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.
-
How to lower your AI costs: 3 ways the NVIDIA-powered Dell Pro Max with GB10 and GB300 offer an alternative to token-maxxingSponsored Local AI capabilities through the Dell Pro Max series could be the key to tackling surging token consumption rates
-
Clunky workplace tech is ruining meetings and impacting productivityNews It's not just you: IT leaders say valuable time is being lost every week
-
“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
-
‘A company should be able to use a model without giving up the knowledge that makes it unique’: Microsoft CEO Satya Nadella says enterprises shouldn’t be sharing so much data with AI providersNews The Microsoft chief warned that corporate data could be at risk thanks to AI models
-
‘What we’re seeing right now is just rapid escalation in AI token spend’: Accenture tells staff to stop using AI for unnecessary tasks amid surging costsNews Accenture has told some staff to roll back the use of AI for basic tasks while the consultancy grapples with surging AI token costs.
-
‘The claims in the suit are false’: Workday hits back amid lawsuit claiming AI recruitment discriminationNews Is AI hiring discriminatory? A California judge has given the go-ahead for a class action suit against Workday