This PPT slide, part of the 33-slide Generative AI (GenAI) in the Pharmaceutical Industry PowerPoint presentation, outlines a structured five-phase framework for implementing Generative AI (GenAI) in the pharmaceutical industry. It emphasizes the necessity for a systematic approach to transition from pilot projects to enterprise-wide value. Each phase is designed to align AI initiatives with business objectives, regulatory requirements, and operational capabilities.
The first phase focuses on identifying high-value AI use cases. This step is critical as it sets the foundation for subsequent actions, ensuring that efforts are directed towards areas with the most potential impact. The second phase involves building the necessary data infrastructure, which is essential for supporting AI operations and ensuring data quality and accessibility.
In the third phase, the emphasis is on training talent to deploy AI pilots in targeted domains. This highlights the importance of human resources in the successful adoption of AI technologies. The fourth phase addresses the regulation and management of AI implementation risks, which is vital for maintaining compliance and mitigating potential issues that could arise during deployment.
The final phase integrates AI into the change management strategy, ensuring that the organization is prepared for the cultural and operational shifts that accompany AI adoption. This holistic approach underscores that adoption must be driven by business needs rather than merely technological advancements. The framework serves as a roadmap for pharmaceutical companies aiming to leverage AI effectively, ensuring that they can navigate the complexities of implementation while maximizing value creation.
This slide is part of the Generative AI (GenAI) in the Pharmaceutical Industry PowerPoint presentation.
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Healthcare Artificial Intelligence Change Management Value Creation Human Resources Compliance
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