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Next webinar: August 15, 2 pm EST

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About this live stream

The cost of bad data isn't just in the numbers—it's in the lost hours of your most valuable people. Data engineers spend up to 80% of their time on manual, repetitive tasks like data cleaning and normalization, while the business loses an average of $12.9 million annually to bad data. This isn't a technical problem; it's a strategic bottleneck holding your entire organization back.

In this live stream, Solutions Architect Vlad demonstrates the Data Normalization AI Worker.

Discover how to solve the data problem at the source. Give your data teams infinite capacity to focus on high-value analysis and strategic decisions, not manual data entry and cleanup.

Get a Personalized Demo

You'll learn:

How the Data Normalization AI Worker processes and cleans data from multiple sources like SAP, Dynamics ERP, and NetSuite ERP, even when the data is from different formats.
A live demonstration of how to turn thousands of rows of data into a single, clean file.
How an AI worker can add comments and context to the data it's cleaning and normalizing.
How to integrate this workflow with your business infrastructure using our Universal Connector.