Digital Transformation
Evolve Beyond Technology. Build a Culture of Innovation.
Enthought powers digital transformation for science. We’re not just writing code, we’re partnering with scientists and leaders to rethink how business processes achieve results. Our technology and deep scientific expertise enable faster discovery and continuous innovation. We develop digital talent with specialized training for teams, from scientists to managers, delivering a digitally-enabled workforce that sustains innovation.
Solution Overview
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.



Why Enthought
Enthought brings together scientific understanding with computational excellence. This enables us to uncover the opportunity space that exists at the intersection of the scientific domain and the computational realm, determining the true change required to solve the business problem.
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
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: 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…
[eBook] Digital Transformation in the Materials Science Industry
Building the Materials and Chemicals Lab of the Future Materials and chemical companies know that building a digital “lab of the future” to accelerate discovery…
5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab
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…
[White Paper] Optimized Workflows in the Life Sciences
Optimized Workflows: Towards Reproducible, Extensible and Scalable Bioinformatics Pipelines A bioinformatics pipeline is an analysis workflow that takes input data files in unprocessed raw form…