Sessions for ANSWERS to your greatest challenges

Managing the AI Model Lifecycle from Development to Production
While advanced machine learning models are increasingly enabling mission-critical applications in enterprises worldwide, many companies lack the right tools and processes to manage model lifecycle from development to deployment into production. Explore with us best practices in integrated governance of machine and deep learning models and lay out design considerations for modern model lifecycle management minimizing time to business outcome. Breakout #1717

A Business Leaders Guide To Implementing AI Without Getting Fired
Enterprise AI is a once in lifetime career opportunity. But implementing it is fraught with pitfalls. Join Forrester analyst, Mike Gualtieri, as he shares nine best practices that enterprise leaders should follow to implement successful projects. Do it right. Avoid the pitfalls. Reap the rewards. Breakout #1722

AI: Endgame
Examine ways to create an AI vision grounded in current reality but with an eye on future trends and possibilities. Also explore the data and architecture requirements needed to support such a roadmap and ways to ensure projects are production ready. Breakout #1754

How AI Will Change Marketing Forever
Every business wants their marketing to be better, faster and cheaper. Yet, study after study tells us the opposite is happening, including unmet revenue expectations and unrealistic performance demands. See real-world use cases and examples of how companies are using AI to drive costs down and revenues up with a focus on customer insights and experience. Panel #1770

Role of AI in Medical Research​
Participate in a discussion about how medical centers confront the challenge of collecting, organizing, and retrieving vast quantities of heterogeneous data that are use for research, quality improvement, outcomes analyses, or best practice discovery. Breakout #1723