Decision support system is especially conducts with computing elements which mainly depicts successful report of a company. This system allow to the application of technological development and software application to maintain ethical ways of business practices. The major types of DSS are document driven DSS, model driven DSS, communication driven DSS, data driven DSS and knowledge driven DSS. These types are mainly impact on business practices which finally creates systematic effect on advance production. Graphical interfaces and artificial intelligence are major aspects in this decision making procedure. In the following part of the study, the challenges of using a decision support system in a business has been illustrated in an extensive manner. There are several types of challenges which are crucial before using DSS in a business. For a decision maker, that individual should follow and be aware of technology implementation within a business for a certain manner. Also, required elements of the decision support system have been discussed with the help of proper insights. Also, the study has served with discussion and conclusion to the following topic.
A virtual representation of a system is referred to as digital twin technology. Digital twin technology helps a company to enhance their rate of production and profitability in global market. Temperature and vibration sensors are used by an organisation with help of this digital twin technology. Manufacturing sector, healthcare, automotive and energy related industries are benefited by this digital twin technology. Importance of digital twin technology is mentioned in this study. Everyone can easily gather a brief idea about this process. Every industry tries to implement digital twin technology in workplace. Implementation process of digital twin technology is discussed critically here. Quality and quantity of products are managed by this digital technology. Digital twin uses several types of technology like: IOT and AI. Proper internet connectivity is needed for this particular process. For this reason every company may not be able to maintain this process. High amount of money is required for an organisation to implement this process. Small companies cannot be able to use digital twin technology. Importance of AI and IoT is also mentioned in this study for using this particular technology across the world. Keyword : Digital twin technology, IoT, products, process.
The core of the e-learning process in the education sector is recognised as the reason behind the success of technology in the present situation. Identifying the negative impacts of e-learning on the student's mental health is the foremost principle of this study. Qualitative research has been selected for getting a favourable outcome from the study which is selected with the help of explanatory research design. Despite the positive impact of e-learning on the development of the learning process, hampering the mental health among the students is considered as the factor which decreases the quality of the technology for educational purposes. Most of the information gathered and represented in this research are from very recent sources which are published in or after 2018 which helps in maintaining the authenticity of the research. Anxiety, stress and lack of interest in the learning process are identified as the negative impacts of e-learning on the mental health of the students. Covid-19 is considered the reason which enhances the negative impacts of technology especially mental health issues among students. The negativity of these technologies in the learning process reduces the implementation of e-learning in underdeveloped countries. Keyword :Anxiety, Communication, E-learning, Lack of interest, Mental health, Mental issues, Stress.
There is perfect role of artificial intelligence (AI) in Internet of things (IoT), and this get better result in the technological advancement processes. The major features of AI such as perception, deep learning, feature engineering, natural learning processing and robotics can make an effective development and establishment. There is major development can be featured with the technical process and this is possible with efficient application of AI in IoT. In this way business operation get feasible and this effective possible with the perfect intelligence. The bug data analytics and advanced techniques of technology can be maintained with the help of various new application which are especially be possible with proper management. Recent report has shown that revenue has been increased with the application of IoT. The main trends as also been used data driven which is combined with IoT to get better intelligence in major business conduction. This assist in maintaining huge growth in future development and also leads to the betterment in manufacturing procedure. Keyword : Artificial intelligence, Internet of things, Business operation
The study is based on the cyber security using data mining in a certain manner and all the insights have been taken from reliable resources which are related to the subject matter. At the beginning of the following article, the, the introduction has been served over the following topic of the cyber security and data mining in business. Also, in the following context, several kinds of materials and methods have been selected and evaluated to bring betterment in the study. The cross-sectional research design, inductive approach, secondary data have been selected by following the qualitative method. At the beginning, the data mining and cyber security have been represented with sheer elaboration and then the importance of data mining techniques within the business has been illustrated within a certain manner. After this, different kinds of usages of data mining techniques like detecting malwares, intrusions and virus attacks have been depicted in a certain norm of data mining techniques. Later on, the following study has been evaluated with the help of proper and authentic interpretation of the rate of cyber security within a business.
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