Presented by Microsoft
VentureBeat’s AI Impact Tour just wound up its stop in New York City, welcoming enterprise AI leaders in an intimate, invitation-only cocktail salon hosted by Microsoft at the company’s Flatiron office. The topic: How organizations can balance the risks and rewards of AI applications, as well as the ethics and transparency required.
VentureBeat CEO Matt Marshall and senior writer Sharon Goldman welcomed Sarah Bird, global lead for responsible AI engineering at Microsoft, along with Dr. Ashley Beecy, medical director, AI operations at New York Presbyterian Hospital and Dr. Promiti Dutta, head of analytics, technology and innovation, U.S. Personal Bank at Citi to share insights into the ways generative AI has impacted the way their organizations approach industry challenges.
On choosing impactful, sophisticated use cases
What’s really changed since generative AI exploded is “just how much more sophisticated people have become and their understanding of it,” Bird said. “Organizations have really demonstrated some of the best practices around the risk or reward trade-off for a particular use case.”
At NY Presbyterian for instance, Beecy and her team are focused on carving out the risks versus rewards of generative AI — identifying the most crucial use cases and most urgent problems, rather than applying AI for AI’s sake.
“I think about where there’s value and where there’s feasibility and risk, and where the use cases fall on that graph,” Beecy explained.
Patterns emerge, she said, and applications can be aimed at reducing provider burnout and improving clin …
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VentureBeat’s AI Impact Tour just wound up its stop in New York City, welcoming enterprise AI leaders in an intimate, invitation-only cocktail salon hosted by Microsoft at the company’s Flatiron office. The topic: How organizations can balance the risks and rewards of AI applications, as well as the ethics and transparency required.
VentureBeat CEO Matt Marshall and senior writer Sharon Goldman welcomed Sarah Bird, global lead for responsible AI engineering at Microsoft, along with Dr. Ashley Beecy, medical director, AI operations at New York Presbyterian Hospital and Dr. Promiti Dutta, head of analytics, technology and innovation, U.S. Personal Bank at Citi to share insights into the ways generative AI has impacted the way their organizations approach industry challenges.
On choosing impactful, sophisticated use cases
What’s really changed since generative AI exploded is “just how much more sophisticated people have become and their understanding of it,” Bird said. “Organizations have really demonstrated some of the best practices around the risk or reward trade-off for a particular use case.”
At NY Presbyterian for instance, Beecy and her team are focused on carving out the risks versus rewards of generative AI — identifying the most crucial use cases and most urgent problems, rather than applying AI for AI’s sake.
“I think about where there’s value and where there’s feasibility and risk, and where the use cases fall on that graph,” Beecy explained.
Patterns emerge, she said, and applications can be aimed at reducing provider burnout and improving clin …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]