Data Digest
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The $25 Million Reason Georgia-Pacific Rebuilt Its Data Foundation
In a paper mill, every hour of downtime carries a steep price tag, with tens of thousands of dollars lost the moment a machine goes offline. To protect against that risk, site managers do exactly what sound operational logic dictates: they maintain robust inventories of spare parts. It's a responsible decision made at the local level, repeated across numerous manufacturing sites nationwide.
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Alation AI Labs
Your Context Layer Is Already Wrong
The hardest problem in enterprise AI is not giving agents context. It is keeping that context current as the business changes underneath it.
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A New Vision for Alation: Introducing AIOS
For customers, prospects, and analysts wondering what changes to expect from us: this is the map.
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Databricks Genie vs. Alation: Why the Best AI Answers Need Both
If you're evaluating Databricks Genie alongside Alation, you're probably asking the same question most enterprise data teams ask: We already have Genie… do we really need both?
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How Telecom and Mining Companies Make AI Work in Production
Recap of "AI Pilots Are Easy. These Two Leaders Figured Out the Hard Part." — Gartner Data & Analytics Summit, Sydney, June 2026
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How To Comply With The EU AI Act: A Practical Guide
If a regulator or your board asked today which AI systems you have in production, which EU AI Act obligations apply to each, and whether the evidence is complete... how long would it take your team to answer?
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What Is Data Lineage for AI? How Tracing Data Origins Improves Model Accuracy and Trust
Enterprises have deployed AI almost everywhere, yet most have little to show for it. McKinsey calls it the gen-AI paradox: nearly 80% of companies have deployed generative AI, but over 80% report no material impact on earnings. The bottleneck is rarely the model. It is the data foundation underneath it: disconnected, inconsistent, and poorly understood.
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What Is Data Governance in Banking?
Banks manage a lot of sensitive data. When an individual opens an account, they provide information that needs protection, from name and address to social security number. The collection doesn’t stop there — insights like transactions and purchasing information help to round out customer profiles. With this data, financial institutions can improve services and make informed decisions – if they can use it safely.
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5 Leading Data Enrichment Tools to Improve Data Quality
Data quality has a direct impact on business decisions, yet maintaining it remains a persistent challenge. When records are incomplete, inconsistent, or outdated, critical systems lose reliability and teams lose confidence. Experian’s latest Global Data Management Research found that 85% of businesses say poor-quality customer data harms operational efficiency—a reminder that weak data foundations affect both strategy and execution.
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What Is Automated Data Curation? How AI Is Changing Metadata Management
Every data governance program eventually hits the same wall. The catalog exists. The policies are written. Stewardship roles are assigned. And still, at the end of the quarter, half the tables in your production environment have empty description fields, PII classifications vary by team, and no one is quite sure whose job it is to keep all of it current.
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Data Dictionary vs. Business Glossary: Benefits, Use Cases, and Challenges
In your organization, are you ever confused by different definitions of business terms? Do you ever wonder why the number of customers differs between two reports?
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