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.

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.

BMJ Group has long been a leader in medical publishing, known for rigorous peer review, global reach, and trusted reputation built on exceptional publishing expertise. The BMJ is ranked among the top medical journals globally and is valued for its editorial integrity and innovation. DCL recently announced that The BMJ has implemented Content Crystallizer , a solution designed to transform manuscripts from Word documents into structured XML through a configurable, automate

If data had weight, 35.3 GB of data would crush you. This amount of data would literally reach the sky.

The EAA strongly impacts publishers. Delving into the details now is crucial for understanding what your organization must do.

Often organizations have the need for ongoing transformation of content.

DCL is transforming much of AMPP’s content into full-text XML, ensuring all content seamlessly flows across multiple channels and platforms.

The 2023 KMWorld Readers' Choice Awards are now open for voting. Knowledge management, or KM, is the multidisciplinary process of...

"Conversion" is our middle name but Data Conversion Laboratory provides many services related to content structure.