Remove ChatGPT Remove Generative AI Remove Systems Review Remove Training
article thumbnail

Getting infrastructure right for generative AI

CIO

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. Infrastructure-intensive or not, generative AI is on the march. of the overall AI server market in 2022 to 36% in 2027. It’s multimodal, but tiny.

article thumbnail

10 most in-demand generative AI skills

CIO

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Going ‘AI native’ with in-house ChatGPT the MITRE way

CIO

Its researchers have long been working with IBM’s Watson AI technology, and so it would come as little surprise that — when OpenAI released ChatGPT based on GPT 3.5 MITREChatGPT, a secure, internally developed version of Microsoft’s OpenAI GPT 4, stands out as the organization’s first major generative AI tool.

ChatGPT 334
article thumbnail

4 steps toward integrating genAI into DevSecOps processes

CIO

With less time lost due to confusion or misunderstandings, DevSecOps teams can devote more of their attention to strategic tasks such as vulnerability remediation. The technology can review code more thoroughly than humans can, identifying patterns that might not seem obvious. Train genAI models on internal data.

article thumbnail

American Honda IT to fuel innovation with generative AI

CIO

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. The ascendent rise of generative AI last year has applied pressure on CIOs across all industries to tap its potential.

article thumbnail

Enterprise IT moves forward — cautiously — with generative AI

CIO

Vince Kellen understands the well-documented limitations of ChatGPT, DALL-E and other generative AI technologies — that answers may not be truthful, generated images may lack compositional integrity, and outputs may be biased — but he’s moving ahead anyway. Generative AI can facilitate that.

article thumbnail

Generative AI is pushing unstructured data to center stage

CIO

Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. Yet IDC says that “master data and transactional data remain the highest percentages of data types processed for AI/ML solutions across geographies.” What’s different now?