Executives across healthcare are weighing business cases for generative AI—in particular, large language models (LLMs). Free from the burden of custom labeled data and training, these new models allow for a phenomenal number of applications that will democratize AI and, ultimately, change the way the industry works. While AI for all is becoming a reality, this new age does not mean a free-for-all approach for enterprise IT leaders. Those who have a clear picture for how to adapt their existing tech and data strategies quickly are in the best position to drive business value. In this webinar, ZS’s Arun Shastri, global AI practice leader, and Jessica Jarvis, digital transformation lead, discuss how the approach for using LLMs is different from legacy AI and share clear actions for early-stage planning, governance and risk.
In this on-demand webinar, you’ll learn:
- How the mindset on risk changes when introducing LLMs into your organization’s AI ecosystem
- A practical view on what LLMs can and can’t do well in healthcare, including how to evaluate use cases aligned to drive business value
- How to educate privacy, compliance and business leaders from the lens of enterprise IT
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