Predictive Analytics and the Internet of Things (IoT) have just started to become mature, yet both of them had already formed a very pivotal relationship. The daily expansion and our reliance on analytical “BigData” in order to facilitate the current technological needs, IoT has just come in time to further make this process of huge data collection/transmission easier. But how IoT and Predictive Analytics are to provide benefits for the digital future? That is what we are to discuss in this article, and let us get to debate on that right away! There are actually numerous technological aspects related to IoT that are already depended on the usage of Predictive Analytics to function precisely.
“The collection of data via connected sensors in devices such as vehicles, in a predictively analytical way, can facilitate authorities and other related companies about how the vehicle is operated,” says Clovis Lacerda, Founder of Parlacom Telecommunications Brazil, an IoT/M2M solution provider in South America. The point which Mr. Lacerda has stated is already put in trial mode by a Canadian car insurance company, known as Desjardins Insurance. This insurance firm is conducting tests by combining Predictive Analytics with IoT sensors installed in the experimental vehicles. The idea is to use those sensors to analyze the behavior of vehicle operatives at the time of any accidents.
This is a revolutionizing thought when it comes to IoT and Predictive Analytics. If insurance companies can get better details about the real-time conditions of vehicles at the time of collisions, it will become easier and fairer to process certain claims. Plus, this will also benefit legal authorities remarkably in Driving Under Influence (DUI) cases. Well, this is just one aspect of IoT which is directly impacted by the Predictive Analytics, there are more indeed. For example, broadcasting and predicting weather patterns now heavily rely on a combination of Predictive Analytics and IoT sensors.
Tiny sensors are placed on various remote tundras and oceans in order to analyze such weather-related data like sun heat levels, precipitation levels, temperatures, wind speed, humidity, and etc. All of this data also plays a vital role in deciding the course for various leading businesses around the world (specifically the ones related to clothing & apparels). In fact, analysts can now predict the customer volume and trends related to shopping/fashion based on the analytical data provided by IoT sensors from remote locations around the world.
If IoT and Predictive Analytics is that much beneficial, why we do not have a full-fledged global infrastructure in various industries by now then? This seems to be a legit question, but nothing is without its challenges as well. For example, one of the biggest concerns for data scientists globally is how to address and manage the bulky huge amount of excessive data generated/transferred continuously from connected devices around the world?
In one of our very recent article, we have discussed how satellites can prove to be of vital help in communicating/transferring “BigData” generated by IoT devices globally. In order to successfully implement a global IoT and Predictive Analytics infrastructure, we must first create a proper and solid transfer architecture to assist massive data. Hopefully, we will build such an architecture in near future for sure.