Artificial intelligence (AI) is revolutionizing business processes across industries, automating routine tasks and driving advanced analytics and decision-making. The global AI market is projected to grow from $387.45 billion in 2022 to over $1.394 trillion by 2029, with a compound annual growth rate (CAGR) of 20.1% during the forecast period. As AI becomes integral to core business functions, organizations must navigate new challenges to manage risks and ensure these powerful technologies are used responsibly.

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What Is AI Policy Management? A Comprehensive Guide

Modern organizations are drowning in data but starving for insights. Data teams have invested heavily in data warehouses, pipelines, and modern data architecture, but turning raw data into business value remains a challenge. Many have turned to data products as a solution.

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The Essential Guide to Building Data Products You Can Trust

This blog explores how enterprise leaders can bridge the gap between AI experimentation and measurable business impact through trusted data product marketplaces. Written for C-suite executives, data leaders, and IT decision-makers, it demonstrates how the strategic partnership between Alation and LTIMindtree provides the governance foundation necessary for successful agentic AI transformation—moving organizations from fragmented pilots to scalable, ROI-driven AI platforms.

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How LTIMindtree + Alation Power Trusted AI and Data Marketplaces

According to McKinsey, generative AI could unlock up to $4.4 trillion in annual value. Yet 72% of top-performing organizations say poor data management limits their ability to scale. The challenge isn’t just model performance—it’s about locating and trusting the right data across the business.

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The 2026 Buyer’s Guide to Leading Data Discovery Tools

For over a decade, Alation has been on a mission to connect people to the data they need to make better decisions. That journey began with the data catalog, and it has continued into a full platform for enterprise data intelligence. Today, we’re excited to announce our next step forward: Chat with Your Data.

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Introducing Alation Chat with Your Data—Accurate, Transparent, Governed Answers

For any company that sells data or manages it on behalf of customers (including SaaS platforms), the path to top-line growth isn't just selling more data — it's embedding AI agents that sell answers, suggest next steps and take actions.

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AI Analytics Agents: Turn Cost-Cutting into Revenue Growth

In the era of agentic systems, the quality and structure of your technical documentation can determine whether your AI ships… or stalls.

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How to Write Documentation AI Can Read, Retrieve, and Reason Over

In the rapidly evolving landscape of data management, the imperative for robust data governance and stewardship has never been more critical. The recent blog post, "4 Ways AI Can Transform Data Product Maintenance," brilliantly articulated the foundational benefits of integrating AI into data product maintenance. It highlighted how AI can proactively identify and automate routine tasks to streamlining the maintenance lifecycle. 

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AI Stewardship Copilot: Reducing Friction through Timely Action Facilitation

When a user encounters an error in traditional software, the burden immediately shifts to them. They must navigate away from their work, hunt through documentation, and hope the solution exists. This reactive model has dominated product support for decades, but it's fundamentally broken.

Alamigo in Action: How Our AI Customer Support Chatbot Transforms User Experience

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Gene-Arnold

Product Architect

Gene Arnold

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

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

Data Digest

Introducing Alation Chat with Your Data—Accurate, Transparent, Governed Answers

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

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

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