Data Science and Data Architecture: Together Again
By Steve Donovan
Too many AI projects fail not because of algorithms, but because of data. Pentaho helps enterprises build the governed, catalog-driven data foundations that make AI explainable, scalable, and secure—turning innovation into measurable impact.
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The Insurance Customer Experience Renaissance: How Data, Trust, and Human Moments Will Decide the Future
By Joshua Wick
Customer loyalty is now won or lost in moments that matter. Pentaho helps insurers unify fragmented systems, automate claims and communications, and deliver real-time, personalized experiences that build trust, accelerate growth, and define the next era of insurance.
Pentaho Earns Top Rankings in 2025 ISG Buyers Guide™ for Data Management
By Kunju Kashalikar
When ISG calls your platform “Exemplary,” it means something’s working. Pentaho earned top honors for delivering smart simplicity — integrating, governing, and optimizing enterprise data so businesses can run leaner, faster, and more intelligently.
The Cyber & Privacy Imperative: How the Insurance Industry’s Future Gets Decided Before Sunrise
The future belongs to insurers who treat privacy as power. Pentaho equips them with trusted, transparent data foundations that turn every potential breach into proof of control—strengthening trust with regulators, investors, and customers alike.
Creating the Right Data Foundations for The Emerging Universe of AI Agents
Autonomous AI agents promise speed and intelligence—but without explainability, security, compliance, and fairness, they become a liability. Pentaho provides the data lineage, governance, and trust frameworks needed to make Agentic AI safe, auditable, and enterprise-ready.
Maximizing your Return on Data Science
By Richard Tyrrell
With data scientists spending up to 80% of their time on prep instead of analysis, organizations risk massive opportunity costs—making automation and trusted data access essential to maximizing ROI.
For CIOs and CDOs, Data Marketplaces Can Be the AI Strategy Hub
A modern data marketplace transforms how enterprises scale AI by bridging producers and consumers with trusted, governed data products that deliver speed, quality, and confidence.
How Data Can Keep Fraud from Derailing the Insurance Industry
New insurance fraud schemes are outpacing outdated defenses, but data-driven approaches like real-time analytics and cross-industry intelligence can help insurers protect profits, stay compliant, and rebuild customer trust.
Data Lineage Has Become Essential: Trusted, Compliant, and Scalable Data Operations are Foundational to AI Success
Data lineage has become essential for AI success, giving organizations the ability to trace data from source to decision, ensure compliance, improve quality, and build trust in every outcome.
A Brief History of Data Governance and Quality — and What Comes Next
Discover how data governance and quality evolved from COBOL systems to modern AI-driven platforms—and why they’re vital to building trusted data today.
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