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Natural Language processing empowering IOT

Understanding the terms in the simplest way



Natural Language Processing: Natural Language Processing is the ability of a system to analyse the human language in the same way normal people do.


Internet of Things: It is made up of devices – from simple sensors to smartphones and wearables – connected together.

How IBM uses NLP to boost its IOT solutions


Natural Language Processing (NLP) has always helped to decrease the gap between User and the System. System that may vary from your mobile phones to any x..y..z appliances in your home or offices. IBM has created an API for connecting unstructured data with Watson’s computing prowess. With IoT becoming a large scale industry in itself and creating tons of data.
If we just have a look on this statistic you can easily guess how much data is created by IoT things,














A brief for Cognitive APIs


IBM Cognitive APIs deliver natural-language processing, machine-learning capabilities, text analytics, and video and image analytics to help realize the potential of development of cognitive IoT solutions and services on Watson IoT.
It includes:













System User interaction made-easy by NLP


Using a mobile app, a browser , switches or buttons are currently the ways in which user interact with the system. But NLP adds a new dimension to these system, ‘DIALOG’. Using dialog one can access the devices easily, from running to debugging all at easy pace. And IoT will connect all these devices together and will make the data available easily at one place. The collected data can then be easily use to train the day to day solutions model. We can then use APIs to bring this data to other format such as text, audio. The data can be transformed to other format using NLP tool for better interaction.


NLP as a support Tool

For example, a technician is trying to repair a washing machine at home of its owner. He uses his tools from his bag but is unable to find a solution. What he will do now? he will take the machine to his workshop and will open all its parts, this is no good for him. That's where NLP + IoT will make him happy. Assume machine to be embedded with sensors. Then he could have asked the machine.. "Hey washer, whats wrong with you?", the machine analyzing the sensors in it could have said, "The Drive Motor is not working, could you look into it?". Not finding any hint what happened to it before, he can now easily search for the solution on internet. He can now repair the machine at the home of owner rather than taking it to his workplace. He can also save the solution on his tab (a IoT thing) so that if any other technician has any similar question, his tab will be ready with a solution.
"Ask Watson" feature can also be very helpful in such cases, where after the solution about a problem is found he can feed it in Watson and let the Watson learn this experience. Next time something happens like this, Watson has a solution. 

A real example that uses NLP, Olli

Going through the NLP solution in IoT I stumble upon a very interesting solution from Local Motors Olli, is a self- driving electrical vehcile that establishes a relationship with the passenger using NLP. If you want to eat ice-cream, enter the car and say, " Hey..Olli, Tell me where I can get a good Ice-creame?" and Ollie will reply, " You can have it on Baskin Robbins at Kailash Colony." and then you say, "Great, take me there." and the journey to your ice-cream parlor is as simple as it sounds. The use of NLP tools text to speech, speech to text and IoT devices information has made all this simple task.

Here is the video of Olli, 

Last Words
IoT devices creates a lot of data each second, if we can collect the data and apply NLP, ML tools on this data we can easily make this a better place to live. IOT now has roots in health, farming and collects data on regular basis. If we process the data in a correct way using ML, we can know when someone is probable of having a disease and how can you make farmer's crop better by telling him what is he not doing in a correct way.


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