Addressing the challenges of unstructured data governance for AI

""Unstructured data now makes up the vast majority of enterprise information, and AI is redefining how organizations bring control, accessibility, and security to it," says Ashish Mohindroo, general manager and senior vice president of Nutanix Database Service platform."

""Leaders should ask themselves, 'Who needs daily access to this data?' and 'How can we keep data safe from unauthorized access or accidental loss?'" These questions are crucial for all data sources, especially unstructured ones."

""Routing messages is not the same as reasoning about them, connecting assets is not the same as understanding them, and reactive telemetry is not the same as choreographed intel," states Joanne Friedman, CEO of ReilAI."

Enterprises, particularly in regulated sectors like financial services and insurance, are increasingly focusing on data governance. Initial efforts often center on structured data, but the rise of AI necessitates attention to unstructured data. Effective governance involves defining policies, classifying data, and ensuring security. AI can facilitate the management of unstructured data, which constitutes the majority of enterprise information. Organizations must address access control and safety to navigate the complexities of unstructured data governance.

Read at InfoWorld