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
Reshaping Materials R&D: Navigating Margin Pressure in the Specialty Chemicals Industry
The era of the AI Co-Scientist is here. How is your organization preparing?
The Emergence of the AI Co-Scientist
The era of the AI Co-Scientist is here. How is your organization preparing?
Understanding Surrogate Models in Scientific R&D
Surrogate models are reshaping R&D by making research faster, more cost-effective, and more sustainable.
R&D Innovation in 2025
As we step into 2025, R&D organizations are bracing for another year of rapid-pace, transformative shifts.
Revolutionizing Materials R&D with “AI Supermodels”
Learn how AI Supermodels are allowing for faster, more accurate predictions with far fewer data points.
What to Look for in a Technology Partner for R&D
In today’s competitive R&D landscape, selecting the right technology partner is one of the most critical decisions your organization can make.
Digital Transformation vs. Digital Enhancement: A Starting Decision Framework for Technology Initiatives in R&D
Leveraging advanced technology like generative AI through digital transformation (not digital enhancement) is how to get the biggest returns in scientific R&D.
Digital Transformation in Practice
There is much more to digital transformation than technology, and a holistic strategy is crucial for the journey.
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...