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Renew is using Secoda AI to make self-serve analytics accurate and accessible for both data producers and consumers across the organization. Secoda AI has enabled full self-serve adoption and with Agents, the team is laying the groundwork for more automation and efficiency in their core workflows.
Secoda is unveiling powerful new AI capabilities, Agents, and automated data workflows at dbt Labs’ Coalesce 2025. With the latest updates, organizations can automate governance, documentation, and reporting using Secoda AI’s multi-agent architecture.
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In this workshop, we explored how Secoda AI moves beyond experimentation and becomes part of everyday work. From Chats for real-time analysis, to Agents that automate recurring workflows, to Automation Blocks that keep metadata updated, we showed how these layers connect into a complete system for AI adoption.
Secoda’s new AI Automation Block was built to automate metadata updates at scale. From filling missing descriptions and tagging undocumented tables to detecting PII and enriching documentation, this block helps data teams keep catalogs accurate, consistent, and trustworthy with AI-powered workflows and built-in guardrails.
Discover how Secoda AI Agents help data teams automate repetitive governance work like tagging, lineage updates, and documentation. With natural language prompts, AI Agents execute automated workflows across your stack and keep governance consistent while freeing up time for high-value analysis.
Explore how Secoda’s multi-agent AI architecture streamlines data work by automating governance, documentation, monitoring, and analysis. Learn how specialized agents, coordinated by a central orchestrator, help teams reduce manual tasks and deliver faster, more accurate insights.
In this workshop, we covered how Secoda AI helps teams move faster and more independently, with real-world examples of how customers are using it today. Whether you're a technical user or a business stakeholder, the value of context-aware AI is already at your fingertips, and in this session, we showed how to unlock it.
Learn how Secoda’s Entity Relationship Diagrams (ERDs) help you automatically visualize table relationships, improve query accuracy, and enhance data understanding. Explore how ERDs work alongside lineage, cataloging, monitoring, and AI search to give your team a complete view of your data architecture.
Discover how data teams can move from AI experimentation to reliable outcomes. This guide explores the challenges of using LLMs with business data, why context matters, and how tools like Secoda embed governance, metadata, and lineage to deliver trustworthy AI outputs.
Discover how Secoda’s new Monitoring and Catalog Application, now available as a Snowflake Native App on Snowflake Marketplace, helps data teams monitor data health, manage metadata, and improve governance directly within Snowflake.
Discover how healthcare leaders are scaling data governance with automation, centralized metadata, and smarter workflows. Learn why modern governance is key to AI readiness, compliance, and secure innovation.
Cloud data warehouse migrations can unlock scalability, performance, and cost savings, but they’re rarely simple. In this guide, we break down the key steps to a successful migration and show how Secoda helps teams like Vanta and Fullscript manage dependencies, monitor data quality, and streamline documentation.
A survey of over 200 data professionals reveals that prioritizing data security and privacy is a top governance goal for 2025. This blog explores the challenges, strategies, and tools businesses need to align with regulations and thrive in a privacy-first era.
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Join Secoda’s Data Leaders Forum as we rethink governance for a tech-driven world. Discover insights from Chad Sanderson, Oriol Mirosa, and Etai Mizrahi on shaping adaptive data governance strategies, fostering cross-team alignment, and leveraging AI and data contracts.
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