Unite Data Governance and AI Governance with IBM Knowledge Catalog

Authors: Kashif Hafeez, Julie Forgo

Following the implementation of data regulations such as GDPR and CCPA, organizations got serious about Data Governance, learning to safeguard private and sensitive data. IBM was there to support the implementation of data governance strategies with IBM Knowledge Catalog, providing tools to classify data and establish policies to meet compliance goals.

Now, with the rapid growth of AI in business operations and processes, organizations are wrestling with another governance challenge, and once again, IBM is here to help. AI Governance is the practice of ensuring the safe and responsible development, implementation, and monitoring of AI systems. Although the challenge can seem daunting, IBM is here to help you to embrace the transformative power of AI while monitoring and mitigating risks such as bias, data provenance, and other potential pitfalls.

This blog post describes how the data governance capabilities of IBM Knowledge Catalog can work in concert with other IBM solutions to help you manage both data and AI governance in an integrated approach.