Blockchain-IoT Analytics Empowered By Predictive Learning — DATAVLT

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DATAVLT

3 min readApr 9, 2018

We are driving towards the era of Internet of Things (IoT); however, the value of IoT lies in the analytics than in hardware. IoT analytics enables you to extract insights from the information transmitted from these devices. There are pioneers in IoT analytics who want to put the data generated in meaningful consumer experiences while enabling business transformation.

So, what is great about IoT Analytics?

The first thing is to understand about IoT Analytics is that it involves sensors generating datasets. These are now cost effective though complicated to support the various cases. The potential of these sensors lies in their ability to gather information in the physical environment. The data gathered can be analyzed or combined with other datasets to find hidden patterns.

Four Verticals IoT Data Analytics could be useful for:

Consumer Product consumption analysis in Marketing
IoT analytics can help rewrite business thinking towards customers.
Usage of consumer’s Internet-connected products
Using the Analytics to serve Consumers and Business
Analytics can help in B2B as well as B2C consumers.
Data mining can detect fraud
New service to customers will appeal to cost-efficient companies.
Sensors and Camera can relate to connected Events
IoT analytics can enable social analytics
Connected events will enhance the experience of participants
Video Analytics for Safety
IoT analytics enables predictive maintenance
It can tell us about events that are worthy of attention with motion and radar sensors.

Why Blockchain?

Using blockchain allows the data to decentralize i.e. no single person or company is controlling the data or its integrity. The blockchain is immutable meaning that information remains so long as network exists. One of the first industrial advantages where the blockchain was beneficial was the online casino industry.

Using Blockchain in IoT analytics will help in the safety and security of databases especially in healthcare where the sensitivity of data is crucial. Blockchain allows identifying hackers and other nefarious users of the data.

Why Integrate Predictive Learning?

Having a safe, secure data is meaningless unless you are able to find trends or hidden unused, unstructured data. Predictive Learning allows building an environment with different actions in a variety of circumstances. This will help in text analytics software such as Microsoft Word and social media posts. The classification models allows organization of data making it easier for retrieval. Neural Networking can emulate human mind enabling automation of predictive analytics.

Where does DATAVLT come in this?

DATAVLT is working on a project integrating predictive learning on top of Blockchain. IoT analytics is one of the areas of concentration for DATAVLT.

The IoT market is expected to rise from $2.99T in 2014 to $8.9T in 2020 with a CAGR of 19.92%. The data generated by these IoT devices will need analysis enabling DATAVLT to play a critical role.

DATAVLT will provide a secure, safe, scalable IoT analytics on a blockchain with the intelligence of Predictive Learning.Find out more about us:

DATAVLT Website — http://datavlt.com/

DATAVLT Telegram — https://t.me/datavault

DATAVLT Twitter — https://twitter.com/datavlt

DATAVLT Facebook — https://www.facebook.com/datavlt