The benefits of Machine Learning are clear; accelerated product discovery and research targeting are rapidly transforming company workflows and increasing the speed of work. Many large biopharma’s have already leveraged ML to accelerate drug discovery processes and increase the accuracy of patient risk prevention. However, these processes are not just for biopharma companies: Machine Learning and Deep Learning can revolutionise product design by quickly uncovering potential new areas of research or finding more efficient solutions to quality and workflow challenges. With this industry first panel, join ML and AI leaders as they discuss their successful implementations, how they identify external partners, and outline how ML could revolutionise the workflows of your lab.

The discussion will consider:

•     taking the first steps in ML utilisation and establishing use cases appropriate for your specific needs

•     Establishing infrastructure and scaling ML from a part of a lab to an entire process

•     Identifying blind-spots, navigating ML governance and harmonising ML strategies with senior leadership

•     Discussing lessons learned, and looking to the future of automation