Agile Digital Transformation Podcast: Alex Chabot-Leclerc and Unlocking the potential of AI in R&D
Tim Butara of the Agile Digital Transformation podcast discussed the power of AI in R&D with Enthought’s Dr. Alex Chabot-Leclerc. They discuss how R&D can tap into the power of new AI technologies in order to stay on the cutting edge of innovation, focusing on how R&D jobs will be impacted and how organizations can support their people to become digitally enabled and future-forward.
Listen to the podcast here. Transcript is also provided.
Additional resources about AI and ML in scientific research here.
Related Content
Leveraging AI for More Efficient Research in BioPharma
In the rapidly-evolving landscape of drug discovery and development, traditional approaches to R&D in biopharma are no longer sufficient. Artificial intelligence (AI) continues to be a...
Utilizing LLMs Today in Industrial Materials and Chemical R&D
Leveraging large language models (LLMs) in materials science and chemical R&D isn't just a speculative venture for some AI future. There are two primary use...
Top 10 AI Concepts Every Scientific R&D Leader Should Know
R&D leaders and scientists need a working understanding of key AI concepts so they can more effectively develop future-forward data strategies and lead the charge...
Why A Data Fabric is Essential for Modern R&D
Scattered and siloed data is one of the top challenges slowing down scientific discovery and innovation today. What every R&D organization needs is a data...
Jupyter AI Magics Are Not ✨Magic✨
It doesn’t take ✨magic✨ to integrate ChatGPT into your Jupyter workflow. Integrating ChatGPT into your Jupyter workflow doesn’t have to be magic. New tools are…
Top 5 Takeaways from the American Chemical Society (ACS) 2023 Fall Meeting: R&D Data, Generative AI and More
By Mike Heiber, Ph.D., Materials Informatics Manager Enthought, Materials Science Solutions The American Chemical Society (ACS) is a premier scientific organization with members all over…
Real Scientists Make Their Own Tools
There’s a long history of scientists who built new tools to enable their discoveries. Tycho Brahe built a quadrant that allowed him to observe the…
How IT Contributes to Successful Science
With the increasing importance of AI and machine learning in science and engineering, it is critical that the leadership of R&D and IT groups at...
From Data to Discovery: Exploring the Potential of Generative Models in Materials Informatics Solutions
Generative models can be used in many more areas than just language generation, with one particularly promising area: molecule generation for chemical product development.
7 Pro-Tips for Scientists: Using LLMs to Write Code
Scientists gain superpowers when they learn to program. Programming makes answering whole classes of questions easy and new classes of questions become possible to answer….