Presented By: Brendan McCorkle, Nathan Clark & Emerson Huitt
Speaker Biography:
For the last 15 + years working in technology Brendan has started and grown multiple investor backed businesses, raised over $20MM in Venture backing, negotiated and managed a technology transfer out of a 2B+ healthcare system and ran a successful turnaround (6x revenue and 4x margin in 2.5 years). He regularly mentors current and aspiring entrepreneurs as they work to find product-market fit, fundraise, and navigate the ebbs and flows of people management through rapid growth. He has built Enterprise SaaS business as well as a Data Science/Data Engineering heavy software consultancy. Before getting into technology he was a Paramedic and a Mental Health Technician for many years, participating in one of the first rollouts of EHR technology in the US.
Nathan Clark is the founder and CEO of Ganymede, the modern data platform and cloud infrastructure for science. Prior to Ganymede, Nathan was product manager for several of Benchling's data products, including the Insights BI tool and Machine Learning team. Before that, Nathan has a background in machine learning and data systems across financial technology and general technology. His academic background is a bachelor's of science from the University of North Carolina at Chapel Hill.
Emerson Huitt is currently the CEO of Snthesis, Inc. Based in Raleigh, North Carolina, Emerson is a distinguished figure in the realm of life science data management. With a rich experience spanning 14 years, he has been at the forefront of architecting and deploying state-of-the-art technology solutions. His professional trajectory ranges from pioneering tech research and development in venture-backed startups to spearheading expansive enterprise projects in renowned corporations. A hallmark of Emerson's career has been his ability to design innovative technology platforms that not only enhance business value and efficiency but also set benchmarks in the life science and healthcare domains. His strategic foresight is evident in his emphasis on technology roadmaps that champion swift, iterative enhancements while retaining the agility to meet evolving demands.
Webinar: Unleashing the Power of AI in Biotech: 5 Actionable Insights from Ganymede, Snthesis, and SciNote
Webinar Abstract:
The digital transformation of the field of biotech R&D is accelerating, driven by the integration of artificial intelligence (AI) and machine learning (ML). These technologies are reshaping the way biotech companies approach, analyze, and interpret vast amounts of data, paving the way for more informed decision-making and innovative breakthroughs.
However, as AI innovation has been happening so fast, what actions can companies take to keep on top of it all?
Join us for a conversation with experts in the space as they discuss the current landscape of AI use in biotech, best practices and platforms that your team can leverage right now to ready your lab and data for AI/ML, and our predictions of how AI/ML will develop in the biotech industry in the future.
Our esteemed experts include:
Brendan McCorkle, CEO of SciNote, a leading electronic lab notebook designed to streamline scientific data documentation.
Nathan Clark, CEO and Co-Founder of Ganymede, a company that liberates scientific data by connecting every instrument and app into one FAIR data layer. Their Lab-as-Code technology powers data automation, providing rich data for compliance and AI/ML applications.
Emerson Huitt, CEO and Founder of Snthesis, a company that develops and provides a software that is purposely built to automatically ingest, consolidate, and harmonize structured and unstructured data from disparate systems and sources. The result is one harmonized dataset with a unified view.
In this webinar, you'll learn about:
How to best navigate the current landscape of AI and ML innovation in biotech R&D and what current and upcoming platforms biotech teams can leverage now and in the new year to transform their data management
Real-world applications and case studies showcasing the transformative impact of AI on biotech research.
Best practices and challenges faced by leading biotech companies in ensuring data readiness and enablement for AI applications.
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