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MNCs are redesigning their accelerator programmes around business collaboration rather than investment.
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The move aims to address changing enterprise talent needs by helping organisations build future-ready technology talent and manage large-scale workforce transformation.
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As more of the world’s computing, sensing and communications infrastructure shifts into orbit, these data links may prove just as important as the spacecraft travelling on them.
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NVIDIA says the initiative will help AI companies access large-scale computing without waiting for new infrastructure to be built.
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AI has made writing software almost free. But open-source projects still need to review code and rely on an army of volunteer maintainers who find themselves overstretched.
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HCLTech’s six-year contract, which runs until December 2031, includes the transformation and management of the client's global digital workplace and enterprise networks.
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The Bihar government is in the final stages of drafting its own Artificial Intelligence Policy.
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MongoDB believes the next wave of enterprise AI will be driven by better retrieval, lower latency, and greater deployment flexibility
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AI agents are now taking over repetitive work, identifying issues humans may miss, and helping teams maintain testing speed without slowing down releases.
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The right accessibility testing tools help organisations catch issues early, improve usability, and build products that work for users with disabilities and a wider range of people.
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Replacing people with AI doesn’t seem to be that easy to do, if Meta can be seen as an example. Reutersreportsthat at an internal town hall Thursday, CEO Mark Zuckerberg told staff that the pace of AI agent development had not “accelerated in the way” executives had previously expected them to. Earlier this year, Metalaid off some 8,000 employees— approximately 10% of its corporate workforce — and reassigned another 7,000 to various AI groups, including one called Agent Transformation,Bloomberg reported. During this week’s meeting, Zuckerberg apparently commented on these job cuts — noting that they were not as “clean” as they should have been. The cuts were made because top officials at the company “were worried that we weren’t going to move fast enough to adapt” to the changing landscape of the tech industry, Zuckerberg reportedly added. The corporate leader also apparently said that the perceived upside of the new AI-focused company structure hadn’t “come to fruition yet,” although he said that he believed the company would begin to see improvements from its AI investments during the next three to six months. Several other investigative reports have depictedMeta’s months-old AI unit as a soul-crushing gulag,according to some of the engineers assigned to it. Meta has invested heavily in AI and is expected to spend as much as $145 billion on AI infrastructure this year,Reuters reports. TechCrunch reached out to Meta for comment.
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I can’t tell the exact tipping point from realistic excitement over a new technology, to hype, toaww-come-on— but I’m pretty sure when a sandwich shop with Danny DeVito as its public face talks about AI in its IPO documents, we must be getting close. So it is with Jersey Mike’s. Because of investor thirst for all things AI these days, I understand why tech companies feel the need to sprinkle AI dust all over their pitches. This is as true for non-AI startupsraising venture capitalas it is forBending Spoons’ public debut, a company in the business of buying aging, “not-AI” tech companies to rehabilitate. Just for kicks, I took a look at Jersey Mike’s IPO documents to see how far this compulsion may go. Surely a sandwich shop would have no need to mention AI in itsS-1. But lo and behold! The term artificial intelligence and its acronym “AI” were mentioned 22 times. In this case, the company can’t claim to be selling AI software. It sells submarine sandwiches. AI products are what investors are really hungering for (terrible pun intended). Still, it found a way to mention AI in its investor-risk warnings. That may be even more funny. It doesn’t explain what it’s using AI for that could be dangerous to investors, beyond a hand-wave of a phrase, “We are beginning to use AI Technologies in our business.” In all fairness, as a company that operates franchisees, it does rely on software (mentioned 52 times) and data (112 mentions), as all businesses do. Its AI risk warning was boilerplate copy, perhaps even necessary, as such disasters have already happened to other food businesses, likethe half-baked AI inventory toolthat Starbucks rolled out, which couldn’t count and was recently scrapped. Still, I’m going to go out on a limb here and predict that the risk of an AI disaster for a company that produces real-life sandwiches, not AI slop, is about the same as, say, a franchise shop getting hit by lightning. That actuallyhappened, by the way,to a shop in Texas in 2021. Yet weather was only mentioned five times in the S-1. And lightning? Not once.
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