Data Governance in Palantir Foundry: Markings, Lineage and Quality
How data governance is implemented inside Foundry: mandatory versus discretionary controls, organisations per subsidiary, lineage for impact analysis and monitored quality.
Palantir Foundry, AIP and Data Strategy Thought Leadership
Latest articles on Palantir and data strategy — Page 5
Beyond the Maturity Model: Operational, Agile Data Governance
Beyond the Traditional Maturity Model: How to Structure Operational, Agile Data Governance Why your governance framework shouldn’t take longer to define than to deliver its first result Quick Answer Operational data governance is a model…
The Palantir Ontology Explained from a Data Governance View
What the Palantir Foundry Ontology is when read as a data governance tool: owned objects, actions with permissions and controls that travel with the data.
Lakehouse vs Traditional Data Warehouse Architecture: A Technical Guide for CTOs
Lakehouse vs Data Warehouse Architecture: Differences, Advantages, and When to Choose Each A technical comparison to help you make the right decision for your context Quick Answer A traditional Data Warehouse is the right choice when use…
What Is Palantir? Foundry, AIP and the Ontology Explained
What Palantir Foundry is, what AIP adds and why the Ontology is the piece that changes everything. A guide for anyone evaluating the platform.
Common Mistakes When Implementing Generative AI in Companies
There’s a notable difference between companies generating real value with Generative AI and those that have invested time and budget in projects that never made it past the pilot stage.