Understanding the challenges and limitations

While AI and GPT possess the transformative power to automate and streamline data governance processes, they are not the silver bullet that can instantly resolve all data-related issues. While promising, incorporating AI into data governance presents its own set of challenges and limitations. The primary obstacle lies in the sheer volume and complexity of enterprise data. There are some considerations when you deploy the AI solutions for data governance:

• Fueling the right AI with the right data for data governance in a real-time manner: AI and GPT models require large amounts of high-quality data to learn from and generate outputs. However, the data are often scattered, siloed, incomplete, inconsistent, or outdated in many organizations. Data governance itself is a complex and dynamic process that involves multiple stakeholders, roles, processes, communications, metrics, and tools. There is a question mark to ensure that the right...