Our Blog

October 15, 2025
95% of AI Pilots Fail, and Bad Data is the Culprit

Shashank Saxena, Pantomath CEO, unpacks what’s really behind AI’s 95% failure rate — and why it has nothing to do with model accuracy.

January 14, 2025
From Michelin Stars to Data Observability: Journey to Revolutionizing Data Reliability with CEO Somesh Saxena

Somesh Saxena is the CEO & Founder of Pantomath, a next-generation data observability and traceability platform for automating data operations and improving data reliability.

December 16, 2024
Data Observability in the AI Era with Pantomath’s Somesh Saxena

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).

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Data in Motion Series, Part 1: What is Data in Motion?

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.

Builder
Observability & Traceability
Why Data Observability is Essential for Generative AI (GenAI)

Discover the real-world benefits and how companies can optimize GenAI applications by implementing robust data observability practices.

Strategist
AI Readiness
Why Most Data Observability Platforms Fall Short

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.

Strategist
Observability & Traceability
The 5 Most Common Data Management Pitfalls

There are five common mistakes that teams often make on their journey toward data observability. Learn how to avoid them!

Operator
Incident Management
10 Essential Metrics for Effective Data Observability

You can’t simply implement data observability and then hope for the best. Learn about the top 10 essential metrics to make your business thrive.

Builder
Observability & Traceability
The Evolution of Data Quality: Why Data Observability is Key

Data quality has a long history, dating back at least to mainframes in the 1960s. Learn about the path Data Quality has taken, and where it's headed.

Strategist
Data Reliability

Automated data operations across your data stack