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SLAS 2019 AI in Process Automation Symposium

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Dates, Location


Don't forget to book your hotel room by Wednesday, September 18!

We've added a NEW sponsorship opportunity: Round Table Focus Group Discussions. Fully customizable, these round table discussions let you set the topic(s) and get small group conversations going about any aspect of AI. Learn more...

We're excited to announce Alán Aspuru-Guzik, Ph.D. and Professor of Chemistry and Computer Science (University of Toronto) as this year's keynote speaker. View the Full Schedule of Events for more details on his presentation.

Lack of knowledge has been the number one barrier to the use of artificial intelligence (AI) in the life sciences community. This two-day symposium aims to change that by addressing recent developments in machine learning (ML) and AI, especially as it impacts drug discovery processes. As machine learning may eventually reduce or even replace the need for more and more specific lab-based analytical or assay technologies, it’s important to understand the potential of AI and stay ahead of the curve.

As an attendee you will:

  • Improve your overall understanding of AI and its potential
  • Learn about the technologies, tools and potential costs of implementation
  • Meet and learn directly from the companies who develop AI technologies and tools
  • Learn from institutions who have already put AI in place – find out how to set expectations, avoid pitfalls and manage a successful integration
  • Learn which innovative technologies could transform your drug discovery practices
  • Understand and address the challenges of data and information management
  • See examples of successful collaboration with external and internal partners

Exhibit and sponsorship opportunities will be available to companies who want to get in front of a multi-disciplinary community interested in expanding their knowledge and use of AI and ML. Learn more...