A comprehensive guide to building effective AI governance frameworks that enable innovation while managing risk

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AI Governance Design for Strategic Success

At Numbers Station, our mission has always been to bring AI to structured data—and make it actually work in production. It’s a vision we formed years ago at the Stanford AI Lab and pursued at scale, building practical AI agents that could bridge the gap between natural language and highly structured enterprise data.

AI for Structured Data: Building Production-Ready Agents 

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AI for Structured Data: Building Production-Ready Agents

In a world where data drives business decisions, the ability to quickly access and analyze information has become critical for organizational success. Yet despite the growing importance of data-driven insights, many business users still struggle with complex query languages, technical dashboards, and the time-consuming process of requesting reports from data teams. Enter natural language data interfaces—a revolutionary approach that's transforming how organizations interact with their data.

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Natural Language Interfaces: A Guide to Benefits & Use Cases

Organizations worldwide are investing heavily in data products, treating their data assets with the same rigor and intentionality as physical products. Yet despite these investments, an estimated 60-73% of organizational data still goes unused by analytics teams. For AI builders specifically, this unused data represents more than just waste—it represents missed opportunities to build more robust, trustworthy AI systems.

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Data Products Aren't Enough: Why You Need a Marketplace to Unlock Value

In today’s complex digital ecosystems, enterprises juggle hundreds—if not thousands—of disparate systems, each with its own data schema, structure, and semantics. Integrating data across these systems remains one of the most persistent and costly challenges for IT teams and data professionals.

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Canonical Data Models Explained: Benefits, Tools, and How to Get Started

What happens when you combine the rigor of economics, the creativity of luxury beauty, and the transformative power of AI? 

Inside LVMH Beauty’s AI Strategy with CDAO Julie De Moyer

The data landscape is evolving—and not just incrementally. We are in the midst of a fundamental shift in how organizations think about data. For too long, we’ve treated datasets as the end product: raw collections of tables, CSVs, or queries to be cataloged. But in truth, these are just building blocks. The real opportunity lies in transforming them into purposeful, usable, and valuable data products.

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From Datasets to Data Products: How to Build Business Value with Standardized Specifications

What if your AI agents could recommend certified data assets with the confidence of a seasoned analyst? What if they could interface with the full spectrum of your data estate  (multiple data sources, dispersed data locations, varied data types), communicate which assets are trusted, and explain business terms—on demand? If you're building with LLMs or developing internal copilots, you already know the challenge: AI is powerful, but without context, it guesses. And guessing isn't good enough for enterprise use.

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Get Started with the Alation AI Agent SDK

Organizations across industries are accelerating their digital transformation initiatives by migrating data to the cloud. Modern cloud data architectures deliver business agility, innovation, and enhanced security—but the migration process itself can be complex, costly, and risky.

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Metadata-Driven Data Migration: Why It's a Game Changer

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Gene-Arnold

Product Architect

Gene Arnold

Snowflake and Alation Partner to Drive Quality, AI-Ready Data

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Alation Acquires Numbers Station: Enabling AI to Understand Structured Data at Scale

Reinventing the Role of Data Catalogs and Governance in the Era of Agents

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Blog hero image for Meet Alation’s New Data Products Builder Agent

Data Digest

Alation Acquires Numbers Station: Enabling AI to Understand Structured Data at Scale

Reinventing the Role of Data Catalogs and Governance in the Era of Agents

Alation’s New Data Products Builder Agent: Build Better Data Products—Faster

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