In today’s R&D organizations, corporate librarians and the data scientists they support are looking to acquire as much AI-ready content as they can for their internal AI workflows, including scientific articles that number in the thousands, and sometimes millions.Â
The information professionals who thrive in 2026 will be those who bridge the gap between AI capability and information integrity while positioning themselves as essential guides during the transition to knowledge automation.Â
AI is transforming research and development by shifting how organizations interact with scientific content — from reading individual documents to loading large datasets for machine-driven analysis.
For R&D and data science professionals, the ability to discover relevant scientific content quickly can determine whether a team accelerates toward innovation or gets bogged down with information overload.
Whether working in medical affairs, clinical affairs, R&D or on competitive intelligence teams, researchers are challenged to find the most relevant content in an ocean of scientific literature. Learn how RightFind Navigate can help you find this information.
Given the volume of new publications and data emerging daily, what proactive approaches can researchers take to stay up to date with new breakthroughs and emerging trends in their area of therapeutic focus?Â
Bryn Williams-Jones covers the limitations early researchers should consider when using generative AI tools, and what researchers should keep in mind when evaluating how to responsibly employ AI functionality.
As regulatory teams write and prepare documents for submission to government agencies and regulatory bodies, it’s important for them to be equipped with the right tools to help them work as efficiently as possible.