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
-
Microsoft says these 10 jobs are at highest risk of being upended by AI – but experts say there's nothing to worry about yetNews Microsoft thinks AI is going to destroy jobs across a range of industries – while experts aren't fully convinced, maybe it's time to start preparing.
-
Workers view agents as ‘important teammates’ – but the prospect of an AI 'boss' is a step too farNews Workers are comfortable working alongside AI agents, according to research from Workday, but the prospect of having an AI 'boss' is a step too far.
-
OpenAI thought it hit a home run with GPT-5 – users weren't so keenNews It’s been a tough week for OpenAI after facing criticism from users and researchers
-
DeepMind CEO Demis Hassabis thinks Meta's multi-billion dollar hiring spree shows it's scrambling to catch up in the AI raceNews DeepMind CEO Demis Hassabis thinks Meta's multi-billion dollar hiring spree is "rational" given the company's current position in the generative AI space.
-
Mistral's new sustainability tracker tool shows the impact AI has on the environment – and it makes for sober readingNews The training phase for Mistral's Large 2 model was equal to the yearly consumption of over 5,o00 French citizens.
-
VC investment in AI is skyrocketing – funding in the first half of 2025 was more than the whole of last year, says EYNews The average AI deal size is growing as VCs turn their attention to later-stage companies
-
The Replit vibe coding incident gives us a glimpse into why developers are still wary of AI coding assistantsNews Recent vibe coding snafus highlight the risks of AI coding assistants
-
Researchers tested over 100 leading AI models on coding tasks — nearly half produced glaring security flawsNews AI models large and small were found to introduce cross-site scripting errors and seriously struggle with secure Java generation
