Smart City Kiosk – Leads Internet of Intelligence

Jon Salisbury Uncategorized Leave a Comment

Humans are beautiful and intelligent beings. Machines are being taught to mimic some of these traits. Intelligence is needed in every product or the product will die due to a competitive disadvantage. This is absolutely true when it comes to internet of things (IoT) devices. This improved IoT service with AI, allowing for mimicking of intelligence, I’m calling it the “internet of intelligence”. How does this work and why do we deploy? You need 3 key components.

1. Neural Networks – Artificial neural networks (ANNs) systems are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance) to do tasks by considering examples, generally without task-specific programming

2. Artificial Intelligence – Artificial intelligence (AI, also machine intelligence, MI) is intelligence exhibited by machines, rather than humans or other animals (natural intelligence, NI). In computer science, the field of AI research defines itself as the study of “intelligent agents”(any device that perceives its environment and takes actions that maximize its chance of success at some goal). One of the drawbacks currently is that AI tends to be single track focused.

3. Machine Learning – Machine learning is the subfield of computer science that, according to Arthur Samuel, gives “computers the ability to learn without being explicitly programmed”. Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term “machine learning” in 1959 while at IBM. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcoming following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs.

Why are IoT devices needed? It simply comes down to data. Lots of data with the ability to provide multiple points of validation on the data so correlation can be made and “True” data is brought into the platform. Think of sensors as your eyes, ears, nose, mouth, and ears. They are helping to feed the intelligence of artificial learning systems, which understand the real world better. When you bring intelligence to the IoT you reach the internet of intelligence.

How can you start? Many tools have been built to help you on your way and many have been built on open source or free starting point options. One of the best on the market would be OPEN AI, Azure Machine Learning, Sales Force Einstein, and so much more. These are easy to plug in, and if designed properly, will allow you to provide a better experience for your customers, secure your environment, become more efficient, and more. If you are not moving in this direction and your competition is then you will need to play catch up quickly. The outcome of adding intelligence to all devices is that things will provide hidden convenience to you while you walk through the world. You will get to where you want faster, things you need will be made available predicatively, and life should be more efficient overall.

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