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.

December 12, 2024
Somesh Saxena Of Pantomath On How To Leverage Data To Take Your Company To The Next Level

Pantomath CEO, Somesh Saxena, was interviewed by Authority Magazine as part of their “How To Effectively Leverage Data To Take Your Company To The Next Level” series. Read about his insights and take on the topic.

December 5, 2024
Columbus Execs Align on AI Strategies at CDO Magazine Community Dinner

Special thanks to Coretek, Enlivened Tech, Lydonia, and Pantomath for making the CDO Magazine Columbus Executive Community Dinner such a resounding success.

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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