Discuss About The Learning Intelligent Decisions In Internet.
The use of the internet of things technology has changed the world and the way people look at things. The tasks have become much easier and the way of working has changed for people. However, for the proper working of the internet of thing technology and for the proper implementation it is necessary to take the important intelligent decisions and make the choices. The purpose of the report is to present how can these intelligent decisions be taken (Sellak et al., 2017). The use of the machine learning technology will be made in order to make the intelligent decisions. The use of the internet of things can be made in the various field such as the smart city or the smart street lightning. The main purpose of the report is to address the problems that may arise in the internet of things and how those problems can be removed (Meidan et al., 2017). The machine learning technology is such that if any of the solution is not present in the system then the solution gets added to the system and the next time if the similar kind of issue occurs then the solution is put forward automatically.
The main idea of the report is to discuss about the usage of the machine learning technology for the making of the intelligent decisions in the network of the internet of things. The report contains a literature review, which discusses the recent and the past works of the topic. The report then discusses the methods that can be used for the proper implementation of the machine learning concept. The best method that can be used for the implementation of the machine learning concept in a proper manner is also presented in the report.
The use of the machine learning technology needs to be made as the organization are not able to make the proper decisions, which often lead to the downfall of the organization. The additional cost for the installation of the machine learning technology implementation is required by the organization. The machine learning also cannot solve the issue that has occurred for the first time. The other major issue that is faced in every sector is the cyber security problem(Von Solms & Roussel, 2015). The previous solutions to the various issues of the cyber security may be checked and can be compared by the help of the machine learning technology and the best solution for the elimination of the cyber security issue is put forward.
The problem that maybe involved in the report is the implementation of the machine learning for the solving of the problem. The machine learning technology compares the data that is present in the system for putting forward the solution. The use of the technology is made for the comparison of the various data and information. The problem occurs when there is no previous data or information available on the particular topic (Hossain, Fotouhi & Hasan, 2015). In this case, the use of the machine learning technology would not be able to put forward any of the solution as there is no data to compare with or there is no solution present that was previously used. The use of the machine learning technology cannot be obtained in the case of solving cyber securities also as if any of the new cyber attacks occur then the machine learning technology would not be able to refer to any of the solution to suggest for the overcoming of the cyber security issue. This is a major problem of the machine learning technology otherwise which technology is very useful for the determination and providing the best solution available. The other problem may be the making of the intelligent decisions in the internet of things (Suthaharan, 2014). The internet of things consists of a large and complex network, which involves the interaction with the other devices. In this complex network it is difficult to make the intelligent decisions. The use of machine learning can be made. However, the decisions may not be in accordance to the requirements. There are a large number of intelligent decisions that needs to be taken at a short span of time. The making of the intelligent decision is a continuous process that is the end of a process leads to the start of another process. At each step there is a decision that needs to be made and this is a complex process. The internet of things is a complex process that has a large number of devices connected to the network (Meidan et al. 2017). The large number of devices interact with each other and the communication among the devices helps in the carrying out of the various functions. However, the large number of devices makes the structure and the working of the technology complex. A problem in one of the system may cause a problem in the whole network. These problems needs to be addressed for the proper completion of the project.
The report discusses about the process in which the use of machine learning technology can be made for the making of the intelligent decisions in IoT. The report presents the idea of the machine learning and internet of things individually. The structure of the report is:
The literature review presents the use of the machine learning concept. The review presents how the use of machine learning has been made in order to carry out the working of the organization and present how the use of machine learning can be made in order to make the various important decisions. Two organizations namely Google and Iris has been selected in order to make the topic more clear. Both the organizations are well renowned organizations which are responsible for the use of the machine learning in the field of internet of things for the better making of the various smart decisions (Jeschke et al., 2017). In the literature review the working of the various organizations are involved which helps in the better understanding of the concept of both internet of things and machine learning. The various methodologies that may be used for the betterment of the problem that was stated. The various methodologies have been discusses in the later part of the report in detail. This part speaks of the methods in brief. The mention of big data and cloud has been made here as a method for the proper use of machine learning in order to make the intelligent decisions.
