Remove ai-llms-and-security-how-to-deal-with-the-new-threats
article thumbnail

A CISO POV: Securing AI in your company

CIO Business Intelligence

In my recent column, I delved into the challenges enterprises face in integrating AI into the workplace and outlined strategies for CISOs to monitor or control the use of AI effectively. The focus was on ensuring safe generative AI practices within organizations. How has AI penetrated the typical enterprise?

article thumbnail

4 hidden risks of your enterprise cloud strategy

CIO Business Intelligence

As enterprise CIOs seek to find the ideal balance between the cloud and on-prem for their IT workloads, they may find themselves dealing with surprises they did not anticipate — ones where the promise of the cloud, and cloud vendors, fall short versus the realities of enterprise IT.

Risk 131
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What Are ChatGPT and Its Friends?

O'Reilly on Data

ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. What is it, how does it work, what can it do, and what are the risks of using it? We all know that ChatGPT is some kind of an AI bot that has conversations (chats).

IT 264
article thumbnail

5 methods to adopt responsible generative AI practice at work

CIO Business Intelligence

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. There are many other different places to quickly start using generative AI, and it’s being incorporated into several tools and platforms your organization may already use.

Modeling 111
article thumbnail

6 generative AI hazards IT leaders should avoid

CIO Business Intelligence

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission.

IT 133