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