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
Stay up to date with the latest Channel industry news and analysis with our twice-weekly newsletter
ITPro is a global business technology website providing the latest news, analysis, and business insight for IT decision-makers. Whether it's cyber security, cloud computing, IT infrastructure, or business strategy, we aim to equip leaders with the data they need to make informed IT investments.
For regular updates delivered to your inbox and social feeds, be sure to sign up to our daily newsletter and follow on us LinkedIn and Twitter.
-
Will autonomous robotics leap forward in 2026?In-depth Connectivity and cost benefits remain barriers, despite breakthroughs in physical AI
-
AWS and NTT Data team up to drive legacy IT modernization in EuropeNews Partnership between AWS and NTT DATA aims to boost AWS European Sovereign Cloud capabilities
-
What the UK's new Centre for AI Measurement means for the future of the industryNews The project, led by the National Physical Laboratory, aims to accelerate the development of secure, transparent, and trustworthy AI technologies
-
Half of agentic AI projects are still stuck at the pilot stage – but that’s not stopping enterprises from ramping up investmentNews Organizations are stymied by issues with security, privacy, and compliance, as well as the technical challenges of managing agents at scale
-
What Anthropic's constitution changes mean for the future of ClaudeNews The developer debates AI consciousness while trying to make Claude chatbot behave better
-
Satya Nadella says a 'telltale sign' of an AI bubble is if it only benefits tech companies – but the technology is now having a huge impact in a range of industriesNews Microsoft CEO Satya Nadella appears confident that the AI market isn’t in the midst of a bubble, but warned widespread adoption outside of the technology industry will be key to calming concerns.
-
Workers are wasting half a day each week fixing AI ‘workslop’News Better staff training and understanding of the technology is needed to cut down on AI workslop
-
Retailers are turning to AI to streamline supply chains and customer experience – and open source options are proving highly popularNews Companies are moving AI projects from pilot to production across the board, with a focus on open-source models and software, as well as agentic and physical AI
-
Microsoft CEO Satya Nadella wants an end to the term ‘AI slop’ and says 2026 will be a ‘pivotal year’ for the technology – but enterprises still need to iron out key lingering issuesNews Microsoft CEO Satya Nadella might want the term "AI slop" shelved in 2026, but businesses will still be dealing with increasing output problems and poor returns.
-
OpenAI says prompt injection attacks are a serious threat for AI browsers – and it’s a problem that’s ‘unlikely to ever be fully solved'News OpenAI details efforts to protect ChatGPT Atlas against prompt injection attacks
