Squaring the circle - digital sovereignty’s big picture versus its operational details

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When it comes to AI, we live in interesting times, in the words of the apocryphal Chinese proverb. Organizations want to be more resilient to risk, uncertainty, and upheaval, but that means quantifying the risks first. And in the real world, some of it falls squarely into the ‘big picture’ category. So, before we get to the nitty gritty, let’s look at that first.

Enterprise research findings that AI’s productivity uptick has failed to materialize have reached the ears of the mainstream business media. Take the headline in the Financial Times recently which asked, ‘Is AI productivity growth in the room with us right now?’ Ouch.

Recent research from AI industrialization specialists Domino Lab finds that AI is “not delivering business value”: the ROI picture is unchanged from a year ago, according to its fifth annual enterprise report, with most organizations noting that returns merely match expenditure – or...

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Quote of the day by ex-OpenAI chief scientist and SSI co-founder Ilya Sutskever: 'AI will keep getting better and the day will come when AI will do all the things that we can do' — a staggering prediction about a future superintelligence

The pace of growth in AI has been fast since ChatGPT debuted in November 2022, and many predict the current neural network-based technology can one day scale up to outperform humans. This has long been a theorized possibility in the industry, but might we finally have the technology to realize