Data is the fuel that powers all AI capabilities and use cases. And while most organizations today have plenty of “fuel in the tank,” they struggle to produce generative AI models that drive significant business value because they’re working with “low-grade fuel,” so to speak. Without quality data, there is no quality AI. In this episode of AI Academy, Cathy Reese explains how organizations today need a data strategy that’s ready for advanced AI, which will require them to harness their highest quality data assets.
- Why the AI boom has changed what “quality data” is
- How to get beyond the data quality barrier
- What it takes to prepare a roadmap for data readiness
AI-Ready Data emphasizes that AI capable of driving business success begins with data specifically prepared for AI applications. This resource explores six key actions data leaders can take to ensure enterprise data is ready to power AI effectively.
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