The Outcome Economy: Why Apps are the New Dinosaurs
The digital world just had a “Meteor Moment.” ☄️ If you’re still checking your phone every five minutes to jump between five different apps just to organize a dinner, you’re …
What AI-First Really Means for Enterprise Operations
The defining business question of our era is deceptively simple: how do we leverage AI for sustainable competitive advantage? Yet the answer requires confronting uncomfortable truths about how we’ve structured …
End of the Beginning for Machine Learning
Well thats a wrap for my initial journey into machine learning and artificial intelligence. But it’s only the end of the beginning for machine learning. Before I finish up this …
Service Assurance’s Future with Machine Learning
Thanks again for all the great feedback on this blog series. I want to continue the ongoing discussion by guessing service assurance’s future with machine learning. There are infinite operational …
Automated Detection and Mitigation of Chronic Issues
Let’s continuing our discussion around machine learning and AI focusing on chronic issues. Key is the automated detection and mitigation of chronic issues. As we have discussed in many of …
Learning Your Operational Performance
In business intelligence reporting, a common area is around learning your operational performance. This means tracking operation’s workload and results. While this can be a sticky subject for operations, its …
Minimizing Faults with Machine Learning and AI
A great topic of conversation is fault reduction. First let’s not confuse terms. Data reduction is discarding data deemed not actionable. Fault reduction is prioritizing the fault stream. This enables …
An Umbrella for Fault Storm Management
Let’s continue our conversations around ML/AI in Service Assurance. I want to to explore an illustrated real life use case. The first example focus in on is around fault storms …