What role do you play in building and delivering conventional artificial intelligence solutions, including machine learning models? Are you also involved in your organization’s adoption of generative AI?
My Digital and Analytics team harnesses data and advanced analytics – both conventional and genAI – to achieve the following:
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Improve productivity by making work better, faster, and cheaper.
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Improve health care by better predicting and guiding people to the next care they will need.
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Fundamentally re-imagine how health care is experienced.
There are efficiency plays, effectiveness opportunities, and transformational possibilities, all at the same time. It is an exciting time to be doing all of the above because we are in golden age of neuroscience and behavioral science; we understand people and how to help them better than ever. We now have tools in advanced analytics that help us better predict what is coming and how to change future outcomes for the better.
Then we have genAI, which among many other things allows us to make it far easier to interact with the health care system. On my team, we try to work on multiple time horizons in a highly iterative fashion since it is critical to test and learn our way into what is possible now and next – and what is the best next endeavor for our mission and company.