
Enterprise AI: It's a trust problem, not just data retrieval
Companies are racing to deploy AI agents, but there's a snag. These digital assistants often confidently spout wrong answers, thanks to flaky data.
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Saturday, August 1, 2026
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Companies are racing to deploy AI agents, but there's a snag. These digital assistants often confidently spout wrong answers, thanks to flaky data.

Companies are pouring money into AI without knowing the real cost. It sounds like a joke, but it's the reality for many tech giants.

Imagine a company hitting the stock market with such a bang it makes everyone else salivate. That's what happened at Nasdaq, and it seems it's just the beginning.

Imagine building amazing AI stuff without spending a fortune or relying on tech giants. It sounds like sci-fi, but it's becoming real, right on your computer.
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When you think of tech giants, you picture endless growth. Turns out, even the big players face tough choices.

Beneath the waves, the sea has never been more interesting for defense. Fincantieri is diving headfirst, boosting its underwater military presence.
Next-gen AI factories are true energy black holes, guzzling power like there's no tomorrow. This forces power companies to rethink their strategies, and fast.
Picture a stock market where companies go public, but without all the usual fanfare. Wayve, known for its self-driving car software, is the first to test this new path in London.

OpenAI and Anthropic showed the way, and Amazon couldn't just stand by. Now the e-commerce giant is shelling out a billion to bring AI directly to businesses.

Some people buy houses, some buy yachts, others buy entire AI companies. Schneider Electric just did, shelling out a hefty sum.

AI guzzles power like a small city, and investors are throwing billions at companies promising to fix it. Tiny problem: the technology usually doesn't exist yet.