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Mar 09 2018 |
Patterns
By: Aditya

Patterns: an extension of our thoughts

Mostly, I tend to stumble upon patterns or patterns stumble upon me. Either way, I have this innate sense of looking for patterns around myself. This notion can be extended to the entire human race. We are fascinated by patterns and their delicate intricacies. We are utterly spooked if we see something that falls outside the event horizon of our “pattern disposed” mind.

In an amazing scene of “The Beautiful Mind”, John Nash played by Russell Crowe stands close to and observes the movement of pigeons. He wasn’t insane. Nor sane enough to be an ordinary person. Essentially, John was trying to extract an algorithm or pattern to define pigeons’ movement or simply put - creating a sense out of an extremely chaotic situation.

The commonly held belief about patterns is that patterns are elusive and esoteric. They aren’t. However, the ability to extract a pattern gives an enormous upper edge to anyone with exact resources in terms of controlling several facets of our society. The concept of predictive analytics has its’ bedrock in identifying patterns and extrapolating or predicting on top of that.

This has major longitudinal repercussions for different industries and society as a whole.

In the book “Rise of the Robots” by Martin Ford, Martin highlights one such industry (Health and Medical) and one specific application (Radiology) of the existence of patterns. And how Artificial intelligence brings accuracy and simplicity to the otherwise complex task of disease detection that eventually helps prevent misdiagnosis by creating accurate predictive models.

Radiology involves scanning the medical images for patterns leading to an anomaly i.e. a tumor. Often, it takes time on the part of the doctors to be an expert at interpreting medical scanning images. With time, computers are getting better and much adept at analyzing images by training them through a process of supervised learning. Image recognition is being deployed across several industries and the model gets better with the time and with the availability of new and enough data.

Understanding known patterns and taking decisions driven by these pattern insights would be the game-changer for future leaders like us. From global perspective, we need technological enthusiasts and leaders who shouldn’t spew tech jargons like AI, ML, NLP and Cognitive but have an actual understanding of the technology beneath and how it can affect their business.