
CIP032: 6 Pitfalls Pharma Leaders Must Avoid: AI Implementations
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About this listen
Host: Anand Natarajan, xLM
Guest: Nagesh Nama, CEO, xLM
Six Common Pitfalls Pharma Leaders must avoid in AI Implementations
In this episode of the ContinuousTV Podcast, host Anand Natarajan and guest Nagesh Nama, CEO, xLM discuss the six major pitfalls companies face when implementing AI in the pharmaceutical industry. They explore the importance of having a clear AI policy, the dangers of unrealistic expectations, the challenges posed by data silos, and the need for strong leadership to guide AI initiatives.
The conversation emphasizes the need for a balanced approach to building or buying AI solutions and the importance of continuous learning and adaptation in this rapidly evolving field. In this conversation, Nagesh Nama discusses the challenges and strategies in adopting AI frameworks within the pharmaceutical industry. He emphasizes the importance of agility, collaboration, and a proactive mindset in navigating the rapidly evolving landscape of AI technology. The discussion highlights the need for companies to break down silos, embrace innovation, and adapt to stay competitive in a fast-paced environment.
Chapters
00:00 Introduction to AI in Pharma
01:09 Haphazard Approach to AI
06:08 Unrealistic Expectations in AI Implementation
09:40 The Challenge of Data Access
18:45 Choosing the Right Tools and Vendors
25:10 Adopting New Frameworks and Tools
28:08 Navigating AI Maturity and Industry Hesitance
30:04 The Urgency of Embracing AI in Pharma
33:57 Transforming Mindsets and Processes
40:01 Breaking Down Silos for Effective Collaboration
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