AI is data-hungry and requires high-quality inputs to operate effectively. However, many enterprises are still struggling with data-related issues such as data quality, availability, and integration with production systems, hindering successful implementation of AI. A major study by Deloitte found that 44% of global firms surveyed faced major challenges in obtaining data and inputs for model training and integrating AI with organizational IT systems. Lack of data quality and observability, poor data governance, and lack of data availability are key challenges that need to be addressed to free data's chokehold on AI expansion and industrialization. Optimizing AI infrastructure, including......See More