GenAI can turbocharge life sciences growth if choices are selective and deliberate

This study has highlighted six key insights that must inform life sciences leadership seeking to leverage and optimize their investments in GenAI.

- Productivity is a prime objective. Life sciences are experimenting with GenAI to reduce friction in the system to improve efficiency, improve accuracy, reduce rework, and strengthen compliance.
- Human in the loop. Life science enterprises are very clear about ensuring that while they are keen to leverage GenAI to improve accuracy, speed, efficiency, etc., they will keep a human in the loop to make the final decision.
- Experimentation is necessary. Life science leaders realize that GenAI can be a differentiator driver across their enterprise objectives. Consequently, experimenting with GenAI is a necessity.
- Value enabled by patterns. Experimentation is happening at a use case or pattern level, which will likely provide decision-makers clarity on the reality of value realization.
- True cost remains unclear. While token prices are becoming transactional, the overall understanding of all the puts and takes is a work in progress to get a real cost of experimentation or scaling.
- Partnerships are critical. Realizing the value of GenAI is a team sport, from ideation to solution to infrastructure. Creating smart and strategic partnerships will be the difference between success and failure.

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Authors

Rohan Kulkarni Executive Research Leader

Mayank Madhur Practice Leader

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