The following Q&A occurred during the Everyday AI Conference in London.
For me, it means being able to routinely use AI to achieve the needs of patients in the population, and being able to reach a point where we’re able to do that.
After my talk on “Scaling Artificial Intelligence for Population Health in the NHS,” I would like Everyday AI attendees to remember the difficulties and challenges with responsibly using AI in healthcare, but also how taking data and infrastructure at the heart of what we do can help solve these challenges.
Generative AI plays a minimal role in our AI strategy at this stage. For healthcare as a whole, there’s a huge raft of challenges: the reliability of these models and bias, etc. However, I do think it is very promising for the future.
We use Dataiku as a production environment. So the built-in MLOps tooling and the ability to monitor our models are our favorite aspects.
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Learn MoreDebbie Reynolds, VP Enterprise Data Solutions and Engineering at Pfizer, discusses how the company has been able to put data at the core of everyday business decisions.
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