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DX, Life Sciences, Materials Science, Technology, Transformation
Digital Transformation in Practice
There is much more to digital transformation than technology, and a holistic strategy is crucial for the journey.
DX, Life Sciences, Technology, Transformation
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 game-changer.
DX, Materials Science, Technology, Transformation
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 cases that are ready for adoption in research labs today.
DX, Life Sciences, Materials Science, Technology, Transformation
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 towards groundbreaking discoveries.
Life Sciences, Materials Science, Technology, Transformation
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 fabric as part of their technology solution set.
Technology, Training
Jupyter AI Magics Are Not ✨Magic✨
It doesn’t take ✨magic✨ to integrate ChatGPT into your Jupyter workflow. Integrating ChatGPT into your Jupyter workflow doesn’t have to be magic. New tools are seemingly coming out daily to…