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Google Cloud and Accenture are working together on ajoint unitdedicated to sending engineers into enterprises to help them better adopt Google’s AI tools and services. The new unit, dubbed Accenture Gemini Enterprise Business Group, is Google’s latest foray into theincreasingly competitive worldof “forward-deployed engineers,” or FDEs. Rivals in the AI race, includingOpenAI,Anthropic,MicrosoftandAmazon, have all recently launched separate business units in a bet that implementing AI models can become its own trillion-dollar business. It’s the kind of bet AI companies and hyperscalers increasingly need to make. Hyperscalers are committing hundreds of billions of dollars a year to GPUs, data centers, and power capacity even as the revenue directly attributable to AI remains a fraction of that investment. Google Cloud generated $24.8 billion in the second quarter, a big chunk of which was driven by enterprise AI. But the commitments behind that growth are enormous. Google Cloud’s parent companyAlphabet reportedly accumulated$811 billion in purchase commitments and contractual obligations as of June 30. This return on investment is not yet materializing in the way companies and investors need it to, so everything hinges on whether or not AI companies can create enough demand for their services. But that demand is not guaranteed, as enterprises themselves are struggling to see a true return on investment on their AI spending. It’s conventionally held that enterprises have simply lacked the expertise to intelligently integrate AI tools and services into their workflows in a way that not only saves them money, but helps them make more of it in the long run. That’s where the FDEs come in as a steady, guiding hand that, ideally, possesses the perfect mental cocktail of business acumen and agentic AI prowess needed to change everything. As part of its deal with Accenture, Google will train up to 1,000 of the consultancy firm’s FDEs to work with enterprises and build custom AI applications on the Gemini Enterprise platform. According toAugust data from Ramp, Google accounts for roughly 6% of enterprise AI spending among U.S. businesses, compared to Anthropic’s 43.5% and OpenAI’s 39.7%. Google’s new unit with Accenture, whichThe Wall Street Journalfirst reported, is the latest of its aggressive expansions of its FDE model this year as it attempts to resolve enterprise deployment bottlenecks and catch up to rivals. Earlier this year, Google Cloud launched a$750 million partner ecosystemcommitment that embedded Google’s own FDEs across multiple consultancies, including Capgemini, Cognizant and Deloitte. The tech giant also struck amulti-year partnership with CVCCapital Partners to deploy FDEs directly into the investment firm’s portfolio companies. Google isn’t the only giant at risk of being outpaced by newer firms. Companies that are dedicated specifically to embedding engineers into businesses to build bespoke AI workflows — like Ode with Anthropic, or OpenAI’s The Deployment Co. — threaten big consultancy firms like Accenture as well. For the professional services giant, the Google tie-up adds to its own wave of FDE programs this year, which include a similarMicrosoft FDE practice in March, anFDE initiative with ServiceNowin May, and ajoint program with SAPin June.
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The new infrastructure will support post-flight inspection, requalification and faster production of critical launch vehicle components.
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Instead of making students spend years learning increasingly fragmented technologies, he wants them to enter the real world earlier, understand businesses and work on actual problems.
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Tristan Buckmaster says OpenAI began pursuing an internal proof of finite-time blow-up for forced Navier–Stokes after learning about his work with Anthropic researcher Levent Alpöge.
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The company said the funding will expand its frontier AI research, increase compute capacity to train models, scale infrastructure, and support its commercial growth and international expansion.
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Agentic AI Engineers recorded the highest growth among emerging technology roles tracked by CIEL HR.
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“We are living in an energy crisis. It would be insane to just let landfill sit somewhere occupying space and generating pollutants when you could extract value from it.”
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Databricks says the next enterprise AI advantage will come from how well companies connect powerful models to their data, workflows and business goals.
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The 70,000 sq ft facility will manufacture precision gearing for aerospace and defence programmes, from development through serial production.
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GalaxEye’s patented technology addresses a fundamental challenge in Earth observation
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The ministry said this dependence involves recurring licensing costs and reliance on external vendors for updates and technical support
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“We are living in an energy crisis. It would be insane to just let landfill sit somewhere occupying space and generating pollutants when you could extract value from it.”
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