As businesses increasingly recognize data as their most valuable asset, the focus has shifted from just collecting information to managing it securely and efficiently. Modernizing data management processes has become a top priority, with organizations investing in advanced technologies such as AI and ML to address challenges like data governance, integration, and security. But here’s the catch— incorporating AI in data management alone isn’t enough. An efficient way of tackling data management challenges is combining AI with human expertise, creating a balanced approach that ensures data is used and managed responsibly. In this blog, we’ll explore how this synergy redefines the landscape of data management and why it’s essential for driving sustainable business growth.

According to Harvard Business Review, almost half of freshly created datasets contain major errors that lead to poor ROI and wastage of time and resources. So, even if you are collecting high-quality data from reliable sources, you must validate & update it regularly for accurate information.