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"Uncovering AI's evolution and its best practices in pharma R&D"

Download the detailed insights from ZS’s benchmarking study exploring how R&D organizations are leveraging AI.

Innovation is at the core of the life sciences industry and one exciting area of growth is the increasing role artificial intelligence (AI) is playing in R&D. As pharma companies look to the future and seek to maximize their R&D investments, many have already established data science and AI divisions. This is one of the insights ZS gained as part of a comprehensive, anonymized, AI-focused benchmarking study of 15 large and midsize biopharma companies. Our study focused on both the current state and future of R&D data science organizations, and we specifically focused on five key dimensions that are particularly important to pharma organizations as they enhance their AI capabilities. These dimensions are:

• Organizational strategy and mindset
• Operating model
• People
• Data and technology
• Innovation

Download and explore this study to gain insights into how R&D organizations are operating and evolving, as well as best practices you can apply at your firm. The authors also discuss how to navigate the challenges and ethical considerations associated with AI in R&D.

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