Technology teams worldwide have found new ways to leverage machine learning to enable recommendation engines, object detection, voice assistants, fraud detection, and other key use cases. However, the training and deployment of ML models can be expensive and time-consuming.
This eBook from AWS shares practical insights and real-world examples of how you can select and configure the right infrastructure to accelerate the training and deployment of machine learning models for computer vision, fraud detection, natural language processing, and recommendations.
Download now to put your ML use cases into production.
Provided by AWS
-
Cyber attacks are getting quicker and businesses need to plan accordinglyIn-depth Without proactive patch management, businesses are vulnerable to attacks on overlooked weaknesses
-
How the AWS outage unfolded, who it impacted, and what it might costNews Apps and websites impacted by the AWS outage have recovered after a highly disruptive start to the week
-
Nvidia CEO Jensen Huang says future enterprises will employ a ‘combination of humans and digital humans’ – and he’s not the first big tech exec touting an ‘augmented’ AI-powered workforceNews Enterprise workforces of the future will be made up of a "combination of humans and digital humans," according to Nvidia CEO Jensen Huang. But how will humans feel about it?
-
‘I don't think anyone is farther in the enterprise’: Marc Benioff is bullish on Salesforce’s agentic AI lead – and Agentforce 360 will help it stay top of the perchNews Salesforce is leaning on bringing smart agents to customer data to make its platform the easiest option for enterprises
-
This new Microsoft tool lets enterprises track internal AI adoption rates – and even how rival companies are using the technologyNews Microsoft's new Benchmarks feature lets managers track and monitor internal Copilot adoption and usage rates – and even how rival companies are using the tool.
-
Salesforce just launched a new catch-all platform to build enterprise AI agentsNews Businesses will be able to build agents within Slack and manage them with natural language
-
The tech industry is becoming swamped with agentic AI solutions – analysts say that's a serious cause for concernNews “Undifferentiated” AI companies will be the big losers in the wake of a looming market correction
-
Microsoft says 71% of workers have used unapproved AI tools at work – and it’s a trend that enterprises need to crack down onNews Shadow AI is by no means a new trend, but it’s creating significant risks for enterprises
-
Huawei executive says 'we need to embrace AI hallucinations’News Tao Jingwen, director of Huawei’s quality, business process & IT management department, said firms should embrace hallucinations as part and parcel of generative AI.
-
The rise of the UK’s ‘invisible’ AI workforceNews Research from Multiverse shows AI skills are becoming common in non-tech roles