The use of the machine learning concept has been made by the various organizations right from the past in order to make smart decisions and uphold the reputation of the organization. The use of the machine learning concept for the better decision making in the internet of things field is an advanced concept that is applied by the various organizations in the recent times. The IOT concept is being implemented by the various organization for carrying out of the various business operation (Kim et al., 2017). The use of the concept of internet of things is being made by the different industries and the consulting services. However, the implementation of the internet of things concept is not an easy task as the various decisions has to be carried out by the organizations. For this reason, the use of machine learning concept is included in the internet of things field. The data analysis that is made in the field of internet of things is the new advancements. The solution that is presented by the internet of things presents the view of the data of the organization. The use of the machine learning concept for the decision making in internet of things refers to the viewing of the previous data and comparing the various solutions in order to know the answer about the problem (Lee, Kao & Yang, 2014). The use of the machine learning is made when the large amount of data has to fed into the cloud by the use of the concept of the machine learning methodology. The use of the machine learning concept is made in order to check the previous data and based on the data the various predictions may be made such as those that is related to the weather or that to the environment. These predictions are often used by the various organization in order to take the important decisions such as those that is related to the launch of the products or the broadcasting of the advertisement related to the products. The use of the internet of things concept in an organization is made in order to provide the information about the data of the organization (Li & Li, 2017). A much better application of the internet of things is when the use of the technology can be used to predict the next step of the organization. The next step that has to be taken is put forward by the internet of things concept if the use of machine learning is implemented in this field.
The Google organization had made the use of the concept of the machine learning in order to make amendments and take the organization to a much larger stage. The use of the machine learning is made by the organization in order to gain the competitive advantage over the other organization. The various decision making that have to done by the Google is only possible by the use of any advanced technology such as that of machine learning. By the use of the internet of things the large number of devices can interact with each other (Kim et al., 2017). The management of this large number of devices is done on the basis of the previous data that is available. The use of the machine learning concept helps in knowing the fact about the management of the large number of devices. The Google implements the various recent technologies. The use of the correct technology for the correct task is also implemented by Google by the use of machine learning concept. The use of the machine learning concept helps in the making of the decision as to which technology has to be selected.
Google implements the various concepts such as the speech recognition or the concept of the Google assistant implements the machine learning concept in order to know the technology that has to be implemented for the proper working of the concept. The search results that has to be put forward is done on the basis of the machine learning concept. The use of the machine learning concept is made on the concept of the search results that is put forward. The use of the machine learning concept deals with the search result that has to be put forward. As the user searches for a particular result there are a large number of results that is possible (Karwowski & Ahram, 2017). However, intelligent decisions has to be taken in this case as to which search result is to be put forward such that the requirement of the user is met. The use of the machine learning helps in the taking of these type of decisions. The use of the machine learning technology helps in the knowing of the fact which data has been viewed on the most by the users. On the basis of this research the use of the machine learning the most relevant solution is put forward. The use of the machine learning helps in the checking of the information regarding the various search results that is found and on the basis of that the best solution is put forward.
The requirement of the project must be met so that the outcome of the project is achieved in a proper manner. For the proper achievement of the requirement of the project there should be trained personnel who can handle the system of the machine learning. The proper machine learning concept of the internet of things field is applied by the trained professionals. If the trained professionals do not handle the machine learning concepts then there may be drastic steps that may take place due to the improper work conducted by the professionals. The reputation of the company is at stake when the processes are carried out. The use of the machine learning concept should be reviewed after the application by any of the trained professionals. The various machines are connected with the help of internet of things technology. This means that the various systems of the organization implementing the internet of things technology are connected to each other. The improper working of one of the system means that the other systems may not be working in a proper manner (Fadlullah et al., 2017). If the network of one of the system is hacked then there is a chance of the other system that is connected in the network of being hacked. The proper security issues is also put forward by the use of machine learning. The use of the machine learning is implemented by many of the organizations in order to know the solutions for getting rid of the issues related to cyber security. The machine learning gives the solution based on the previous solutions that is available in the system.
The problem statement of this report state the various problems that the organization face in the making of the intelligent decisions. The organizations look forward to the developed technologies in order to make the various decisions that is critical to the organization. The organization has a number of decisions regarding the various products or on the basis of the profitability calculation (Dunaway et al., 2017). Many of the organization is making the use of machine learning in order to gain the competitive advantage in the market. The use of the concept of machine learning helps the organization in the making of the decisions related to internet of things. The Iris is one such organization that connect to the various customers through the medium of internet of things and make the use of machine learning in order to carry out the work of the organization. The work of the Iris organization is to review the various articles that tries to hide the actual data. There are various authors who manipulate the various information and give the statements without any of the reference or evidence. The use of machine learning helps the organization in checking the data of each of the article and reviewing whether the given information is correct or not. The help of the internet of things makes the contact with the various customers (Ding et al., 2018). The review of the various articles is communicated to the various customers by the help of the virtual agent, which is an implementation of the concept of artificial intelligence communicating with the help of internet of things technology. There are a large number of customer who visit the website of Iris and contact with the organization in order to know the actual data which are otherwise lost.
