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CIP032: 6 Pitfalls Pharma Leaders Must Avoid: AI Implementations

CIP032: 6 Pitfalls Pharma Leaders Must Avoid: AI Implementations

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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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