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5 ways AI agents will transform the way we work in 2026 – blog.google

5 ways AI agents will transform the way we work in 2026  blog.googleReimagine customer service with CX with ServiceNow  CapgeminiAgentic AI in 2026: More mixed than mainstream  cio.comYour enterprise AI doesn’t need to be bigger; it needs to understand your business  The Economic TimesFrom Dashboards to Decisions: Inside ET CIO’s ‘Data & Analytics in the Agentic Era’  ET CIO

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The scientist who helped create AI says it’s only ‘a matter of time’ before every single job is wiped out—even safer trade jobs like plumbing – Fortune

The scientist who helped create AI says it’s only ‘a matter of time’ before every single job is wiped out—even safer trade jobs like plumbing  FortuneThe surprising truth about AI’s impact on jobs  CNN’Godfather of AI’ reveals which jobs AI will definitely take over: “Matter of time” | – The Times of India  Times of IndiaHigh-paying careers of

The scientist who helped create AI says it’s only ‘a matter of time’ before every single job is wiped out—even safer trade jobs like plumbing – Fortune Read More »

The Com: the growing cybercrime network behind recent Pornhub hack

Criminal ecosystem is made up of mostly male native English language speakers aged from 16 to 25Ransomware hacks, data theft, crypto scams and sextortion cover a broad range of cybercrimes carried out by an equally varied list of assailants.But there is also an English-speaking criminal ecosystem carrying out these activities that defies conventional categorisation. Nonetheless,

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50,000 Copilot licences for Indian service companies

Cognizant, Tata Consultancy Services, Infosys, and Wipro have announced plans to deploy more than 200,000 Microsoft Copilot licenses in their enterprises – over 50,000 per company – in what Microsoft is calling a new benchmark for enterprise-scale adoption of generative AI. The companies involved are framing the move as the implementation of a default tool

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Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context

Google has released T5Gemma 2, a family of open encoder-decoder Transformer checkpoints built by adapting Gemma 3 pretrained weights into an encoder-decoder layout, then continuing pretraining with the UL2 objective. The release is pretrained only, intended for developers to post-train for specific tasks, and Google explicitly notes it is not releasing post-trained or IT checkpoints

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