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Complying with Evolving Regulations for AI and Machine Learning and Implications for the Cloud

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Comply with evolving regulations for AI and machine learning

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In the case of emerging technologies, there can be a serious disconnect where regulations can’t keep pace with the technology, resulting in laws that are several years behind the technology it seeks to regulate. In this paper, Unisys thought leaders Karen Moore, Chief Compliance and Privacy Officer, Suzanne Taylor, Vice President, Innovation and Emerging Technologies and guest Michael Egan, Partner, Cooley LLC, share their perspectives on the wide-ranging legal, ethical, and yet-to-be-defined regulatory topics with which highly regulated businesses must contend. See how you can keep moving forward as regulations change to achieve the compelling business outcomes made possible by digital transformation.

Expert insights from “Standing at the Crossroads: The Increasingly Complex Regulatory Landscape”

The cloud gives businesses fast, affordable access to artificial intelligence (AI) and machine learning (ML) technologies previously only available to the largest and wealthiest tech firms. However, as explored in a webinar hosted by Unisys, “Standing at the Crossroads: The Increasingly Complex Regulatory Landscape,” deploying these technologies in a way that meets increasing security and compliance demands is no small task.

In this webinar, thought leaders from Unisys, including Karen Moore, Chief Compliance and Privacy Officer, Suzanne Taylor, Vice President, Innovation and Emerging Technologies and guest Michael Egan, Partner, Cooley LLC, discussed wide-ranging legal, ethical, and yet-to-be-defined regulatory topics with which highly regulated businesses must contend. As businesses move forward with cloud-based solutions, these topics warrant additional consideration. This paper summarizes the highlights of this discussion. See how you can keep moving forward as regulations change to achieve the compelling business outcomes made possible by digital transformation.

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