• Madani Sahari

Importance of Internet of Things, Big Data Management

Internet has been part of everyday life of those opportune enough able to have access to the network. Electronic gadgetry, software, sensors and network connectivity are now the means to assist mankind to be connected to the vast data and information available round the world.

However data and information collection and exchange within the internet are almost wholly dependent of human input, which is less efficient due to people having time constraint, lack of attention and accuracy.

Billing system for household electricity supply is a simplest example to illustrate the interaction between human and computer systems in posting monthly bills to consumers.

Meter readers are the source of data input into the central computer system of a utility company which in turn process the data for billings. Human dependent for the data input often times and again proved the inefficiency and inaccuracy of the supposedly mechanized billing system.

Today advanced billing system starts with the electric meters being “smart” able to record the amount of electricity consumed within a period of time and transmit the data to the central computer system directly via the internet, thereby eliminating human involvement in the data collection. The efficiency and accuracy of billings are apparent while at the same time the contributing to reduction in waste, losses and costs.

This concept of internet application in products and human activities is now identified as the “Internet of Things (IOT)”, which name was coined sometimes in 1999 implying that machine-to-machine communication via the internet has been developed for more than a decade. The above billing system or product is considered as an object or a “thing” in the IOT and experts estimate that the IOT will consist of almost 50 billion objects by 2020.

Modern vehicles of today have numerous built-in sensors each with designated function or “Thing” to alert the drivers of the condition of the vehicles, driving conditions and other useful information. Remote monitoring of the vehicles can be achieved via the internet if each of the “Things” in the vehicles is assigned an IP address and provided with the ability to transfer data over the network.

Application of IOT within the automotive sector, albeit in the aspect of vehicle monitoring, maintenance, etc., and the management of the automotive industry per se, both the manufacturing and marketing aspects, will lead to accumulation of large volume of data and information. Ability to manage this “Big Data” is crucial to ensure successful implementation of the concept.

Big Data Management (BDM) is the process of examining large data sets containing a variety of data types to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information.

The data that has been analysed will be useful for remedial actions to reduce failures or to improve product design. In all the application of IOT and BDM will improve the efficiency and quality of products being produced and increasing in values of new product ideas, inspiring a surge in productivity and innovation and therefore improve the industry global competitive advantage.

Realizing the importance and the potential of the IOT and BDM in advancing the capability and competitiveness of the local automotive industry, MAI has initiated the MAI Intelligent Technology Solution (MITS) the IOT version for the automotive industry.

The platform will provide solution for engineering, manufacturing and marketing, able to enhance value creation process of the local automotive industry. With a single, easy-to-use interface, the platform provides solution using analysis, simulation, and intelligence software in a collaborative and interactive environment.

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