In The Unique Challenges of Pharma Content, we discuss challenges faced by pharmaceutical companies in the creation and management of content.
Most content challenges are ubiquitous, present in every vertical. Processes that don’t scale. Too much content to manage and yet the exact right content never seems to be at hand. Authors must copy and paste and (inevitably) tweak content, wasting time and increasing risk. The challenges of time, cost, and
For centuries, humans have shared information through documents. We’ve used digital files, printed paper, illuminated manuscripts, parchment scrolls, and clay tablets. Regardless of form factor, a document has traditionally been created as a single monolithic entity, authored in the same format in which it was intended to be consumed.
The COVID-19 pandemic put tremendous pressure on drug-development organizations to accelerate product development far beyond anyone’s wildest roadmaps.
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
A reuse map is a blueprint for planned content reuse. Planned content reuse means that you identify ahead of time exactly which pieces of content will be reused in a specific output.
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.
Efforts without tools do not work. Efforts are just that. Best intentions. And while we all have the best intentions, we also have full-time jobs. This is why we have tools. To make things efficient and consistent.
I recently finished a great course on artificial intelligence offered by the UC Berkeley Haas School of Management. It was an eight week course that was mostly directed at the business of AI, rather than coding or technology. Really good stuff.