Modern organisations generate more operational and security data than ever before. Every application, network device, cloud platform, endpoint and connected service creates a continuous stream of information. Yet despite this abundance of data, many businesses still find themselves reacting to incidents rather than preventing them.

AI is transforming financial services at pace - accelerating investment, intensifying competition, and raising expectations across the industry. Global AI spend in the sector is forecast to jump from $35 billion in 2023 to nearly $97 billion by 2027, highlighting just how critical AI has become to future growth. (World Economic Forum)

Logicalis CEO, Bob Bailkoski, explores the key AI leadership challenges facing CIOs today, highlighting the need to balance rapid AI adoption with strong governance, scalable foundations and trusted ecosystems to deliver lasting business value.

The next evolution of cybersecurity is not responding faster, but seeing threats sooner. See how Cyber Threat Intelligence helps organisations move from reactive defence to proactive risk management by uncovering threats before they reach the network.

What began as a discussion about data residency has evolved into something much bigger. Today, organisations are being asked to prove they know where their data lives, who can access it, how it's protected, and whether it can be governed effectively as AI adoption accelerates.

AI adoption is accelerating at a remarkable pace. Across every department, employees are embracing AI tools, assistants and agents to work more efficiently, automate repetitive tasks and unlock new opportunities for innovation. What was once limited to experimentation is quickly becoming embedded in everyday business operations.

By combining the flexibility of public cloud with the control and security of on-premises infrastructure, organisations expected greater agility, lower costs, and a stronger foundation for innovation. Yet for many CIOs, the reality has become far more complex.

As organisations race to scale AI, many are discovering that the biggest obstacle is not the technology they are buying but the technology they already have

Launching an AI pilot is one thing. Scaling AI across the enterprise is another. Before investing in the next platform or use case, CIOs should ask whether the technology foundations are ready for what comes next.