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
Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. In a November report by HR consultancy Randstad, based on a survey of 12,000 people and 3 million job profiles, demand for AI skills has increased five-fold between 2023 and 2024.
Baker says productivity is one of the main areas of gen AI deployment for the company, which is now available through Office 365, and allows employees to do such tasks as summarize emails, or help with PowerPoint and Excel documents. Registered investment advisors, for example, have to jump over a few hurdles when deploying new technologies.
Agentic AIs, a form of technology designed to run specific functions within an organization without human intervention, are gaining traction as enterprises look to automate business workflows, augment the output of human workers, and derive value from generativeAI.
This post is cowritten with Harrison Hunter is the CTO and co-founder of MaestroQA. They assist with operations such as QA reporting, coaching, workflow automations, and root cause analysis. Carole specializes in dataengineering and holds an array of AWS certifications on a variety of topics including analytics, AI, and security.
In the rush to establish technical strategies for making good on the promise of generativeAI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generativeAI.
OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generativeAI in more ways, but sometimes it’s better not to. But this wasn’t the first time Bing’s AI news added dubious polls to sensitive news stories.
Others agree that increased edge processing will naturally emerge alongside the rollout of AI at large. “As As AI applications proliferate in mission-critical enterprise use cases, some of those AI applications will move to the edge,” says Robert Blumofe, EVP and CTO at distributed cloud computing platform company Akamai.
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