Life sciences organizations are struggling to manage the unbounded growth of unstructured data while deploying next-generation applications such as artificial intelligence (AI) and machine learning (ML).
How far can your data take your organization? Attend the Data Workflow Forum to hear from industry experts focused on accelerating life sciences workflows and the impact of AI/ML. Topics covered will include data governance, improving diagnostic capabilities, and accelerating drug discovery; all in service of advancing cutting-edge research.
Chris Dwan is a technologist and consultant specializing in scientific computing and data architecture for the life sciences. He directed the research computing team at the Broad Institute and was instrumental in the development of its data sciences program, as well as its transition from on-premise to a hybrid cloud infrastructure. Previously, Chris was the first technologist at the New York Genome Center, where he architected, designed, and built all of the computing, data storage, and network infrastructure.
Who should attend:
November 1, 2018 | 4pm - 7pm (EST)
Tobacco Road Sports Cafe & Brewery | 505 W Jones St, Raleigh, NC 27603