Unlocking the Value of Scientific Data
Scientific innovation starts with data, and research labs are sitting on an untapped goldmine. Data need to be in the hands of scientists to allow for rapid iteration and discovery. However R&D data is different, making unlocking its value difficult.
In R&D, working with data is much more labor-intensive than other parts of the business because the data are complex, multimodal, scattered, and siloed. Scientific data includes images, time series, tables, machine-generated binary files, electronic lab notes, and much more. It is continuously being generated by individuals, instruments, third party sources, and secondary analysis. Some data is under management and some is not.
Getting Data Analysis-Ready
Before conducting any analysis, data must first be "analysis-ready." Analysis-ready data is highly curated and highly available data that support specific analytical use cases. In labs lacking the technical infrastructure to readily make their data analysis-ready, scientists and engineers are unnecessarily burdened with spending too much time wrangling their data instead of using it. Time is wasted trying to access data that are locked in data warehouses, data lakes, or other data management systems; setting up their computational environment; waiting for computing resources to be approved or become available; and figuring out how to share their work with colleagues for feedback or get into production. Sound familiar?
Solutions and Tools Purpose-Built for Research
Enthought develops data and workflow solutions that arm scientists with analysis-ready data. While many companies focus purely on the organizational structure of their data, our approach is different. Data management is absolutely critical, however, data stored and newly organized does not mean it’s more usable to achieve ambitious research goals. Our technical solutions are built to amplify value and have saved scientists up to 80% of their time by automating data compilation, accelerating data analysis by 10x, and optimizing workflows to achieve a 3x ROI within 2 years.
Please contact us to discuss how Enthought can help overcome the complex data and workflow challenges in your lab.
Leading Organizations Partner with Enthought
Our Insights
BRIEFING: Next Generation Materials Informatics
JST: Wednesday, October 9, 2024 | 10:00am-10:30am ET: Tuesday, October 8, 2024 | 9:00pm-9:30pm Register (Recording with Japanese subtitles will be shared with registrants) ENTHOUGHT…
[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
Sorry, we couldn't find any posts. Please try a different search.