04 July 2025

Peter Wilcock, VP, Latos Data Centres

At Nvidia’s GTC developer conference in March, CEO Jensen Huang heralded a trillion-dollar boom in data centres, to underpin ever-more sophisticated AIs. He declared that “the data centre is no longer a warehouse for computing, it is the engine of AI.”

This transformation is already underway. Since 2021, sales of conventional CPUs have slumped by 80%. By contrast, demand for the GPUs needed for AI is accelerating, and expected to grow by almost 30% every year.

04 July 2025

Paul Speciale, Chief Marketing Officer, Scality

I n the 2020s, we’ve crossed a rubicon in the AI revolution. What were once long-discussed concepts about the possibilities and pitfalls of AI have exploded into reality. With generative tools leading breakthroughs in content creation, data analysis, and coding, the market reflects this momentum - AI is set to soar from $93 billion in 2020 to $826 billion by 2030. Moreover, key analysts like Gartner now predict a massive growth in enterprise demand for consumption-based as-a-service based offerings, further amplifying the market opportunity.

03 July 2025

Zeki Turedi, Field CTO, EMEA, CrowdStrike

Cyber adversaries continuously pose new and highly sophisticated threats that evolve beyond the capabilities of legacy security solutions — a fact that IT decision-makers cannot afford to ignore. Modern attacks demand advanced solutions, yet traditional tools available to security operations centre (SOC) teams are increasingly ill-equipped to meet these demands.

This reality underscores an urgent need to adapt and future-proof legacy security information and event management (SIEM) tools. By leveraging the latest technologies, SOC teams can improve and streamline their operations. However, such a transformation takes time — which ultimately benefits threat actors.

03 July 2025

Charlie McRae, Systems Engineer at IDS-INDATA

Wi-Fi 7 has the potential to significantly enhance connectivity in industrial environments, offering ultra-low latency and high-speed wireless performance that supports a range of applications, from smart factories to AI-enhanced automation.

In practice, industrial deployments often encounter difficulties when existing infrastructure isn’t ready to meet the demands of Wi-Fi 7. Without careful planning and proper execution, businesses may experience downtime, suboptimal performance, and disappointing returns on their technology investments.

30 June 2025

James Clark, Data Protection, AI and Digital Regulation, partner at Spencer West LLP

Artificial intelligence (AI) has captured the world’s attention in recent years, and the IT network sector is no exception. With transformative potential for automation, predictive maintenance, network security, and more, AI promises much. As such, it has become a beacon for investment, and a watchword for companies when procuring all forms of technology services.

However, an emerging trend — often labeled as ‘AI-washing’ - has seen companies embellish or outright misrepresent their products as ‘AI-enabled’ or ‘featuring AI’ when, in reality, the underlying technology may not be all that smart - and something that, until very recently, would not have been badged as AI. This practice, reminiscent of greenwashing in an environmental context, is not harmless, and can have significant legal, reputational, and commercial consequences for companies operating in an increasingly competitive marketplace.