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Anomalo + Snowflake
Anomalo at Data Cloud Summit 2024: Scale Data Quality with ML
Build the future together with AI and apps
June 3–6 in
San Francisco
Visit us at Booth 1317
SPEAKING SESSION
Scaling Data Quality with Unsupervised Machine Learning Methods
Taly Kanfi, Data Solutions Architect
June 5 at 11:30am
The challenge is no longer how big, diverse, or distributed your data is. It’s that you can’t trust it. Companies are utilizing rules and metrics to monitor data quality, but they’re tedious to set up and maintain. Taly will present a set of fully unsupervised machine learning algorithms for monitoring data quality at scale. Which require no set up, catch unexpected issues and prevent alert fatigue by minimizing false positives. At the end of this session, participants will be equipped with insight into unsupervised data quality monitoring, and how it can help scale trust in your data.
MEET WITH US
Book a Meeting
Want to connect with the Anomalo team at the conference? Take a few minutes now to let us know you are coming by and book some time with us.
Elliot Shmuckler
Co-Founder and CEO
Amy Reams
Vice President of Business Development
Michael Dooley
Vice President of Sales
Related Articles
What are the related resources for data quality?
Learn more by browsing our library of announcements, guides, and technical deep dives on data quality.
Ready to Trust Your Data? Let’s Get Started
Meet with our team to see how Anomalo transforms data quality from a challenge into a competitive edge.
Frequently Asked Questions
- 1 When and where is the Data Cloud Summit 2024 taking place?
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The Data Cloud Summit 2024 is scheduled from June 3-6 and will be held in San Francisco. Anomalo encourages attendees to join them at this event.
- 2 What will Anomalo be presenting at the Data Cloud Summit 2024?
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Anomalo will be leading a session at the summit focused on data quality. The presentation will explore how they utilize unsupervised machine learning to ensure data integrity.
- 3 How does Anomalo help with data quality?
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Anomalo offers an autonomous data management system designed to provide continuous insight into data quality. Their solution helps identify and resolve data issues proactively, leveraging unsupervised machine learning for effective data monitoring.