Our Blog
Take a deep dive into the The 5 Pillars of Data Observability, and End-to-end data observability.
Learn about the data lineage challenges and how data pipeline traceability can provide a complete understanding of the data's journey to improve quality and reliability.
Here’s the uncomfortable truth: the way most organizations manage data incidents in ServiceNow is broken. Pantomath's Somesh Saxena gives his thoughts.
Shashank Saxena, Pantomath CEO, unpacks what’s really behind AI’s 95% failure rate — and why it has nothing to do with model accuracy.
Somesh Saxena is the CEO & Founder of Pantomath, a next-generation data observability and traceability platform for automating data operations and improving data reliability.
In this Digital CxO Insights video interview, Mike Vizard talks to Pantomath CEO Somesh Saxena about why data observability is now an essential requirement for driving digital business transformation in the age of artificial intelligence (AI).
The World’s Leading Companies Trust Pantomath
Delivering End-to-End Data Observability and Automating Data Operations at Scale. This milestone signifies our joint commitment to helping organizations streamline their data operations & enhance the reliability of their analytics ecosystem.
Understanding data in motion is crucial. But why, exactly? Ultimately it comes down to your bottom line –– you can prevent business disruption as data flows through your systems.
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Pantomath announced today that it has successfully completed its SOC 2 Type II audit in accordance with the standards established by the American Institute of Certified Public Accountants (AICPA)
Traditional platforms treat data as a static resource which no longer works for today's data demands. Learn more about the importance of monitoring BOTH data at rest and data in motion.
Discover the real-world benefits and how companies can optimize GenAI applications by implementing robust data observability practices.
In boardrooms across the globe, executives are grappling with a painful truth: the data tools they've invested in aren't delivering on their promises. Learn why in this blog.
