Deep Learning

It may sound like fiction and rather far-fetched, but success has already been achieved in certain areas using deep learning, such as image processing (Facebook’s DeepFace) and voice recognition (IBM’s Watson, Apple’s Siri, Google’s Now and Waze, Microsoft’s Cortana and Azure Machine Learning Platform).


You could benefit from process improvement. Process improvement provides a new viewing lens—to see workflow and inefficiencies from the company, customer, and employee perspectives.


Back in the early ‘80s, when Hinton and his colleagues first started work on this idea, computers weren’t fast or powerful enough to process the enormous collections of data that neural nets require. Their success was limited, and the AI community turned its back on them, working to find shortcuts to brain-like behavior rather than trying to mimic the operation of the brain.

Three Eras

The Cognitive Computing Era will change what it means to be a business as much or more than the introduction of modern Management by Taylor, Sloan and Drucker in the early 20th century.


At some point, the company realized that there are two views on the process. From the vendor’s perspective, the process ends when all the contractual obligations are met. However, from the customer’s perspective it looks slightly different. The desired result is not the equipment properly mounted, assembled and tuned – it’s the equipment actually producing the goods.

End-to-End Processes

I personally like process names like "... to ..." – it’s clear where the process starts and where it ends. (Such names are often used for the processes that make up the value chain.)