According to recent DBTA research, 59% of organizations are actively piloting or scaling AI initiatives across the enterprise. Yet, fewer than half of these initiatives are succeeding for most ...

The cybersecurity industry has turned data lineage into another buzzword, with vendors promising complete data visibility that will solve all data protection challenges. This marketing transforms a ...

Technology leaders are now facing new challenges due to the introduction of artificial intelligence systems into government environments. The origin of the data used by AI systems poses one such ...

Debate and discussion around data management, analytics, BI and information governance. Perhaps you’ve heard someone mention “data lineage” in a meeting. You might have nodded along while secretly ...

The problem rarely announces itself as a technology failure. It usually surfaces during a routine regulatory return, an internal review, or a late-stage audit question. The numbers reconcile. The ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. AI rarely fails because of bad models alone. More often it fails ...

Modern enterprises are more than ever reliant on data. But that makes understanding how that data is generated, transmitted, changed and used over time -- its lineage, vitally important. We spoke to ...

Data lineage is the process of tracking, documenting and visualizing the journey of information over time. This methodology includes when and where data was generated, how it traveled between systems, ...