In this “age of AI” upon us, AI and analytics innovation is moving at a furious pace across every industry and healthcare is no exception. We are witnessing unprecedented innovation across all the modalities of AI including machine learning, deep learning, natural language processing (NLP), generative AI/LLMs as well as medical robotics that is driving process automation, higher efficiencies, enabling care givers and driving down costs with the promise of superior patient outcomes.
In this fireside chat, learn how healthcare organizations can take a portfolio management approach to manage their AI strategy across the various modalities aligned with the use cases that deliver the maximum value and ROI while enabling superior healthcare delivery at the lowest cost, assuring a better patient/consumer experience and satisfaction. Explore how Identity Data Management (IDM) and Master Data Management (MDM) are critical for AI and Analytics data fidelity + readiness and articulate how leading healthcare organizations have seen measurable value and ROI on their IDM/MDM enabled AI and analytics investments.
What you’ll learn:
- Discover why healthcare organizations need a portfolio management approach to shape and orchestrate their AI strategy.
- Explore why the use case(s) and value thereof drive AI strategy rather than the platforms, tools and technologies.
- Learn why Identity Data Management (IDM) and Master Data Management (MDM) is critical for AI and Analytics data fidelity + readiness?
- Take away IDM/MDM-enabled AI and Analytics best practices to inform your AI strategy.
Presenters:
