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
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...
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...
Join Our Mailing List!
Sign up below to receive email updates including the latest news, insights, and case studies from our team.