The Use Cases for AI Governance
The time-saving efficiencies and valuable insights that AI can provide have been well known and documented for years now. Therefore, the greatest use case discussed for enabling such lower costs and higher revenues is the managing of the risk that AI presents to an enterprise – primarily in the form of avoiding fines from current and future regulations such as the EU AI Act, which have the potential to be greater than GDPR, per Sunil.
However, Sunil also added another business driver nigeria rcs data for AI governance. He has found that as companies are articulating the reasons why they should adopt AI in the enterprise, AI governance itself was actually found to be among the top three of those reasons. This is because with an AI governance program that is set up correctly within an organization, it is a competitive advantage for accelerating even more AI adoption, use cases, and therefore value for that organization.
The Use Cases for Utilizing GenAI for Data Governance
After understanding what data governance can do for AI in the form of AI governance, another discussion point was: What can AI do for data governance? Junaid Farooq shared a more comprehensive list of 40 specific GenAI use cases and the mapping of their relative value, effort, and risk. Some of the greatest use cases included: automatic data classification, duplicate detection, data profiling, reference data crosswalks, and text parsing for data ingestion.