Handling the Challenges of AI Deployment
- Posted by GM, Digital Solutions
- On July 15, 2021
The added complexity of an AI project increases the risk and potential for challenges that can stop project progress dead in its tracks. This concern is especially true for small to midsize companies. AI projects are not as simple as setting goals. A full project scope should take on a holistic approach that encompasses:
- Investing in talent who can deliver value and infrastructure
- Setting well-defined and measurable goals, metrics, and milestones
- Targeting three tests to source impactful data
Emerj’s in-depth white paper explores the unpredictability of AI projects and presents solutions to unexpected challenges. Specifically, you’ll learn how to successfully execute an AI project, with emphasis on discipline, planning, and resources – more complex than just another engineering project.
Download the Emerj white paper now to discover the intricacies of AI deployment and how to manage your project like an expert.