Value-Based Digital Transformation
To form a fully-realizable digital transformation strategy, change must be foundational, iterative, and comprehensive. This means both introducing technology and changing the business ecosystem to capture the value generated by that technology. That includes people – their skills, behaviors, mindsets, and processes. Enthought's holistic approach of transforming people, processes, and technology ensures digital transformation becomes the catalyst for value. It yields market differentiation, accelerating the advancement of innovations and their global impact.
The Intersection of Science and Technology
Enthought has an extensive history of developing transformational digital solutions for enterprise scientific research organizations. We are problem solvers and bring a unique perspective to our customers with our deep understanding the complexities of scientific data and workflows, advanced computing techniques, and business strategy. Our bench of experts are able to uncover new opportunity space that exists at the intersection of the scientific domain and technology, for both the enterprise and the scientist.
Digital Transformation in Practice
Digital transformation is an established trend and the current catchphrase in corporations everywhere. But, while many realize the imperative to change, it’s not always clear precisely what that entails, where to start, how best to implement, and what benefits to expect.
Our Insights
BRIEFING: 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,…
[Resource] 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. Download this book chapter authored by Enthought experts: “Artificial intelligence for curation of information and knowledge.”
What Materials Informatics Looks Like in the Modern R&D Lab
The Modern Materials Science and Chemistry Lab Industry success now more than ever is being dictated by the ability to continuously develop innovative new materials…
Cheat Sheet | Large Language Models+ For Scientific Research
Large Language Models+ For Scientific Research Updated August 2023 LLMs and Tools for R&D To help scientists and researchers navigate the increasing number of advanced…
WEBINAR: What Every R&D Leader Needs to Know About ChatGPT and LLMs
View Webinar-on-Demand Live webinar held on June 27, 2023 Overview ChatGPT and the explosion of advanced Large Language Models (LLMs) are disrupting every industry. We…
WEBINAR: Drug Development in the AI-Driven Lab
October 24, 2023 Overview The recent advancements in artificial intelligence (AI) and large language models have unleashed a new era of possibilities for drug development….
WEBINAR: Materials Informatics for Product Development: Deliver Big with Small Data
May 17, 2023 Overview For many industry labs, scientific data has historically been generated to answer specific, immediate research questions and then archived to protect…
Unlocking the Value of High Throughput Screening Pipelines in Small Molecule Drug Discovery
Transforming High Throughput Screening Data into Actionable Insights with Data Modeling and Visualization A mid-size small molecule cancer therapeutics biotechnology company using a custom high…
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 alongside leading OEMs from project onset, and today is…
[eBook] Digital Transformation in the Life Sciences Industry
The Lab of the Future: Barriers to Digital Transformation in the Life Sciences Industry Experts predict over the next two years, life sciences companies will…
Our Experts
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