There are various technologies and the concepts that are implemented in the machine learning concept in order to apply the concept in a proper manner. The use of the big data and cloud computing is often made for the proper implementation of the machine learning concept. The machine learning for the proper working have to view the large amount of data. The use of the big data has to be made for the proper storage of these data. All the data involved in the particular process has to be stored (Bonnefoi et al., 2017). Thus, it is necessary for the organization for the storage of the information in a proper manner so that the information can be later referred to later for the proper knowledge of the data. The use of big data will help in the proper storage of the data. The big data technology will not only help in the proper storage of the data but also in the management of the data. There may be an issue that is associated with the use of the big data concept. The use of large amount of information may make the big data to crash and the data and the information that may be lost. For the protection of the data, the use of cloud may be made. If the data and the information is uploaded to the cloud then the chances of crash of big data and the loss of data is minimized to a large extent. The cloud may also be used for the security purpose. The use of the big data and the cloud concept may be used either for the storage and the management of information is explained in the methodology part in detail (Bello & Zeadally, 2016). The use of the machine learning concept in the organizations such as Google and Iris give the idea of the use and the power of the machine learning concept and help in stating the fact that the use of machine learning has been made from the past to the recent times. The use of the machine learning has been made by the organization from a large span of time.
The use of the machine learning concept is not only made for the making of the important decisions in an organization. The use of the machine learning concept has been extended to the internal of the organization where the other important decisions are made on the basis of the results of machine learning technology. The calculation of the profit has to be made in order to take the decision as to in which project the investment has to be made (Baldini et al., 2015). The use of the machine learning concept has been made so as put forward the best result that is possible for the organization. Many of the organization implements this concept in order to know the best possible project for the business. The use of the machine learning also helps in the putting forward of the decisions related to the team building and the management of the team. The choice of the leader is also made on the basis of the implementation of the machine learning concept by viewing the data that is present in the system regarding the various employees (Baron & Musolesi, 2017). The decisions regarding the investment in the various raw materials are made on the basis of the data and information that is provided by the machine learning technique. The use of the machine learning concept is in a wide range of fields. It is mainly used for the making of intelligent decision in the internet of things concept. Thus, the use of the machine learning can be made in order to not only make intelligent decisions by the organizations but also within the organization.
There are a number of methodologies that can be put forward for the proper implementation of the internet of things technology The use of the various technologies has been made in order to use the concept of the internet of things in a proper manner (Rathore et al, 2015). The use of the internet of things technology helps in the identification of the usage of systems and the communication among systems. A large number of systems are present in the network of the internet of things. The use of the methods has made the use of the internet of things more efficient and effective.
The first method that can be used is the concept of big data. The use of big data can be made for the storage of the large amount of information. The use of big data helps in the identification and the management of the large volume of data (Sadeghi, Wachsmann, & Waidner, 2015). The use of big data is necessary as a large amount is stored for the communication among the large number of systems of the organization. The use of the big data technology helps for the large amount of data. There are a large number of data and information that is stored in the various system of the organization. The storage of this large amount of information requires a large volume such that the data that is stored can be used later. The use of database management system cannot be made for the storage of the information (Sarker et al., 2016). The use of the database management cannot be made as the database management technology is responsible only for the management of the structured data. The big data has the advantage over the database management system that the big data technology can be used for the management and the storage of the structured as well as unstructured data.
The second method that may be used is the technology of cloud computing. The use of the cloud computing technology can be made for the storage of the data if the project concerns the large amount of data. The big data may crash if too large data is required. The use of the cloud computing is made for the storage of the data (Sengupta et al., 2017). The use of the cloud computing technology presents the advantage that the use of the cloud computing technology does not consume the space of the system. All the data that is present is uploaded to cloud and thus does not require the consumption of the storage space of the system. The cloud computing method not only helps in the efficient storage and efficient space management but also helps in the protection of the data and the information that is stored in the system.
The third method that is presented is the use of the strategic information system. The use of the strategic information system helps in the planning of the structure and architecture of the various systems. Other than the planning the use of the strategic information system can be made for the protection of the data and the information of the system (Sicari et al., 2015). The use of the concept of strategic information system can be made in the various forms. The use of the concept of strategic information system may be made in the machine learning as the proper planning of the data storage and the proper planning for the use of the data under a particular topic.
The other useful and powerful technology that can be used is the use of the artificial intelligence. The artificial intelligence is responsible for the storage of the large volume of information. The artificial intelligence helps in the protection of the network in which the large amount of systems are connected (Sonntag, Zillner & Lörincz, 2017). The artificial intelligence puts forward the best possible solution for the protection of the data. The use of the artificial intelligence helps in the detection of the various issues that may arise in the systems of the internet of things network. The use of the artificial intelligence also helps in the efficient use of the various systems for the communication among each other.
