View Webinar-on-Demand
Live webinar held on October 9, 2024 JST
The original event was presented to a Japanese audience. While parts are in Japanese, Dr. Michael Connell presented the main presentation in English. This on-demand recording of the event includes Japanese subtitles for Dr. Connell's talk.
Enthought helps companies all over the world solve complex data challenges unique to enterprise scientific R&D by leveraging advanced technologies that accelerate innovation and transform the business. We bring an unparalleled blend of expertise and experience in advanced AI/ML techniques, scientific research and data, and business strategy. Enthought is headquartered in Austin, Texas, USA with additional offices in Tokyo, Japan; Cambridge, United Kingdom; and Zürich, Switzerland.
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...
Join Our Mailing List!
Sign up below to receive email updates including the latest news, insights, and case studies from our team.