The potential of the Internet of things (IoT) technology is known to businesses, therefore ramping up their efforts to implement and expand their IoT networks. According to Gartner Data & Analytics Summit 2019 report, by 2024, 50% of enterprise application data will be sourced from IoT.

IoT development is complex and bound to uncertain challenges throughout the development lifecycle. Further breaking down the development into different components, issues in hardware design are the most critical because they can’t be rolled back.

The government functions to serve and represent its citizens, but around the world, citizens experience substandard public services with minimum transparency.  But governments often fail to support individuals and communities efficiently. The services they provide in many parts, from education to health, are broken.

There’s an interesting analogy to understand IoT, the devices are the neurons all connecting to the giant brain called the internet. Every small device in this network is holding an important set of data. Now, the performance of this neural-like network will directly depend upon the efficiency of data transmission. 

Traditional methods including manual creation of scripts, scrubbing the data, and later loading it into a data warehouse or ETL, (extract-transform-load) was used to integrate data from different sources. These methods were adopted in the era of resource constraints and have now become very time-intensive, expensive, and error-prone, says Yash Mehta, an IoT and big

In the fast-paced, technology-driven world, businesses must promptly cater to their customers, and business needs to be a market front-runner. Thus, many businesses have changed the way they work by adopting the Internet of Things (IoT), whether its business-to-consumer (B2C) or business-to-business (B2B) to achieve decision promptness. IoT technologies can transform customers’ personal and social aspects of life and answer critical business problems with

There is no doubt that poor requirement gathering leads to bad quality of products. If this holds true for a normal software project, imagine the importance of a critical space like the Internet of Things (IoT) that is a combination of multiple disciplines.

The concept of private networks has been there for quite some time. Private networks are usually preferred by businesses and various types of private organisations to protect the data and information that they store and handle.

The amount of data generated and consumed are just massive. The advancement of technology makes sure that the amount of data that we deal with will only keep increasing in the upcoming years, says Yash Mehta, an IoT and Big Data Science specialist.