The India AI Impact Summit 2026 made one thing crystal clear. AI's explosive potential in 2026 depends less on flashy algorithms and more on data maturity. Poor data quality, silos, governance gaps, or unreliable pipelines can derail even the most advanced generative AI, predictive models, or agentic systems. As organizations race to adopt AI for economic growth, operational resilience, and innovation, the real differentiator is a rock-solid data foundation. That is exactly w

Data Quality is an important factor for driving successful projects. Here we give you an insight into how AI can help test data quality.