This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
This could be the year agentic AI hits the big time, with many enterprises looking to find value-added use cases. A key question: Which business processes are actually suitable for agentic AI? Customer service: A target agentic AI use case One area that might be ideal for agentic AI is customer service.
GenerativeAI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either.
Battle joined JLR as group chief digital and information officer in February 2022, after a long career managing IT for a succession of oil companies. We’re not short of generous opportunities afforded by our strategic suppliers and vendors,” says Battle, wryly. There’s demand for it, too. But we’ll do it in a measured way.”
You might want to check out the Cloud Security Alliances new white paper AI Organizational Responsibilities: AI Tools and Applications. Each of those three areas is analyzed according to six areas of responsibility for teams deploying AI systems: Evaluation criteria : To assess AI risks, organizations need quantifiable metrics.
The AI agent will download it, try to build it, and if it doesnt run, itll fix the build scripts and code if necessary, check the code back into the repository, and flag it was done by an AI agent, he says. Gaskell expects to see up to 45% improvement in margins by mid 2025. We cant do that for security reasons, he says.
AI everywhere: Transforming procurement Weve entered the era of AI everywhere, where generativeAI (GenAI) technologies are transforming the way businesses operate. From streamlining workflows to uncovering actionable insights, these advancements are reshaping software sourcing and vendormanagement.
We organize all of the trending information in your field so you don't have to. Join 49,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content