Explore the Litmus Blog Hub for valuable tips, industry trends, and expert knowledge, designed to enhance your understanding and effectiveness in implementing and scaling Industrial DataOps.
Vishvesh Shah
Director of Product Management
Industrial cybersecurity isn’t measured by the absence of vulnerabilities but by how effectively they’re identified, managed, and remediated. Recent incidents show why software visibility, digital hygiene, and coordinated response matter.
Rahul Kulkarni
Technical Product Marketing Manager
IT Hub lets Litmus Edge Analytics flows query IT and business systems over SQL or REST, then act on the answer in the same flow, with no separate integration job.
Rahul Kulkarni
Technical Product Marketing Manager
Litmus Edge 4.4.0, the newest release of our industrial edge data platform. Explore what it brings and how it helps your plants turn machine data into business results.
Chris Hilderbrand
Head of Cloud and AI Partnerships
Microsoft certified Litmus Edge Manager's Site Model for Manufacturing AI and named Litmus engineers Vishvesh Shah and Parth Desai IoT MVPs again, showing Litmus software and field teams meet Microsoft's bar for industrial AI on Azure.
Rahul Kulkarni
Technical Product Marketing Manager
Litmus Edge integrates with MaintainX to bring live equipment data into maintenance workflows, helping teams act on real machine conditions and keep assets running at their best.
Rahul Kulkarni
Technical Product Marketing Manager
Industrial metadata visibility, lineage, and governance for teams that need to find, trust, and scale AI across sites.
Krystal Leung
Senior Content Marketing Manager
The AI infrastructure for manufacturing is being built right now. What reaches it depends on the data foundation underneath.
Rahul Kulkarni
Technical Product Marketing Manager
Which vendor categories actually deliver a unified namespace, where each one stops, and the tests that separate a broker purchase from a UNS platform decision.
Krystal Leung
Senior Content Marketing Manager
Six use cases everyone agrees on, and the one question that decides whether any of them work at your plant.
Rahul Kulkarni
Technical Product Marketing Manager
How to define an asset model once, instantiate it at every site, and version it over time without breaking the analytics that depend on it.
Krystal Leung
Senior Content Marketing Manager
Compare the best Industrial AI platforms in 2026.
Rahul Kulkarni
Technical Product Marketing Manager
The five cost lines that actually move an Industrial DataOps business case, the formulas behind each one—and the criteria to judge platforms against them.
Rahul Kulkarni
Technical Product Marketing Manager
A bounded, testable first project: one asset class, two source systems, one consumer, and the acceptance criteria that decide whether you scale.
Krystal Leung
Senior Content Marketing Manager
Discover what is the best Industrial AI software for manufacturing in 2026.
Krystal Leung
Senior Content Marketing Manager
"Industrial AI platform" describes two different products — one supplies the models, the other supplies the data they run on.
Krystal Leung
Senior Content Marketing Manager
The top 10 use cases for Industrial AI in manufacturing.
Krystal Leung
Senior Content Marketing Manager
The definition of Industrial DataOps.
Krystal Leung
Senior Content Marketing Manager
The definition of an Industrial AI Platform.
Krystal Leung
Senior Content Marketing Manager
The definition of Industrial AI software.
Krystal Leung
Senior Content Marketing Manager
The types of Industrial AI out there, how to choose between Industrial AI software, and the difference between an industrial data platform an an AI application.
