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NEWSLETTER | August 2024 STRUCTURING DATA AND CONTENT SINCE 1981
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AI Hype to AI Reality in Pharma: 5 Viewpoints from Industry Leaders
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The pharma industry has long been keyed into the excitement about AI. The predictions for its potential impact are staggering. AI tools could generate $60 billion to $110 billion in value for pharma per year thanks to boosts in operating efficiencies, R&D speed and data insights, according to an analysis published by The McKinsey Global Institute in January. Several industry leaders in the pharma space spoke with PharmaVoice to share what excites them about implemening AI in clinical trials, patient outcomes, drug candidate research, and more.
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Ensuring XML Quality and Compatibility in Large Collections That Span Decades
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Mark Gross,
President at DCL, presented a paper at the recent Balisage conference,
highlighting automated solutions useful for fixing large amounts of JATS
and BITS XML and ensuring content is current with the latest DTD and
internally consistent across a collection. XML and related technologies offer the promise of consistent content. However, fulfilling this promise requires careful and ongoing curation. In practice, for large applications such as JATS, there are many users of varying skill levels, with differing understanding of the XML process. With the complicating factor that diverse users may also be using diverse versions of the standard tag set, inconsistencies tend to accumulate as these large document collections grow.
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Structured Content in the Age of AI: The Ticket to the Promised Land?
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Structured content is the ticket to the land where computers do what computers do best and humans do what humans do best. But can structured content become your secret weapon in leveraging AI for business success? Carrie Hane is an established information architect and founder of Tanzen, content strategy consulting and training. In a recent blog post she dives into the power of structured data for fueling innovative AI applications. Carrie defines LLMs, generative AI, and RAG in a way that is easy to understand for non-technical people, making these concepts accessible to non-tech audiences, while exploring practical applications of AI grounded in the proven principles of content structure.
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Think You Know DCL? Technology That Might Surprise You: Automated Table-to-XML Extraction
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While "conversion" is Data Conversion Laboratory's (DCL) middle name, we offer much more than one-off transactional conversions from PDFs to XML (or InDesign, Framemaker, Word, HTML, etc.). DCL employs some serious technology wizards who are skilled at mining, extracting, structuring, enriching, and well... really manipulating content and data in almost any way you can imagine. Read more to learn some details on technology that might be helpful in your organization. |
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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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Create and Deliver Personalized Content to Customers When and Where They Need It
MadCap IXIA CCMS, the leading cloud-enabled component content management system, allows your documentation team to easily create, manage and publish personalized technical content. As an enterprise-class CCMS based on the DITA standard (Darwin Information Typing Architecture), MadCap's solution can be tailored to meet your needs. This open XML-based method of managing and creating technical publications, offers technical writers the ability to create and manage technical documents with ease.
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Replatforming an early DITA implementation
Bill Swallow, Director of Operations at Scriptorium, and Emilie Herman, Director of Publishing at the Financial Accounting Foundation (FAF), shared lessons learned from a DITA implementation project. As the FAF grew as an organization, their content operations evolved into a network of overlapping tools and processes. Eventually, the add-on processes grew to an unsustainable level. After years of working with what they had, their team decided it was time for a change.
[READ MORE]
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A Tale of Two Conversion Houses
In the early 2000s, Electronic Book Web (EBW) was a resource for news coverage, insightful commentary, extensive educational resources, and stimulating community discussion around the burgeoning ebook industry. DCL was thrilled when they recognized our company practices and tenets that still hold true today:
"I will close by mentioning one organization that I believe to be a brilliant example of the smart conversion house in my fairy story. Surf over to Data Conversion Labs’s [sic] website; I promise you will be well-rewarded for your pains. Knowledge and information simply overflow from this site, free for the taking; a far cry from the hype-laden, contentless websites of not a few of DCL’s competitors. While you’re there, peek at employment information on “editorial” positions at DCL—you will find their editorial ladder, and the training system and plant-wide knowledge base that must underlie it, a far cry from untrained HTML jockeys. (Disclaimer: I don’t work for DCL, never have; I’ve never even worked with them except insofar as they participate on the Open eBook Forum. I simply respect them from afar, as I have for a long time.) Data Conversion Labs proves that doing conversion right is not only possible, but profitable. They will outlive the factory houses. They will prosper, and grow fat." [READ THE FULL ARTICLE]
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