Ron Miller

Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.

photo of Dappier is building a marketplace for publishers to sell their content to LLM builders image When Napster emerged in the late 1990s, it made it easy for people to grab music files without compensating the content owners.The iPod and the iTunes music store changed that by allowing artists or publishers to get paid for reusing their content in a digital context. Fast forward to today, and there are…

By now we know how crucial it is to have quality data for use by large language models (LLMs), but getting data ready for the models has been an

If data is truly the fuel for generative AI, and one of the keys to a successful implementation is access to data meaningful to running the business, it

photo of ServiceNow’s generative AI solutions are taking advantage of the data on its own platform image One of the earlier SaaS adherents to generative AI has been ServiceNow, which has been able to take advantage of the data in its own platform to help build more business-centric models. © 2024 TechCrunch. All rights reserved. For personal use only.

JPMorgan Chase CIO deals with enormous scale Lori Beer, global CIO at JPMorgan Chase, oversees a massive IT operation that's bigger than many companies.

HerculesAI was working with LLMs before it was cool, but when ChatGPT hit in late 2022, it was in the right place at the right time.

GenAI is everywhere these days, but Amazon Web Services has been perceived in some circles as being late to the game . In reality it's still early, and the market is still shaking out.

Kandji, a five year old Apple device management startup, continues to execute and announced a new $100M round.

Didero is using AI to help mid-market companies streamline procurement, who lack the resources to run enterprise solutions.