AI Governance From a Practical Perspective
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.
Language: English • Duration: 31:21 • Resolution: 1280x720
Watch on YouTube Download the video Learn more about this webinarVideo Links
KuppingerCole PLUS
Get access to the whole body of KC PLUS research including Leadership Compass documents for only €800 a year
KuppingerCole Select
Register now for KuppingerCole Select and get your free 30-day access to a great selection of KuppingerCole research materials and to live trainings.
Stay Connected
Next Webinar
Finding Your Path to Zero Trust
May 19, 2021
As users, devices and application workloads move outside the corporate network, the traditional model of enforcing security at the network perimeter is no longer effective. A Zero Trust model offers an alternative that secures data while ensuring it is accessible to employees, regardless of where they are working. But the path to achieving Zero Trust is unclear for many organizations.
Other videos
How can we help you