Accelerate machine learning innovation with the right cloud services and infrastructure
Easily prepare data, and build, train, and deploy machine learning applications


Machine learning (ML) is transforming industries. The barriers to widespread use of ML are rapidly disappearing thanks to the cloud.
The cloud brings together data, low-cost storage, security, and ML services along with the high-performance CPU- and GPU-based compute instances that are essential to ML success.
As the barriers come down, business can add conversational AI, computer vision, document processing, and personalized recommendations, and more to their applications.
Download this eBook from AWS and discover how you can build on a solid foundation for machine learning success.
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Is the honeymoon period over for Microsoft and OpenAI? Strained relations and deals with competitors spell trouble for the partnership that transformed the AI industry
Analysis Microsoft and OpenAI are slowly drifting apart as both forge closer ties with respective rivals and reevaluate their long-running partnership.
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Box reveals new AI capabilities at BoxWorks 2025
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Large enterprises could be wavering on AI adoption
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Businesses are being taken for fools with AI agents
Opinion AI agents are still not very good at their 'jobs', or at least pretty terrible at producing returns on investment – yet businesses are still buying into the hype.
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Google boasts that a single Gemini prompt uses roughly the same energy as a basic search – but that’s not painting the full picture
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Salesforce CEO Marc Benioff says the company has cut 4,000 customer support staff for AI agents so far
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This Stanford study shows AI is starting to take jobs – and those identified as highest risk are eerily similar to a recent Microsoft study
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