Business Intelligence

1. Articles

Write Up 1

The Internet of Things is a very hot topic at the present time. Most of the technology service providers are introducing their products into the market with the help of IoT. As per the write-up of A Beginner's Guide to Understanding the Internet of Things, it has been found that IoT is more than an internet connection between electronic devices to the user's smartphones and other devices (Cha, 2015). The goal of this thing is to make the service users smarter and deliver a good experience to them about the technology. For IT professionals, it is important for them to understand and know about IoT. There are different things that should be needed to know by IT professionals about IoT which are as follows.

Device Integration

At present time, the service users and IT professionals are already using digital accounts and passwords to manage their important information. The thing has increase the burden upon end users of the internet. Therefore, It experts should use IoT as an integration platform where they can solve the issues to the consumers during the use of digital technology devices by decreasing their extra burden and delivering good experience regarding things. To give totally connected experience to the clients and other service users, IT professionals should understand how to connect all the devices to each other so that it may improve the lives of the community and help the industries to take competitive advantages in the marketplace (Lui, 2015.). The reason for understanding device integration by It professionals is simply to improve the lives of end users.

Privacy and Security

Choosing a strong password to access different accounts is increasing the security issues for internet users nowadays. Privacy and security issues should be understood by Information technology professionals because a number of IoT cases grows day by day (Lawrence, 2015). For thing, they should need to consider vulnerabilities and privacy implications in smart and digital devices. It is important to under this thing by IT professionals because it can help in reducing the number of privacy and security issues with smart devices. IT professionals should develop some skills so that diverse sets of device weaknesses can be resolved and make them more improved and secure from external threats.

Analytics Expertise

In the present era, many organizations are using IoT as a technology to gather valuable information about customers. In the upcoming five years, it has been forecasted that IoT will contribute about $1.9 trillion to the international economy. In this context, IT professionals should collect different data and analyse it to determine trends and patterns in the demand for the use of the Internet in various aspects. IoT helps both job seekers and currently employed people to upgrade their knowledge about trends in the market (Bi, Da Xu and Wang, 2014). Along with this, IT professionals should know which kind of customer data is valuable for them and can refine and improve IoT devices working.

Write Up 2

The second write-up is related to Analytics, Machine Learning and the Internet of Things. In the technology world, the increase in the use of the internet and the integration of different digital devices with the internet have a direct impact on industries and effectively manage and utilize the information (Earley, 2015). Towards this, there are various aspects which should be required for IT professionals to know about IoT. The first thing that should be understood by IT experts is the challenges that are faced by the industries such as security, privacy, integration of different devices to one another, database management etc. IoT is a part of IT which helps in new innovations in IT sectors and delivers more easy and comfortable lives to the end users with time (Gubbi, Buyya, Marusic, and Palaniswami, 2013). As more and more devices connect to the internet, IT professionals are facing new issues and problems related to security and privacy. For IT experts, they should give not only innovative new digital devices. They should focus on the adoption and expansion of IoT for different companies so that it can be used for various purposes.

Another thing which should be understood by IT professionals is if a sensor has been implanted in a machine it can be the machine for no longer. After this, it is considered a SMART system that can measure and evaluate the data and other information in an effective manner. The reason for considering the above-stated aspect by IT experts is to help in the innovation of new IT technologies that can more than one device to the internet at a single time by minimizing the risk of privacy and security issues. On the other hand, IT professionals should know IoT capabilities. For example, with the use of IoT, it is easy to connect SMART devices with different home appliances. With the help of it, they can be easily controlled, monitored, optimum utilized of the resources etc.

2. Week #1 Assignment

Machine Learning

To understand Machine Learning (ML), the selected response from the given 12 responses is 8. The reason for choosing the following section is it has very well explained the difference between Log Data and Transaction Data and their role in ML. Log data is a simple process of entering the different log events which have taken place during a process. For every action or activity, a separate set of files can be prepared. For example, the time taken to start and complete a process of sourcing information, and the recorded time for each cycle have been mentioned. On the other hand, transaction data-related information can be obtained from different events of a company for which it is conducting business. It is to forecast the various business-related information such as sales, budget, customer revisit, inventory management etc. For instance, Gmail keeps all the records of all those system locations from where a user logged in. If he logs in again from a new location then it will show a warning notification to him to proceed in a further direction.

Machine Learning helps in analysing both Log and Transaction data and extracting essential information from it. The data obtained from these sources, it easy to draw a pattern that shows the changes between Log data and Transaction Data. For example, by analysing both data sources, it has been determined that in summer weather, children buy more ice creams. Here, with the use of ML, the store manager can increase the flavours of different ice-creams so that the sales of this product can increase in particular seasons.

Conclusion

From the two write-ups, it has been concluded that the Internet of Things has completely changed the meaning of Information Technology. It has delivered a huge platform to IT experts to integrate different smart devices with each other by using the internet. In this context, privacy, security, safety etc should be a major concern of IT professionals towards the use of IoT. On the other hand, Machine Learning has utilized both Log Data and Transaction Data to interpret data by comparing both of them.

References

• Atzori, L., Iera, A. and Morabito, G., 2010. The internet of things: A survey.Computer networks.
• Bi, Z., Da Xu, L. and Wang, C., 2014. Internet of Things for enterprise systems of modern manufacturing. Industrial Informatics, IEEE Transactions on.
• Chen, H., Chiang, R.H. and Storey, V.C., 2012. Business Intelligence and Analytics: From Big Data to Big Impact. MIS quarterly.
• Coetzee, L. and Eksteen, J., 2011, May. The Internet of Things-promise for the future? An introduction. In IST-Africa Conference Proceedings.

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