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NEWSLETTER | January 2026 STRUCTURING DATA AND CONTENT SINCE 1981
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Trustworthy AI: Optimizing Content for Large Language Models |
To make AI useful in the real world, you need to trust that you're getting the truth and that the results have validity. Trustworthy AI is the strategic target for every organization striving to turn information into intelligence. Achieving this goal starts with well-structured, high-quality content that provides a reliable foundation for reasoning and response. As large language models (LLMs) continue to evolve, their ability to handle vast amounts of information has expanded dramatically. Early LLM models were limited to 2,048 tokens (approximately 1,500 words). Today’s modern systems boast context windows of up to two million tokens. But…bigger isn’t always better. |
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Making Math Count for Everyone |
People with visual difficulties are at a disadvantage in many areas, particularly in math, which relies on the visual appearance of large equations. The Author Guidelines for Preparing Accessible Math Content represent a major step forward in making advanced mathematical research truly inclusive and discoverable. Developed collaboratively by leading scholarly societies—the Society for Industrial and Applied Mathematics (SIAM), American Mathematical Society (AMS), European Mathematical Society (EMS), and London Mathematical Society (LMS)—these guidelines help authors create math content that is compliant with modern accessibility standards. They provide practical instructions for explaining complex figures, embedding informative alt text, and preparing born-accessible manuscripts, reducing barriers for readers who use screen readers or other assistive technologies. As accessibility regulations tighten globally under mandates like the EAA and updates to the ADA, adopting these guidelines ensures that scholarly work is not only legally compliant but also equitable, widening the reach and impact of research across the global academic community. |
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Technical Debt: Fast Futures Built on Fragile Foundations |
Between shifting global dynamics and the rush to operationalize AI, companies are under pressure to move faster, yet their own aging systems are often the biggest obstacle. Technical debt comprises the backlog of legacy code, brittle systems, and rushed fixes that have built up over years in organizational technology systems. IDC reports that spending on digital transformation is projected to reach almost $4 trillion worldwide by 2028. In this rush to evolve, companies are seeing that each line of code in their business holds not only the possibility of innovation but also technical debt that slows progress. |
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DCL Bytes: How to Merge Content and Workflows After an Acquisition |
DCL Bytes is part of the DCL Learning Series and features short, informative clips on technology, structured content, and more. In this short, CompTIA's Becky Mann discusses the cooperation required between two of CompTIA's departments with vastly dissimilar content creation processes, as well as the uniqueness of learning and certification content. |
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AWS Publishing Symposium - February 10 | New York, NY DCL's Mark Gross is attending
To compete in the agentic AI era, publishers need to innovate and develop new workflows, products, and user engagement strategies. AWS Publishing Symposium presents success stories from leaders who have solved for challenges in a rapidly evolving media landscape - offering actionable insights around AI strategy, personalization, content monetization, and ad tech operations. [LEARN MORE]
JATS-Con 2026 - February 16 | Baltimore, MD DCL's Mark Gross is presenting
JATS-Con is a conference for anyone who uses, or is interested in learning about, the Journal Article Tag Suite (JATS), an XML format for marking up and exchanging journal content. JATS is an ANSI/NISO standard and is formally designated as ANSI/NISO Z39.96. [LEARN MORE]
NISO Plus 2026 - February 17 to 18 | Baltimore, MD DCL is sponsoring
The NISO Plus conference brings people together from across the global information community to share updates and participate in conversations about our shared challenges and opportunities. The focus is on identifying concrete next steps to improve information flow and interoperability and to help solve existing and potential future problems. [LEARN MORE] |
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DCL partners with many global organizations that complement our services and offer a complete workflow solution to our customers. Following are some recent highlights from DCL's Partnership Laboratory. |
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A guide to better content in the new year As everyone emerges from the holiday haze and shuffles into the new year, many teams are riding high on optimism. Fresh planners. Fresh goals. Fresh energy. Meanwhile, at Content Rules, we’re entering January with a very different vibe – the practical kind. The “I’ve seen enough content chaos to know better” kind. Because while the rest of the world is saying “New Year, New Me,” your content is probably whispering: "New Year… same problems.”
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REPORT: 2026 publishing tech trends
Silverchair & Hum recently released their 2026 Publishing Tech Trends Report, offering an inside look at how scholarly and professional publishers are preparing for the coming year. Now in its fifth year, the report draws on insights from senior publishing leaders, technologists, and strategists across the industry to examine the technologies and decisions reshaping publishing operations, discovery, and business models. This year’s findings highlight a clear shift: publishers are moving beyond experimentation toward practical, scalable applications of AI, data, and automation that deliver measurable value.
[DOWNLOAD THE REPORT] |
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A letter from the President's Desk - June 1997
In June 1997, Mark Gross, President of Data Conversion Laboratory, wrote a letter to welcome visitors to the company's first website. Nearly three decades later, its message still resonates and is proof that while technology evolves, the fundamentals endure.
You're about to make a major investment in a new system. Or perhaps you've already made the transition. The new system is everything you'd hoped for - and more. But there's still one major hurdle to overcome... ...Converting your old documents to the new format. In-house capability is not up to the task. Off-the-shelf conversion software cannot possibly yield the sort of high-value results you require... Not to mention the thousands (or tens of thousands) of pages of virtually inaccessible hard copy which are collecting dust and taking up valuable space.
Plenty of services claim they can do the job quickly and inexpensively... ...But you're uncomfortable. The horror stories are common knowledge. Bungled conversions. Incorrect data entry. Incompatible style sheets. Fortunes wasted in time and money. Which is why you should know about Data Conversion Laboratory. [READ MORE] |
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