, market expansion or operational efficiency. But one area that is frequently underestimated during the deal process is technology and that oversight can significantly change the complexity of the integration once the deal closes. Having gone through several acquisitions, I have seen a consistent pattern emerge. While…
Real problem enterprises are facing Enterprises are currently in an all-hands-on-deck situation to stay relevant in the evolving AI race, with initiatives from the executives to invest heavily in the application layer of AI in pursuance to find productivity and performance gains with the advancement of large language models and generative AI. This can be…
A vast majority of CIOs now regret major AI purchases their organizations have made, with many also being asked to defend AI outputs they can’t explain. Three-quarters of CIOs say they have remorse over at least one major AI vendor or platform selection made in the past 18 months, with some of that disappointment driven…
For much of the last three decades, the CIO role has been defined by delivery: platforms implemented, systems stabilized, programs executed. Success was measured in uptime, milestones, and budget adherence. When things went wrong, the diagnosis was familiar — execution struggled, teams moved too slowly, or technology didn’t perform as expected. That framing is no…
Most enterprises aren’t failing at AI. They’re structurally incapable of scaling it. The current state of enterprise AI is defined by a significant disconnect. According to the Fujitsu Technology and Service Vision 2025, while 98% of organisations are already deploying generative AI, only a tiny fraction – roughly 5% – have achieved impact at a…
The modern CIO is no longer asked, “Are we secure?” They are asked, “How fast can we recover?” There is a sobering adage in modern cybersecurity: “If you think you haven’t been hit by a cyberattack yet, chances are you just haven’t noticed.” As CIOs accelerate the integration of data and AI into the core…
AI is producing more insight than ever, yet boards are hesitating longer before acting. The issue is not model accuracy. It’s decision confidence. As AI systems proliferate, CIOs are discovering a paradox: the more data they provide, the more uncertainty executives feel. The real mandate is no longer deployment; it’s designing a decision architecture where…
Supply chain disruption is no longer an exception to manage. It has become a permanent operating condition. Since 2020, organisations have faced continuous shocks; from geopolitical conflict and climate-driven events to labour shortages and volatile demand. What many leaders once viewed as temporary instability has evolved into an enduring reality that is reshaping how supply…
It is easy to think of AI as nothing more than a technology race. IT and business leaders have seen the impact of generative AI and are preparing for agentic AI to take control of complex workflows, transforming how entire businesses and industries operate. But that ignores the fact that developing, implementing and running an…
The road to AI-fuelled growth must be underpinned by an integrated data ecosystem that delivers accuracy, speed and insight. Gartner predicts that, through 2026, organisations will abandon 60% of projects unsupported by AI-ready data; a concern when 63% of organisations are unsure they have the right data practices in place. Data integration is key to…