From 15 weeks to 10 minutes: Novo Nordisk now drafts clinical study reports with AI. Posts like this are common these days! What we don’t hear enough about is the rigorous planning and testing that goes into creating a controlled, repeatable solution. There was a lot of groundwork by the
The main challenge most organizations must solve is how to incorporate proprietary enterprise content — your intellectual property — into AI solutions. General-purpose AI models don’t know your business content and your IT and security teams are working hard to keep it that way.
Almost daily, I have conversations with content leaders struggling to solve complex challenges in their organizations. They’re trying to help employees find critical information scattered across multiple systems, scale content creation without ballooning costs, measure the business impact of their content investments, and ensure consistency across thousands of content assets.
Ain’t that the truth? When projects are easy, inexpensive, and quick they are likely to get done. Even tasks that might not be so important have a chance.
The main gist of the article is large AI companies including OpenAI, Google, and Meta are running out of training content for their AI engines. Before we talk about what they did next, let’s think about the implications of this.
Artificial intelligence (AI) used to be something we thought about as a future need or threat. Just a couple of years ago, the impact of AI on our daily lives was indirect. Companies employed AI systems that ran behind a user interface. Even though we have interacted with AI for
AI systems require big quantities of curated content to be really effective. Training an AI system with structured content produces more accurate results.
Recently, I was working through some challenges with a custom schema that supports the structured content model for one of my pharma customers. I needed to take an existing document and lay it out with both the old schema and the new schema and make sure all the proposed changes
Ahh, AI. The promised future coming to fruition within the little screens we interact with on a daily basis. Though we assumed artificial intelligence would come in the form of apron wearing robots like the ones in the Jetsons, AI comes to us in more practical forms with the same
Earlier this year, I took a course on artificial intelligence taught at the Executive Education division of the UC Berkeley Haas School of Management. The course was primarily focused on AI business strategies and applications.