The article discusses the evolution of cloud computing from hype to maturity, focusing on multi-cloud and hybrid models. It highlights new challenges such as the demand for cloud sovereignty and regional data centers. AI's influence on cloud strategy is emphasized, particularly the need for organizations to evaluate their workloads. The discussion features insights from Alex Grimshaw, CTO at Microsoft Azure UK, who shares thoughts on emerging trends, the importance of skilling up in AI infrastructure, and the risks of relying on AI tools that may hinder critical thinking.
So cloud maturity for me, certainly for my engagement, whether that's from C-level or IT leaders, we're very comfortable with IaaS. But now, what's our approach to becoming more pervasive or using more sophisticated services like AI? And how do we enable or garner an internal culture and kind of process where we can adopt these faster moving services like AI, microservices, etc, in this new, bold world? That's certainly when I'm seeing that shift happen.
We made, in November 2023, a huge commitment to the UK government that we would make a huge investment in UK AI infrastructure particularly. And obviously, a skilling commitment is there because, of course, it's not only ideal just to have infrastructure in the UK but of course you want to be able to skill up people so they can actually utilize that infrastructure.
The research of Microsoft, we released a paper that challenged, almost the idea that the copilot type technologies were almost dumbing down our ability to critically think about scenarios, because a lot of people may utilize a tool like that and just take for granted what the response is. It's not augmenting human thought, it's almost replacing human thought.
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