R&D organizations are focused on digitalizing workflows, automating processes, and making data available to AI/ML. The goal is to accelerate innovation and speed the commercialization of new molecular entities. Implementation of the right capabilities and systems, however, can be a challenge.
Hear about the technologies and processes being implemented for successful workflow digitalization, and generation of AI-ready data from scientists and leaders in the industry.
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Enabling AI and Dataset Production across the Chemistry Enterprise at BMS
Scientist Kristine Golden discusses the use of high throughput experimentation (HTE) and Katalyst D2D software to generate high quality data for ML and AI models.
Watch NowSystems & Capabilities that Facilitate Digitalization & AI-Ready Data
Browser-based software for analytical data processing and interpretation, high throughput chemistry workflows, and automation of analytical and chemical processes.
Watch NowFAIR Data & Decision Support Interfaces for Scientists
FAIR analytical and chemical data to support collaborative R&D; digital twins for workflow decision-support.
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