Like any new technology introduction, the more a team plans the project and identifies potential risks, the more likely it will succeed. Today, there is considerable pressure on corporate technology teams to show quick results with agentic AI. However, unless the teams engage in significant pre-project planning, it's likely they will not navigate the issues and pitfalls unique to agentic AI implementations. 

This webinar is geared to technology executives, business managers, and developers who oversee their company's charge into agentic AI. During the session, Datalere's consultants will draw on their real-world experience with agentic AI to outline seven steps for planning agentic AI projects. Although the steps follow a standard project management template, Datalere's experts will shine new light on how to apply them to agentic AI projects and workloads. 

You Will Learn: 

1. How to identify pain points that agentic AI can solve 

2. How to prioritize agentic AI use cases 

3. How to get sponsorship and funding for AI use cases 

4. How to assemble and agentic AI product team 

5. How to gather business requirements for agentic AI 

6. How to evaluate data sources 

7. How to define success measures for agentic AI