Gartner: Data Management Disrupted by AI

While strong data management has long been a foundational practice for business intelligence and analytics, enterprise organizations will need to update what they do to meet the needs of growing advanced analytics implementations such as machine learning and other artificial intelligence in the years ahead. That was one of the conclusions of Gartner's recent Data and Analytics Trends report for 2022. "Without the right data, building AI can be risky and even dangerous," says Gartner VP Rita Sallam. "Most organizations, from a data management perspective, address very important AI-specific considerations for data management like data bias, diversity, labeling. They often address those things haphazardly."