How to manage generative AI programs governance, education, regulation [Video]

Creating a center of excellence to manage generative AI effectively will increase the chances of success throughout your organization. Here’s how to get it right.

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Generative artificial intelligence has grown extremely rapidly, attracting investment and sparking developer interest and creativity. Companies see generative AI as a route to building innovative services and revolutionizing their industries.

However, while developers are keen to build with generative AI, the challenge is how to move beyond initial tests into running at scale. They are now working through problems around how to integrate and manage their projects so that pilot schemes can move into production. This is a common experience in new technology projects as they move from being islands of experimentation to widespread integration across organizations. This proliferation can introduce governance and scalability challenges if these are not considered early.