Integrating data science into R&D can reduce the time and cost to market by 50%. Insights gleaned from advanced models and analytics are fuelling discoveries, automating complex tasks and transforming an array of industries. From predictive maintenance and manufacturing optimisation to AI drug design and patient care, data science solutions are creating value for enterprises and their customers. From streamlining data preparation to building advanced AI models, the right data science solution can help meet the challenges and realise the potential of data science today.
By the end of this webinar, you will have:
- Learned how to manage your team’s data science pipeline
- An understanding of the relevant AI/machine learning techniques in chemistry
- Identified how machine learning can help your team innovate
Speaker: Alexander J Orona, Pipeline Pilot product manager, Dassault Systèmes
Speaker: Dana Honeycutt, principal development scientist, Dassault Systèmes