The desire to incorporate AI into business strategies is widespread, but the path to successful AI project deployment is fraught with challenges. Many projects fail due to a lack of clear vision, inadequate data, and infrastructure limitations. This guide offers a lifeline for navigating these complexities.
Gain insights from WEKA's CTO, Shimon Ben David, and learn how to ask the right questions to set your AI projects up for success.
In this guide, you'll discover how to:
- Define a clear vision for your AI project: Establish concrete goals and outcomes to ensure your project delivers tangible value
- Identify and manage your data needs: Understand the data required, its sources, and how to maintain data quality for optimal model performance
- Build a robust infrastructure: Ensure your infrastructure can support the scale, speed, and agility demands of modern AI workloads
