Financial institutions are excited by the potential cost savings and competitive advantages from AI, but less than half of AI projects deliver the anticipated ROI.
Success hinges on the integrity of the data that fuels AI models.
A strong data foundation includes a strategy for managing physical and digital assets, risk governance, and making technology investments that protect you from cyberattacks. Read this white paper to learn:
- Common data blind spots that derail the most well-thought-out AI use cases
- Best practices for addressing data readiness
- How to leverage technology such as AI, machine learning (ML), and natural language processing (NLP) to transform physical and digital data into structured formats