Making Sense of Agentic AI: A Strategic Briefing for Materials & Chemistry R&D Leaders

Agentic AI is rapidly reshaping scientific research—and it’s set to redefine how materials and chemistry R&D teams discover, develop, and scale new innovations.

Use Cases of AI in R&D: Materials Discovery and Product Development (Materials Informatics)

Live event held on June 5, 2025 Explore how Artificial Intelligence (AI) is revolutionizing materials…

Next Generation Materials Informatics

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…

Materials Informatics: Artificial Intelligence for Curation of Information and Knowledge Acquisition

As competition in new material development intensifies, the importance of knowledge acquisition to accelerate R&D is increasing. 

Cheat Sheet | Large Language Models+ For Scientific Research

To help scientists and researchers navigate the increasing number of advanced artificial intelligence (AI) options, Enthought’s…

What Every R&D Leader Needs to Know About ChatGPT and LLMs

ChatGPT and the explosion of advanced Large Language Models (LLMs) are disrupting every industry. We are now living in a…

Materials Informatics for Product Development: Deliver Big with Small Data

For many industry labs, scientific data has historically been generated to answer specific, immediate research questions and then archived to protect IP with little attention paid…

Unlocking the Value of High Throughput Screening Pipelines in Small Molecule Drug Discovery

A mid-size small molecule cancer therapeutics biotechnology company using a custom high throughput screening (HTS) platform sought…

Why Top Materials Company Idemitsu Partnered with Enthought to Accelerate Product Innovation using Materials Informatics

Idemitsu’s Path to R&D Digital Transformation Idemitsu has a rich 100 year history of developing products...

Digital Transformation in the Life Sciences Industry

Experts predict over the next two years, life sciences companies will invest over $3 billion in AI, with two-thirds adopting the "intelligent lab of the future" within four years.

Digital Transformation in the Materials Science Industry

Materials and chemical companies know that building a digital “lab of the future” to accelerate discovery and innovation is now essential…

5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab

Despite an increase in digital transformation efforts across all industries, 70% fall short of their objectives.

Optimized Workflows in the Life Sciences

A bioinformatics pipeline is an analysis workflow that takes input data files in unprocessed raw form through a series of transformations…

Active Learning Improves Polymer Formulation Scale-Up Efficiency