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.
Provided by AWS
-
Replacing workers with AI? You may come to regret itNews New research from Gartner suggests that poor workforce planning means many companies will up rehiring staff
-
The Binance hack explainedNews Initial reports that a single compromised laptop was the cause of the Binance hack have been debunked by the crypto exchange firm
-
‘AI’s price tag is starting to shape its path through the enterprise’: 89% of enterprises have scaled back AI deployments over token costs – and they’re still struggling to track spendingNews Volatile token costs across 2026 have caused major headaches for IT leaders
-
Microsoft wants to tackle the biggest issue for UK AI adoption: confidenceNews UK and Ireland CEO Darren Hardman says it's our responsibility to get AI into every corner of the UK
-
Huawei is positioning itself as a viable alternative to big US tech companies. Can it pull it off?Opinion With Nvidia and AMD excluded from the Chinese AI market, Huawei is building a powerful reputation at home and abroad
-
“Enterprises are becoming much more rigorous about the economics of AI”: Snowflake wants to help you cut AI costs by choosing the right model for the right taskNews New dynamic model routing capabilities aim to help customers box clever when it comes to their AI model choice
-
Microsoft has joined the growing list of companies cracking down on ‘tokenmaxxing’News The company is updating internal guidance to reduce rising costs
-
‘AI cost management has the same problems that cloud had’: Enterprises are still facing huge AI bills thanks to ‘tokenmaxxing’ – that means FinOps practices are more important than everNews With firms facing surging AI bills, FinOps techniques are more important than ever
-
‘We are now seeing MAI models outperform general-purpose frontier models’: Microsoft CEO Satya Nadella touts in-house models to cut spiralling AI costs – and reduce growing reliance on frontier labsNews The Microsoft chief says pricey frontier models don't have to be used for every task, and its own in-house MAI models could be the key to reducing costs.
-
3 ways to get your data AI-readySponsored Data placement, preparation, and orchestration make or break an AI project – and the Dell AI Data Platform reduces the strain on enterprise IT teams across both storage and the data foundation
