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.
To future-proof investment towards these goals, organizations must consider federated systems that:
- Integrate with their informatics landscape and support high value workflows
- Facilitate the generation and management of high quality, FAIR data for machine and human access
- Provide decision-support interfaces that enable access to assembled data and seamless collaboration
Join leading professionals as they demonstrate and discuss:
- Strategic generation of data using high throughput experimentation (HTE) and cutting-edge technologies
- Application of Bayesian optimization to predict the outcomes of HT chemistry
- Systems, tools, and informatics capabilities necessary to support modern R&D
Event Agenda
9:00–9:05
Welcome & Housekeeping
9:05–09:35
Enabling AI and Dataset Production across the Chemistry Enterprise at BMS
Jason Stevens, Associate Scientific Director, BMS
Kristine Golden, Scientist, BMS
09:40–10:10
Systems & Capabilities that Facilitate Digitalization & AI-Ready Data
Alex Waked, Application Scientist, ACD/Labs
10:15–10:45
FAIR Data & Decision Support Interfaces for Scientists
Joe DiMartino, Solution Area Manager—Luminata, ACD/Labs
Hosted By
Sanji Bhal
Director, Marketing Communications ACD/Labs