Only 35% of global consumers trust how AI is being implemented by organisations. AI outcomes can be biased or discriminatory and do not take into consideration the plurality and diversity of societies. Responsible AI is becoming the new business imperative. A few months ago, a leaked document from Facebook, now Meta, shook up the data privacy world. In the leaked document obtained by Motherboard, a group of privacy engineers working at Meta wrote, "We do not have an adequate level of control and explainability over how our systems use data, and thus we can't confidently make controlled policy changes or external commitments such as'we will not use X data for Y purpose.' And yet, this is exactly what regulators expect us to do, increasing our risk of mistakes and misrepresentation."

Data lineage is critical to addressing data-driven business requirements such as compliance, change management, data governance, customer experience, and many more. But how do you keep up with data lineage given the volume and scale of data today? "AI-Powered Data Lineage: The New Business Imperative" explains how AI and machine learning, combined with broad metadata connectivity to any source, enables true enterprise-wide visibility into the entire data lifecycle.