Abstract
Machine learning is revolutionizing industries, and life sciences is no exception. This session delves into the potential of AI/ML to reimagine patient care. We will provide a foundational understanding of AI/ML, exploring its applications, essential tools, and project management nuances. Additionally, we will discuss the challenges and opportunities in successfully integrating AI/ML into life sciences organizations and projects. Join us for an informal “fireside chat” to uncover how AI/ML can drive innovation and improve patient outcomes.
Learning objectives:
- Understand the fundamental concepts of artificial intelligence (AI) and machine learning (ML) and their applications in the life sciences.
- Develop a conceptual understanding of AI/ML architecture.
- Understand diverse applications of AI/ML within the life sciences industry.
- Recognize key differences between traditional and AI/ML projects.
- Identify potential challenges and strategies for successful AI/ML adoption.
Registration
- $0.00 - PMINJ Chapter members
- $5.00 - Non-members (no refund)
- The link to the virtual meeting will be included in
the Registration Receipt
- Download the Zoom app at: https://zoom.us/download
Speaker
Speaker:
Pritam Dodeja, B.S. (Computer Science/Math), M.S. (Information Systems)
Pritam leads the Machine Learning delivery team at Intuitive.cloud, an integrated technology solutions provider that partners with cloud vendors such as Amazon, Google, IBM, Microsoft, and others to deliver competitive advantages for their customers.
As part of his role, Pritam helps customers frame their problems in their business context and leads the implementation team that executes against that problem statement.
Prior to Intuitive, Pritam has spent fifteen years in the pharmaceutical industry in various technical and managerial roles, covering the entirety of the product lifecycle, from R&D, Clinical, Regulatory, Commercialization, and Pharmacovigilance related activities.
Pritam is a big proponent of automation to free up time and enable people to be more creative. It is this view that led him to continually evolve from a Linux Engineer, to managing middleware teams, database teams, to designing REMS programs that have a meaningful impact on patient safety, being part of product launches, returning to his computer science and math roots via machine learning.
Interviewer:
Tejesh Patel, PMP
Tejesh Patel is the Business Development Lead for Global Product Development and Supply IT at Bristol Myers Squibb, where he drives strategic IT initiatives to support business growth and operational excellence. Holding a master’s degree in information technology, Tejesh has held various IT leadership roles, including PMO leadership.
With a deep understanding of the life sciences industry, Tejesh excels at identifying opportunities to leverage technology in addressing complex business challenges. He has a proven track record of building strong partnerships to deliver innovative IT solutions. Tejesh's expertise in enabling technologies, GxP processes, and pharmaceutical manufacturing knowledge empowers him to provide strategic guidance and drive successful project execution.
