Remove Energy Remove Enterprise Remove Generative AI Remove Machine Learning
article thumbnail

Dairyland powers up for a generative AI edge

CIO

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. Dairyland’s early implementation of AI was a byproduct of its work in Microsoft’s FastTrack program, which saw Dairyland shifting to Dynamics 365 ERP and the Azure cloud.

article thumbnail

Generative AI is pushing unstructured data to center stage

CIO

Unlike that energy company, many organizations have yet to feel an urgency to capitalize on the value of their vast reservoirs of unstructured data. Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. While most of us would see dirt and rock, Rob sees unstructured data.

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

Generative AI is electrifying. Charge ahead or get shocked.

CIO

By Chet Kapoor, Chairman & CEO of DataStax The energy around AI is nothing short of electrifying. A large majority of applications will include AI by 2025, and let’s be honest, you can’t put a price on GPT. Every business today needs an enterprise-ready stack to deliver on the magic that is possible with AI.

article thumbnail

Know before you go: 6 lessons for enterprise GenAI adoption

CIO

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many Here’s a quick read about how enterprises put generative AI to work).

article thumbnail

OctoML raises $85M for it for its machine learning acceleration platform

TechCrunch

OctoML , a Seattle-based startup that helps enterprises optimize and deploy their machine learning models, today announced that it has raised an $85 million Series C round led by Tiger Global Management. “If you make something twice as fast on the same hardware, making use of half the energy, that has an impact at scale.”

article thumbnail

DS Smith sets a single-cloud agenda for sustainability

CIO

In consequence, there is a direct impact on lower energy costs, a reduction in the carbon footprint, decreased production waste costs, and increased utilization of equipment and workforce through data-driven planning and operations management.” 2, machine learning/AI (31%), the packaging company has three use cases in proof of concept.

article thumbnail

Governance for responsible AI: The easy things and the hard ones

CIO

Companies developing and deploying AI solutions need robust governance to ensure they’re used responsibly. Based on a recent DataStax panel discussion, “ Enterprise Governance in a Responsible AI World ,” there are a few hard and easy things organizations should pay attention to when designing governance to ensure the responsible use of AI.