THE THREE Vs FOR DATA QUALITY IN THE AGE OF AI
How value, volume and veracity of data now define AI success
Artificial intelligence has entered a decisive new phase. Organizations are no longer experimenting with isolated generative AI pilots; they are moving toward embedded intelligence and agentic AI systems that can plan, reason, and act...
EXECUTIVE SUMMARY
1. HOW AI RAISES THE BAR FOR DATA QUALITY
2. THE AI STALL-OUT IN FINANCIAL SERVICES
3. FROM THE FIVE Vs TO THE THREE Vs OF AI-READY DATA
4. THE THREE Vs OF AI-READY DATA
5. VARIETY AND VELOCITY ARE STILL RELEVANT
6. A BLUEPRINT FOR DATA QUALITY IN THE AI ERA
CONCLUSION – GETTING
AHEAD WITH THE THREE Vs
Working with Infosys & AWS
The three Vs for data quality in the age of AI