Thursday, 12 January 2023
11:00 a.m. EST | 4 p.m. GMT
Drawing insights from massive sets of data with AI can increase productivity, efficiency, and production, while reducing costs. That’s why most digitally forward-thinking companies increasingly incorporate artificial intelligence, machine learning and data analytics into their processes across the R&D pipeline.
To get the most ROI from these AI investments, end users – data scientists, researchers, and information professionals – need the ability to access and interrogate scientific articles as seamlessly as possible. But they often face missing information not found in abstracts, significant time and money investments, and copyright hurdles due to inconsistent rights across publishers.
If you find yourself wondering:
- Can I use articles we’ve purchased online for text mining?
- Do I really need to use full articles, or can I get by on just abstracts?
- How can I gain access to a large corpus of scientific articles to train my AI?
- Is there a way to easily convert PDFs into a machine-readable format?
Join us on Thursday 12 January to get answers to these questions and learn how CCC’s solutions simplify the process of using scientific articles in your AI, machine learning, and text mining projects. Carl Robinson and Garrett Dintaman will give an exclusive look at RightFind XML, share tips and best practices for building an XML corpus and will help you determine what functionality makes sense for your organization.
Learn more about Copyright Clearance Center (CCC): https://www.copyright.com/
Learn more about CCC's RightFind XML: https://www.copyright.com/solutions-rightfind-xml/
Read recent blog posts relates to this webcast:
- 3 Tips to incorporate Full-Text Articles into Your Data Pipeline
- The Value of Open Access in XML Format
- Top 3 Challenges When Using Scientific Articles in AI & Machine Learning Projects