Abstract: Data lineage technology is a method of describing the relationships between data, which plays a crucial role in solving many challenges in the data marketplace, such as unauthorized data ...

Abstract: In a formal data analysis workflow, data validation is a necessary step that helps data analysts verify the quality of the data and ensure the reliability of the results. Data analysts ...

Salesforce’s integration of Informatica into Data 360 aims to give AI agents the shared metadata, lineage, and real-time understanding they’ve been missing. While studies suggest that a high number of ...

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 ...

Data contextualization is the key to understanding and preventing the implications of bad factory floor data in downstream applications. When your IT colleagues talk about data lineage, they are ...

Key Insight: Strict data lineage is now central to bank generative AI strategies. What's at Stake: Operational, compliance and reputational risks could translate into lawsuits and financial losses.

Hamza is a gaming enthusiast and a Writing Specialist from Pakistan. A firm believer in Keyboard/Mouse supremacy, he will play Tekken with WASD if you let him. He has been writing about games since ...

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 ...

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