SURVEY REPORT FOR DATA LEADERS IN PHARMA

Determine Your AI Maturity

Focus AI Efforts on Where You Lag Behind Industry Average

We compiled this healthcare and life sciences report from a May 2024 survey of hundreds of senior AI professionals in the industry, with a focus on Generative AI (GenAI). Measure your organization against the average to understand which areas you should invest more in to remain competitive.

Stay Competitive With AI in Pharma

60% of Healthcare and Life Sciences Firms See Positive ROI From GenAI Use Cases in Production

Among healthcare and life sciences firms with large language models (LLMs) or GenAI models in production, 60% report positive ROI, highlighting AI’s role in driving both financial gains and strategic growth in the sector.

“Gen AI represents a meaningful new tool that can help unlock a piece of the unrealized $1 trillion of improvement potential present in the industry.”

— McKinsey & Company

"Tackling Healthcare’s Biggest Burdens With Generative AI"

“Dataiku has been a huge part of the analytic democratization process that we use. It’s really supercharged us.”

– Debbie Reynolds

Vice President, Enterprise Data Solutions & Engineering at Pfizer

“Dataiku was for us the best overall ROI because of the skills that were required to use it. We didn't need an DevOps engineer or data scientist and similar skillsets.”

– Mike Hoyt

SVP of Technology and Business Process at Thrive Skilled Pediatric Care

How Will AI Transform the Healthcare and Life Sciences Industry Next?

Uncover Top AI Use Cases, Big Investments, and What’s Holding Firms Back

What Are the Up-and-Coming AI Use Cases in Healthcare and Life Sciences?

Human resources, procurement, and operations are the top three. Read the report to discover the full list.

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55% of Firms are Investing >$5 million in AI Tools

Read through the breakdown of AI tools and services investment in healthcare and life sciences.

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Why do Firms Struggle to Bear Value from AI?

Discover the top barriers to delivering more value from data, analytics, and AI in healthcare and life sciences.

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Do Healthcare and Life Sciences Firms Have Clear Owners of Data Quality?

57% of organizations have clear roles dedicated to data quality. See how this compares to other industries.

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Expect to See Causal AI and Transfer Learning in Healthcare and Life Sciences in the Next Year

41% of healthcare and life sciences organizations are currently experimenting with causal AI and transfer learning. Other up-and-coming techniques in the industry include product recommendation, segmentation, federated machine learning, and other GenAI models.