I am a believer that the pathway to innovation must end with putting a product or service into the market that provides economic value to customers, economics the branch ...
Data science uses many different probability distributions, but some are used more than others. This one picture shows an overview of five probability distributions data ...
A physics-driven analytics platform aids in improvements to the reliability and efficiency of connected mechanical systems. The solution analyzes large quantities of time...
Summary: How to measure the degree and value of AI adoption among companies or even countries is hard. Here’s a beginning proposal on how to get started. We talk...
Scikit-learn (also known as sklearn) is a widely used free software machine learning library for the Python programming language. It has been adopted by many companies an...
Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become. Of...
“We are too busy building the solution to bother the customer to identify, validate, value and prioritize their requirements.” – Name not disclosed to protect the i...
Designing, testing, and shipping an AI product is no small feat. How you organize your team — from roles and responsibilities to planning and process — can go a long ...
Machine learning (ML) is an application of Artificial Intelligence (AI) that provides the system with the ability to automatically learn and improve from experience rathe...
Finding creatives ways to put climate change in the limelight is essential to motivating the intensity of participation that delivers action. There are different ways to ...