Employees often have wide-ranging responsibilities, it's cost-prohibitive to maintain an extensive software portfolio, and research priorities can change quickly making it hard to adjust. BIOVIA has pioneered data pipelining to address data science and informatics challenges in research and engineering organizations. In this webinar you will learn:

• How to rapidly create virtual screening pipelines and share them as 'best practices'
• Develop activity and ADMET models using ML and deploy these as tools to scientists
• Manage collection, screening and publication of screening data coming from diverse sources
• Quickly build, test and deliver integration workflows to remediate gaps in an informatics infrastructure
• Perform the full spectrum of data science activities without requiring formal training as a data scientist.