The worst mistake companies make when planning for agentic AI is to rush it. That's because there are so many pitfalls with agentic AI. It's a veritable minefield that can destroy a career in the blink of an eye. Agentic AI is the new shiny object, and every company is under some pressure to use the new technology and reap the efficiency and effectiveness that AI promises. 

This webinar is for business and technical executives who want to avoid pitfalls with agentic AI and increase their chances for success. Both Carlos and Matt have spent decades running data and analytics development projects, and recently have deployed agentic AI applications for clients. They will expound on their early adopter experiences and step through the primary pitfalls to avoid when planning an agentic AI project. 

Pitfalls to Avoid When Planning an Agentic AI Project: 

1. You lack access to the right data with the right quality. 

2. You underestimate the number of data variables you need. 

3. Your use case won't deliver a sizable ROI. 

4. Your data is not modeled appropriately or sufficiently. 

5. You don't accurately estimate processing costs. 

6. You don't recognize that agentic AI is a background process. 

7. You underestimate the complexity of security issues. 

8. You don't specify the degree of automation needed. 

9. You underestimate the effort required to create and validate models. 

10. You underestimate the amount of maintenance required.