The last concept that is being considered and is increasingly becoming the most used technologies in the field of internet of things technology is the idea of NodeMcu. Here, in this concept the use of the nodes are made and the use of graphs are made for the proper implementation of the data (Sridhar & Smys, 2017). The use of graphs define the quantity of the data that is used. The use of this concept is important as the use of the concept helps in the easy connecting with the various servers that are present. This technology also includes the use of the Blynk storage, which helps in the pushing of the various forms of data to the different platforms o cloud. The NodeMcu is an open source of the platform of interne of things that help in the various operations by the use of microcontroller.
The use of the machine learning concept can be made for the improvement of the various kinds of performance. The use of the various technologies such as the big data and cloud computing helps in increasing of the efficiency of the systems that are connected by the use of internet of things. The machine learning concept individually helps in the increasing of the efficiency of the technologies (Terry, 2016). The use of the various other concepts that is the use of concepts such as strategic information system, artificial intelligence, big data and the other similar technologies helps in the increasing of the efficiency to a large extent.
The working of the machine learning concept is simple. The use of machine learning technology helps in the providing of the solution for the various tasks by the comparison of the previous solution. The use of machine learning can be made in the various fields and the concept and working is simple (Wang et al., 2016). The use of the machine learning technology along with the other technologies helps in the simplification of the tasks. The use of the various advancements in technologies helps in the contributing to the various projects and helps in the simplification of the tasks.
The use of the concept of internet of things helps in the saving of the time to a large extent. The use of the internet of things helps in the saving of the time greatly. The use of the internet of things helps in the communication process at a fast rate and helps in the reduction of the cost and the time. The internet of things is an advanced concept is an advanced one that contributes to the saving of the time to a large extent (Wu et al., 2014). The use of the other technologies along with the technology of the machine learning helps in contributing more to the reduction of the time. The proper data management by the use of the various advanced data such as those of artificial intelligence and big data helps in the saving the time more as the management of the data does not involve a large investment of time.
The security is an important issue that has to be addressed in a proper manner. The use of the machine learning helps in the putting forward of the solution in order to protect the data and the information that is present (Zhang et al., 2014). The various solutions that are given by the machine learning process may be used for the security purpose. The use of the cloud computing technology helps in the security of the purpose of the various networks or systems. The use of artificial intelligence can also be made for the implementation of the security issues.
The use of machine learning helps in the knowing of the best solution that is possible for a particular project or for a particular task. The report uses the concept of the use of machine learning for making of the various important decisions in the organization. The important decisions may involve the various intelligent decisions that are used by the organization for the proper functioning and running of the organization. The use of the machine learning concept may help as the use of the machine learning technology a large number of data, that are stored from before are viewed and collected (Zhao & Ge, 2013). The use of these data and information are then made for the future use and the making of the important decisions. The various intelligent decisions may involve the decision that is related to the profit of the organization or the various important decisions that have to be taken in relation to the investments, the cost benefit analysis and the various other important decisions.
Among the methods that has been mentioned the use of the big data and the cloud computing may be made in this case (Zhong et al., 2017). The use of the big data is made as the use of big data helps in the storage of the large amount of information. The large amount of information is related to the use in the machine learning. The concept of machine learning uses a large number of data for the putting forward of the best possible solution in a particular field. This data needs to be managed in a proper manner, as the data is important for the future use. The big data technology helps in this functioning for the storing and proper management of this large volume of data. The use of cloud computing may also be made as the medium for the storage of data (Zhu et al., 2015). The cloud computing can store information that is contained from a long period of time. The use of cloud can be made also for the security purpose. The use of the cloud computing technology is made in the storage of the data in the cloud which helps in the prevention of the data in case of any attacks that may take place.
Conclusion:
From the report it can be concluded that the machine learning in IoT can be used to make the various important decisions. These decisions not only involve the decision on expanding the business or how to make more profit but also involves the other important decisions as well. The other decisions may involve are the prevention of the breach of the data by the external or the internal user. The retrieval of the data and the comparison of the data is the important part for the processing of the data. The internet of things comprises of a large and complex connection of the systems. Thus, the systems are responsible for the storage of large number of information and the data cannot be easily analyzed and cannot be easily checked. Thus, for the checking and the analysis of the data the concept of the machine learning technology is used in order to analyze and compare the large chunk of data easily and fast. The best solution is put forward in an automatic manner by using the method of machine learning. The various methodologies are implemented, which helps in the making the intelligent decisions in an easy manner. The implementation of the cloud computing technology has been put forward as this methodology can use the machine learning in the IoT to make the important decisions. The methodology can be used not only to analyze the large amount of data but also to provide the solution of the risk, which may occur to the organization. The machine learning is thus helpful for providing the solutions to the various decision on the basis of the data analysis.
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