| |
|
|
|
|
NEWSLETTER | December 2023 STRUCTURING DATA AND CONTENT SINCE 1981
|
|
|
|
|
|
|
|
|
|
From All of Us at DCL, Here's to a Wonderful New Year
|
In the spirit of unity and goodwill, we wish you peace and good health that endures throughout the coming year. May the end of 2023 be a time of reflection, gratitude, and connection with those who matter most to you. As we look forward to the opportunities and challenges that the new year may bring, we express our sincere appreciation for your continued partnership and trust in our business. It is our pleasure to serve you, and we eagerly anticipate another year of shared success.
|
|
|
|
|
|
Legal Implications in the Brave New AI World: Copyright Infringement and Training Sets
|
Keeping up with the many legal implications in our post-ChatGPT world is increasingly challenging. Stories abound with legal suits filed against OpenAI, Meta, and others for training AI models with copyrighted content. In this lunch and learn discussion, Mark Gross, President of Data Conversion Laboratory, and his son Daniel Gross, Partner at Myers Wolin, LLC, discuss the legal implications we are seeing in this brave new AI world. Watch the on-demand webinar at your convenience and feel free to let us know how you are navigating the evolving copyright landscape being impacted by AI.
|
|
|
|
|
|
Join the Society for Scholarly Publishing's Community of Interest (CoIN): AI in Scholarly Publishing
|
The AI in Scholarly Publishing CoIN is a place to learn and share resources and best practices in terms of how AI technologies are being used in the scholarly publishing industry. This will be a hub for cutting-edge discussions and connections led by Dr. Chhavi Chauhan and Chriag Jay Patel. The CoIN is open to all and you do not need to be an expert to join. Your voice matters; please sign up and help amplify the conversation on AI in publishing.
|
|
|
|
|
|
Merriam-Webster's Word of the Year for 2023: Authentic
|
According to Merriam-Webster, America's oldest dictionary, the word of the year for 2023 is authentic. Lookups for the word increased substantially this past year and were likely due to conversations discussing AI, identity, social media, and celebrity culture. Merriam-Webster states, "authentic has a number of meaning including 'not false or imitation,' a synonym of real and actual; and also 'true to one's own personality, spirit, or character.'" Other words that stood out in the dictionary's data for 2023 lookups include rizz, deepfake, coronation, dystopian, implode, doppelgänger, and others.
|
|
|
|
|
|
ChatGPT Turned One on November 30th
|
On November 30th, ChatGPT celebrated its first birthday. It's hard to pinpoint another technology that impacted so many industries with such swiftness. DCL's Marianne Calilhanna wished the LLM a happy birthday and asked ChatGPT a question about this milestone:
MC: happy birthday ChatGPT: Thank you! It's been a year filled with conversations, questions, and learning. How can I assist you today? MC: You are 1 year old today. Where do you see yourself in 15 years? |
|
|
|
|
|
|
|
|
|
|
|
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. |
|
Making Biopharma AI-Ready: Creating Scientific Data for Analytical Development The pharmaceutical industry is experiencing a surge in scientific data due to the growing complexity of new therapeutic modalities and the urgency to bring improved therapeutics to market more efficiently. However, this valuable scientific data is often trapped in on-premise instrument control and acquisition software, compounded by the challenge of dealing with diverse vendor-specific data formats, thus inhibiting the potential of AI. This webinar explores a use case involving a leading pharmaceutical company that aims to provide its scientists and engineers with analytics and AI-ready data across multiple laboratories, departments, and facilities.
|
|
|
|
|
|
Food for Thought: What Are We Feeding LLMs, and How Will this Impact Humanity?
Artificial intelligence and large language models have the potential to change, even disrupt, every aspect of scholarly publishing, from how infrastructure and platforms are developed to how content is discovered, used, and licensed. In the Scholarly Kitchen, Silverchair’s CTO Stuart Leitch summarized his Platform Strategies 2023 opening keynote, “AI in Scholarly Publishing,” offering a conceptual overview of the technologies and a view of how our industry fits in.
[READ MORE] |
|
|
|
|
|
Brand New Data on Technical Content Trends by Zoomin
The tech comm industry underwent massive shifts in 2023. Almost every company is now assessing how GenAI will impact the way we author, publish, deliver and consume content. Against this backdrop of innovation, Zoomin created The Top 10 Trends in Technical Content in 2023 Report. We share the key trends in techcomm, from the emergence of AI to the democratization of content authoring and more, to give you the insights you need to compare performance, prioritize investment and drive meaningful strategies.
[READ THE REPORT]
|
|
|
|
|
|
DCL Announces Pre-Conversion Planning Service in 1996
It may sound obvious to plan prior to a legacy conversion---it is a key component to ensure no surprises during or after the conversion process. Yet prior to May 1996, this formal process was not a typical step in a large-scale SGML conversion projects! DCL formalized its pre-conversion planning service and tasks done during this phase, included: - Review of the DTD where applicable
- Review a large volume of input materials to generate a catalog of difficult issues
- List data items needed in the target conversion that don't exist in the source materials
- Correlate the DTD with legacy data to identify variations
- Prepare an issues analysis chart
- Prepare a preliminary conversion strategy report with alternatives
This methodology and commitment to detail is why DCL continues to be the industry leader in XML conversion services.
[LEARN MORE]
|
|
|
|
|
|
|
|
|
|
|
|
|
