Uploaded October 2024 | Updated September 2026, 1 week ago
Quantum research and development is poised to change the way we approach some of the most complex issues in global commerce. Major financial institutions, governments, and industry leaders are aggressively exploring areas where quantum computing could provide significant efficiency gains to existing operations and help solve important domain-specific problems. In this webinar, Dr. Manuel Proissl, Global IBM Quantum Industry Applications Lead for Financial Services, shares some of the most promising potential applications of quantum computing for the financial services industry. Discover the challenges and respective opportunities for quantum algorithms in concert with classical financial modeling and data science — ranging from managed risk, financial crime, and investments to personalized customer experience.
Quantum research and development is poised to change the way we approach some of the most complex issues in global commerce. Major financial institutions, governments, and industry leaders are aggressively exploring areas where quantum computing could provide significant efficiency gains to existing operations and help solve important domain-specific problems. In this webinar, Dr. Manuel Proissl, Global IBM Quantum Industry Applications Lead for Financial Services, shares some of the most promising potential applications of quantum computing for the financial services industry. Discover the challenges and respective opportunities for quantum algorithms in concert with classical financial modeling and data science — ranging from managed risk, financial crime, and investments to personalized customer experience.








![Why do AI models need to be safe?
IBM Fellow Kush Varshney explains how IBM Research is responding to the evolving safety risks associated with generative AI.
https://research.ibm.com/blog/map-measure-manage-gen-ai
Introduction [00:00]
Why do we need AI safety? [00:09]
Determining what is harmful [1:55]
Granite Guardian to detect risks [3:00]
Alignment vs. steerability [6:17]
How to AI models make decisions? [9:35]
Are certain steering methods more effective? [12:20]
Intrinsic functions for generative AI [16:06]
What is generative computing? [17:05]
Surprises and lessons learned [19:44]
Innovating responsibly [20:58]
Whats next for AI safety research [26:08]
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#ai #riskmanagement #generativeai Why do AI models need to be safe?](https://i.ytimg.com/vi/g2A7NUSa7qA/mqdefault.jpg)

