AI Agents for Data Quality: From Contracts to Anomaly Detection

AI Agents for Data Quality: From Contracts to Anomaly Detection

Join Santiago Viquez for a practical Soda webinar on using data contracts together with anomaly detection in the Soda CLI. You’ll see how teams can define expectations, detect unusual data behavior, and build more reliable data quality workflows.

Zoom webinar

Register for this webinar

Register for this webinar

Register for this webinar

As AI becomes part of everyday data workflows, data quality can no longer be an afterthought.

Building reliable pipelines requires more than checks—it requires a workflow that can scale, adapt, and be understood by both humans and AI.

Join Santiago for a live session on how Soda CLI helps teams build modern data quality workflows.

Using a real warehouse, he’ll demonstrate how to move from schema discovery to data contracts, anomaly detection, and AI-assisted execution in a single workflow.

This session is for data engineers, analytics engineers, and anyone looking to get ahead with AI-powered data workflows.

In this webinar, Santiago will show you how to:

➤ Connect a data warehouse and discover datasets from the Soda CLI

➤ Generate a data contract directly from a live schema

➤ Add anomaly detection monitors, including both column-level monitors and custom SQL checks

➤ Hand the same workflow to an AI agent and watch it execute the steps autonomously

AI Agents for Data Quality: From Contracts to Anomaly Detection

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4.4 of 5

Your data has problems.
Now they fix themselves.

Automated data quality, remediation, and management.

One platform, agents that do the work, you approve.

Trusted by

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4.4 of 5

Your data has problems.
Now they fix themselves.

Automated data quality, remediation, and management.

One platform, agents that do the work, you approve.

Trusted by

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4.4 of 5

Your data has problems.
Now they fix themselves.

Automated data quality, remediation, and management.

One platform, agents that do the work, you approve.

Trusted by