Generative AI | News, how-tos, features, reviews, and videos
Generative AI functionality to help with “expertise mining” is also in the works.
As companies race to add generative models into products and workflows, massive investment to upskill workforces on prompt engineering and ethical AI emerges as a top priority.
The family-owned industrial group grows by an average of up to 20 companies every year and the central IT staff have become experts in migrating them into Microsoft 365 – a cornerstone of the group.
Auto maker Jaguar Land Rover has a long-term plan to transform its product range — but it’s also transforming its internal IT.
With ethical considerations around AI use increasingly top of mind, IT leaders are developing governance frameworks, establishing review boards, and coming to terms with the difficult discussions and decisions ahead.
To help promote insourcing and quality control, Toyota Motor North America is leveraging generative AI for HR and IT service desk requests.
The opportunities to use generative AI will greatly vary for each organization, but the ways it can go wrong are turning out to be fairly universal.
With generative AI, the legal information services giant faces its most formidable disruptor yet. That’s why CTO Jeff Reihl is embracing and enhancing the technology swiftly to keep in front of the competition.
Now Assist, the company’s sub-brand for generative AI features, will soon show up in field service management and help enterprises build their own chatbots.
Building a new large language model (LLM) from scratch can cost a company millions — or even hundreds of millions. But there are several ways to deploy customized LLMs that are faster, easier, and, most importantly, cheaper.