Recommender System Application Developments †MyAssignmenthelp.com

Question: Discuss about the Recommender System Application Developments. Answer: Introduction In order to gain long traditional as well as cross departmental collaboration in the operational areas of businesses, Artificial Intelligence (AI) plays active roles. It helps to achieve long-term sustainability and due to presence of the organizational, economical and social drivers the functional and operational activities of the Information technologies gets enhanced. The report depicts the importance of implementing AIS in the business organizations for increasing the net revenues structure and operational activities as well. Apart from the operational activities the associated difficulties are also elaborated in this report. In addition to this, the advantages and disadvantages of Accounting Information System (AIS) over the traditional business processes are also illustrated in this report. With the help of different information systems such as DSS, MIS, AIS, Expert system and Neutral network and Transaction processing system how values can be added to the business are also illustrated in this report. Moreover, it can be said that AIS provides relatively new approach to the business owners for resolving the business issues. Difference and similarities among four different techniques Managing information system Decision support system Expert support system Transaction processing system It helps to process information. Professional analysts and also the managers of the business organization. The impetus is effective in case of managing information system. It uses special kind of database management system (Michalski, Carbonell and Mitchell 2013). It helps to make analysis and support decisions. The impetus is effective in case of MIS also. The system can be used by middle, lower and even by the senior executives sometimes. It helps to access status for analyzing data and produce recommendations for increasing the business revenue. For environmental scanning, performance evaluation and In order to identify issues and opportunities EIS is used by the business organizations (Bhandari and Gill, 2016). In order to collect, store, display, modify and for even cancel transaction TPS is used by the businesses. The information used in this system can support the management in specified situation. For planning, organizing staffing and controlling MIS is used. The different applications served by the MIS include production control system, sales forecasting, financial analysis and human resource management as well. The companies use this technology use corporate database. NA The data served by the EIS/MIS are used as the input to the DSS. The information can also be programmed in the DSS also. Basically for controlling the total system MIS is used by the business organizations and the information managed by the system include scheduled, demand report, structured flow and internal operation flow (Imran et al. 2014). NA Due to the large computational capability the MIS can model language and simulation, model generator and application as well. The information provided by the MIS can be manipulated and summarized as per the requirement of the users. the MIS can be constructed with the help of IS specialist. NA Similarities between the techniques After analyzing all four different techniques it has been found that, certain similarities and differences are associated to the technologies. The similarities among the technologies are as follows: Both for the semi structured and unstructured data the technologies provides general support. Due to the usage of qualitative data, the problems of DSS are often characterized with the help of uncertain knowledge (Yu 2016). For the presence of different modeling tools various alternative scenarios can be modeled and even compared. On the existing transaction processing system the modeled reporting system is referred to as more and more sensitive by nature. The MIS is also used to take decision over both the unstructured and structured information. Though MIS is used in the tactical level but still in other operation levels also this system is widely used by the business owners. Both EIS and DSS use special database management system for managing the data. The impetuses are effective in case of both MIS and DSS. Moreover, it can be said that, in order to take efficient business decisions DSS, MIS, AIS and ES and TPS all are beneficial. After vast analysis it has been found that different management level as well as operational issues are associated to the information system that are widely used by different business organizations (Castelli, Manzoni and Popovic 2016). It has been found that currently the two major challenges faced by the business organizations include information oriented challenges and information management oriented challenges. From different information technology management community the required ranged support re provided to the developers and to the business owners also. Apart from this the main difficulty with the AIS are as follows: Lack of training: Due to lack of training and development programs the users might fail to handle the AIS accurately and for this reason the system will not be able to serve according to the requirement of the users (Karaboga et al. 2014). Lack of security: Security is one of the major concerns that are needed to be considered by the management authority of the businesses to gain measurable success and structured revenue as well. Due to lack of security the system might fails to keep the confidentiality and sensitivity of the information stored in the data server (Kim, Lee and Lee 2013). If proper encryption and authentication algorithms are not adopted by the management authority then the external attackers can easily hijack the information stored in the organizational server. Lack of communication: If the IS development team member fails to interact with each other properly then due to improper communication the developers will not be able to share their views with the other team members (Tseng and Hu 2014). The information system will be negatively impacted due to lack of communication. Lack of technologies: If proper technologies are not used by the system developers then the business organizations will fail to contribute the required requirement to the users. Not only during the technology but also at the time of information transformation the information might get lost from the server. The lost information cannot be easily retrieved by the system developers whenever required. Accessibility issue: For both the unknown and known location of the distributed information, accessibility issues