Machine Learning (ML) is Artificial Intelligence (AI) for predicting things. This is layman explanation of how it predicts outcomes. … Read More
Understanding AI Today
Quick Guide to AI – Car Analogy
Like owning an Audi, you don’t need to know its technical working to benefit from AI. But understanding the terms allows you to ask better questions. … Read More
5 Dangers of Auto ML
The shortage of skilled Data Scientists and Machine Learning Engineers has led to the proliferation of automated machine learning model development tools (AutoML). Before diving in, be aware of these 5 dangers … Read More
IoT monitoring Risk in real-time
Although measurement is a key tenet of Good Management Practice (GMP), I see little real monitoring in most management systems. Periodic review, dashboards, heat maps, and KRI reports are all “Review” not monitoring. IoT technology can deliver real-time monitoring of business processes not just physical environmental metrics. … Read More
Business Applications for Predictive Analytics
Predictive Analytics use cases to fix business problems like Threat Analysis, Compliance Surveillance Targeting, Reduce Failure Rates, and more. … Read More
5 Reasons Predictive Analytics Projects Fail
Regardless of the hype surrounding Predictive Analytics, and even the fact there are some excellent and relatively inexpensive tools available, not only has its implementation been weak, but a 2017 Gartner survey found in many areas investment is going backwards. … Read More
Risk Identification Using Neural Networks
Although risk identification is a fundamental tenet of ISO 31000, from the GFC to Brexit traditional methods have spectacularly failed. Neural Network mapping is the first real technique to actually identify risk drivers and their outcomes. … Read More
Risk Identification using Big Data
Probably one of the most recognized but least understood disruptive technologies for Risk Management in the 2020’s is Big Data. … Read More
Using Scenario Analysis for Risk based Decision Making
SO31000:2018 stresses the need for risk management to be integrated into operational functionality and decision making, but little has be written on how to actually achieve this. Scenario Analysis is not a modern technology but how you can provide operational management with risk based decision marking collateral. … Read More