Generative AI systems work best when the information they consume is organized, explicit, and precise. Structured content formats like XML and JSON provide exactly that – content that is machine‑readable, semantically rich, and consistently organized. Document processing is not simply one problem; rather, it comprises three components that must be considered.

DCL and Flatirons help aerospace and defense organizations modernize technical publications and unlock the full value of structured content.

Whether you’re developing AI-driven knowledge tools or simply want to make your organization’s content AI ready, learn how content structure can focus an AI’s attention, improve response quality, and ensure your most valuable information doesn’t get lost in the noise.

Fall of 2007 is the time frame I personally think of as the "birth of ebooks." I know that's not exactly accurate but it is around the time when the first version of the Kindle was released and I became a regular ebook reader. But the truth is, the idea behind ebooks stretches back far earlier than the Kindle era and long before digital screens, file formats, or wireless downloads. In fact, decades before anyone could imagine a portable reading device, one particular visionar

As AI becomes increasingly integrated into all industries, organizations are striving to ensure that the insights generated by AI systems are reliable, accurate, and grounded in truth. Achieving trustworthy AI requires not only robust algorithms but also careful attention to the quality and structure of the information fed into them.

Training sets for large language models (LLMs) is changing how we think about copyright but the law hasn’t quite caught up yet. In this sharp, timely webinar, legal experts unpack the evolving landscape of fair use as it applies to generative AI: What counts as truly “transformative”?