A Generative AI �Immaturity� Model � Agility Needed

The scope and complexity of generative AI (GenAI) projects vary significantly, as does the maturity and ability of organizations to effectively address the broad set of potential requirements. Successful GenAI projects must focus their efforts in ways that match their maturity in key areas. This task is further complicated by the rapid evolution of GenAI over the last 18 months, with major new options entering the market regularly. As a result, new ‘immature’ options must constantly be understood and considered as part of your overall plan. Join this complimentary Gartner leadership webinar as a Gartner expert provides leaders with a framework for understanding and prioritizing their GenAI projects based on their maturity in key areas. These key areas include strategy, governance, use cases, value/cost, data, GenAI operations, sourcing, and workforce. You will walk away from this session with answers to your vital questions, a copy of the research slides and recommended actions to help you achieve your goals.

Explore key areas necessary for successful GenAI project implementation
Assess and prioritize GenAI initiatives to align with your organizational maturity
Understand what characterizes organizations with greater levels of GenAI project complexity