might arise. In order to mitigate this issue data warehouse, data integration and integrated application are required to be implemented by the system developers (Pannu 2015). The other relevance issues associated to both the semi structured, multimedia and unstructured data relevant search engine indexing are required to implemented by the business organizations. Due to the presence of different options, option overload issue also might occur. Identification of different advantages and disadvantages with AIS over traditional business processes From analyzing different technologies of Information system it has been found that, the issue associated to traditional business process can be easily mitigated after the adoption of the information system to the business operations. Both advantages and disadvantages are there in case of the AI system. The advantages and disadvantages are as follows: Advantages: the chances of error occurrences get reduced after the implementation of the AIS. The program exploration process AIS is very much difficult. On the other hand, the daily application, repetitive jobs and digital assistance are also very much effective in case of AIS. Even for medical applications also AIS is very much efficient (Holsapple, Lee-Post and Pakath 2014). The language to others exists but these applications are not as much beneficial as the others. It acts as a translator it means that the voice recognition system can convert the spoken power as per the requirement of the consumers. The system can act as diction and the system the capacity of the system are completely limited. In both simple and complex systems, this machine can be used. After adoption of the system the task can be completed faster than the traditional one (Pannu 2015). The users can access the server regardless of their location and time as well. Disadvantages: The disadvantage associated to the system implies that the system is very much costly and even during the implementation and maintenance also the cost required for the system is very high. Another issues associated to the system are lack of security. Due to lack of security, the information stored in the server might get hijacked by the external attackers. Not only this, but also another disadvantage is it cannot replicate humans (Tseng and Hu 2014). The number of employee turnover and the rate of unemployment get increased with the help of the application of AIS in the business organizations. No such additional improvement can be implemented, with the creativity and even with the changing experiences the creativity cannot took place. As per the system requirement, it has been found that the business that is selling specialty teas through both online and offline business operations (Brick and Click stores). Four different types of artificial intelligence systems such as limited memory, reactive machines, theory of mind and self awareness are there. Whether similar AI will be used for different business types From the business analysis, it can be state that for different business departments Thus from the operational and functional feature of the systems it can be said that for different departments same type of artificial intelligence system cannot be used. Such as in the human resource department the self awareness means type 4 artificial intelligence should be used whereas; in the financial and audit department of the business organizations, reactive machines should be used (Piltan et al. 2013). On the other hand, in the management and creative departments limited memories are needed to be used by the business organizations. In the small specialty businesses, there are many places where, decision support system can be used frequently. In order to take managerial business decisions, different business organizations use the Artificial Intelligence (AI) system (Holsapple, Lee-Post. and Pakath 2014). Different ways re there through which decision support system can add value to the system The decision support can add different values to the businesses, through which the DSS and AI can add value for reducing the terms of Porters value chain theory. The general troubles with new IT approaches are all increasing and thus the new approach should be comprehend and acknowledged by the developers (OLeary 2013). In addition to this, individuals must be prepared to utilize the new framework. Human creation is the explorations of making machines imitate human intuition and conduct. The computerized AIS frameworks that organizations utilize the most can be arranged to accompanying real classifications such as master fr ameworks, neural systems, hereditary calculations, and operator based innovations (Wang et al. 2016). It could add values to the business systems. A few points of interest of computerized reasoning frameworks are imply that it can be autonomous, remain solitary basic leadership frameworks, or they can be installed into a bigger examination framework, in order to execute particular capacities. A process would be a robot need judgment skills. If the developer somehow managed to offer claim to fame teas, then he or she would utilize a similar sort of AIS framework in each piece of the business since they are offering comparable things. From analysis it has been found that choice support or human created strategies would profit a private company since it would be costly and independent companies have fewer assets (Russell, Dewey and Tegmark 2015). Choice emotionally supportive networks have three different segments comprising of: a straightforward and simple to-utilize graphical User Interface, access to a lot of data, and models and devices that can be used to erase data. According to the fundamental contrast between running a business concern and a little claim to fame business security that would help to measure the data is gathered. It will add value to the business operations. Conclusion From the overall discussion it can be concluded that in order to gain measurable growth from the competitive business market and for develop the business operations implementation of accounting information system is very much necessary. The issues faced by the organizations in the traditional days can be mitigated after the adaptation of the Information System. Both structured and unstructured information can be managed well by the management authority after the adaptation of the system. References Bhandari, R. and Gill, J., 2016. An Artificial Intelligence ATM forecasting system for Hybrid Neural Networks.International Journal of Computer Applications,133(3), pp.13-16. Bui, D.T., Bui, Q.T., Nguyen, Q.P., Pradhan, B., Nampak, H. and Trinh, P.T., 2017. 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