AI for Startup Life Sciences Panel Discussion & Happy Hour #SFTechWeek
Join AWS, PTP and Quilt Data for an insightful panel discussion on the transformative role of Artificial Intelligence (AI) in early-stage life sciences. As AI continues to revolutionize the healthcare and biotech industries, its applications in drug discovery, diagnostics, and personalized medicine are becoming increasingly critical, particularly for startups and early-stage ventures.
Event Highlights:
Expert Panelists: Hear from industry experts who are at the forefront of integrating AI into life sciences.
Key Topics: The discussion will explore a) how robust infrastructure and data management practices can enhance AI/ML capabilities on AWS; b) AWS SageMaker for building, training, and deploying ML models; c) Use of Jupyter notebooks for collaborative data science; and d) Integration with AWS storage solutions like S3 for scalable data storage.
Real-World Case Studies: Discover practical examples of the impact of data readiness and why it is crucial for AI/ML success.
Future Outlook: Gain insights into emerging trends, potential challenges, and opportunities for AI in life sciences, with a focus on what’s next for startups and early-stage companies.
• Q&A Session: Engage directly with our panelists during a live Q&A session, where you can ask your burning questions and get expert advice.
Who Should Attend:
• Life sciences entrepreneurs and startup founders
• Biotech and pharma professionals
• AI and machine learning researchers
• Investors and venture capitalists focused on healthtech
• Academic and industry professionals interested in the intersection of AI and life sciences
Don’t miss this opportunity to learn how AI is shaping the future of life sciences and how your organization can leverage these technologies to stay ahead in this rapidly evolving field.
Register today to secure your spot and be part of this groundbreaking conversation!
This event is a part of #TechWeek - a week of events hosted by VCs and startups to bring together the tech ecosystem.