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.
During this exclusive event, you will:
Hear Chris Dwan, a leading a leading life sciences technologist who has worked at the Broad Institute and the New York Genome Center, share his vision for the future of unstructured data management at scale, including AI/ML workflows
Learn how research organization Paige.AI uses AI/ML to accelerate pathology diagnosis
Learn how new infrastructure and software enables next-gen workflows
Connect with peers in the greater Bay Area working on similar problems
This event is invite-only, so please RSVP as soon as possible to reserve your spot!
Featured speaker:
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:
Leaders of HPC, Leaders of Infrastructure and Operations, CIOs, Data Governance and Compliance leaders
Data Owners: Data Science, Research, Clinicians, Informatics.
Agenda:
11:30 AM Check-In
12:00 PM Data Workflow
Introductions
Chris Dwan, Life Sciences Technologist - Life Sciences Workflows
1:15 PM Speaker Q&A
2:00 PM Wrap Up
show less
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.
During this exclusive event, you will:
Hear Chris Dwan, a leading a leading life sciences technologist who has worked at the Broad Institute and the New York Genome Center, share his vision for the future of unstructured data management at scale, including AI/ML workflows
Learn how research organization Paige.AI uses AI/ML to accelerate pathology diagnosis
Learn how new infrastructure and software enables next-gen workflows
Connect with peers in the greater Bay Area working on similar problems
This event is invite-only, so please RSVP as soon as possible to reserve your spot!
Featured speaker:
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:
Leaders of HPC, Leaders of Infrastructure and Operations, CIOs, Data Governance and Compliance leaders
Data Owners: Data Science, Research, Clinicians, Informatics.
Agenda:
11:30 AM Check-In
12:00 PM Data Workflow
Introductions
Chris Dwan, Life Sciences Technologist - Life Sciences Workflows
1:15 PM Speaker Q&A
2:00 PM Wrap Up
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.
During this exclusive event, you will:
Hear Chris Dwan, a leading a leading life sciences technologist who has worked at the Broad Institute and the New York Genome Center, share his vision for the future of unstructured data management at scale, including AI/ML workflows
Learn how research organization Paige.AI uses AI/ML to accelerate pathology diagnosis
Learn how new infrastructure and software enables next-gen workflows
Connect with peers in the greater Bay Area working on similar problems
This event is invite-only, so please RSVP as soon as possible to reserve your spot!
Featured speaker:
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:
Leaders of HPC, Leaders of Infrastructure and Operations, CIOs, Data Governance and Compliance leaders
Data Owners: Data Science, Research, Clinicians, Informatics.
Agenda:
11:30 AM Check-In
12:00 PM Data Workflow
Introductions
Chris Dwan, Life Sciences Technologist - Life Sciences Workflows
1:15 PM Speaker Q&A
2:00 PM Wrap Up
read more
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.
During this exclusive event, you will:
Hear Chris Dwan, a leading a leading life sciences technologist who has worked at the Broad Institute and the New York Genome Center, share his vision for the future of unstructured data management at scale, including AI/ML workflows
Learn how research organization Paige.AI uses AI/ML to accelerate pathology diagnosis
Learn how new infrastructure and software enables next-gen workflows
Connect with peers in the greater Bay Area working on similar problems
This event is invite-only, so please RSVP as soon as possible to reserve your spot!
Featured speaker:
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:
Leaders of HPC, Leaders of Infrastructure and Operations, CIOs, Data Governance and Compliance leaders
Data Owners: Data Science, Research, Clinicians, Informatics.
Agenda:
11:30 AM Check-In
12:00 PM Data Workflow
Introductions
Chris Dwan, Life Sciences Technologist - Life Sciences Workflows
1:15 PM Speaker Q&A
2:00 PM Wrap Up
show less
Date/Times:
558 Sacramento Street, San Francisco, CA 94111
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