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
-
IBM targets data center efficiency gains with new z17 and LinuxONE offeringsNews Cost, data center footprint, and performance improvements are coming for IBM Z and LinuxONE customers
-
Databarracks expands business resilience services with Acumen acquisitionNews The deal brings more than 100 business continuity customers into Databarracks' managed resilience offering
-
‘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
-
IT leaders are being stung by "unexpected" AI costsNews The growing costs associated with AI are hitting organizations large and small
-
'Botsitting' is destroying productivity as workers spend nearly a full day each week making AI 'usable'News While workers are reporting productivity improvements, ‘botsitting’ means these are often negated
-
'Most enterprises are still unprepared to operationalize it': IT leaders are bullish on agents, but keeping falling at the final hurdle – here's whyNews Forrester points to challenges scaling agentic AI, saying companies start rolling out the tech before they're ready to scale
-
‘Chat is dead’: OpenAI plots ChatGPT ‘super app’ overhaul ahead of public listing – with agents and coding tools the new focusNews The company looks set to spruce up ChatGPT with a particular focus on agents to drive subscriptions
-
Uber’s eye-watering AI bill shows enterprises are ‘still measuring AI success through consumption rather than outcomes’ – and it's warping our perception of ROI and productivityNews ‘Tokenmaxxing’ might pad the stats, but it’s a trend that could come back to haunt enterprises
-
Destination AI: Una partnership affidabile per superare gli ostacoli e gettare le basi per la crescita futuraSponsored Con l'accelerazione dell'adozione dell''AI aziendale, i partner IT devono spostare la loro attenzione dall'hype tecnologico ai risultati aziendali tangibili, sfruttando ecosistemi strutturati per promuovere la monetizzazione a lungo termine
