Webinar Recording

AI Governance From a Practical Perspective

Posted on Apr 21, 2020 by Anne Bailey

How can you ensure that your Artificial Intelligence project does not become a liability? An improper implementation, a socially insensitive data label, or negligent data management can easily lead to an auditing nightmare. What are the best practices to safely utilize and govern AI? This webinar highlights key considerations when implementing an AI application, particularly for use in IAM. Learn the key questions to ask when implementing an AI project so that governance and audits do not become an issue later.

Many AI projects falter or fail when they encounter a governance related problem. Don’t let your investments in an AI project go to waste because of poor governance practices, leading to project abandonment. Take advantage of the potential efficiencies that AI projects can bring by managing your AI projects responsibly.

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Webinar presentation, KuppingerCole

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Analyst
KuppingerCole

Annie Bailey

Annie Bailey is an analyst covering emerging technologies such as blockchain and artificial intelligence, and helps synthesize the implications for companies, industries, and markets. She holds a Bachelor from Pacific Lutheran University, a Master’s Certificate from Johns Hopkins-Nanjing...

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