Analytics Team Claims Second Place in National Analytics Challenge

Business students take home national award in Association for Information Systems national analytics challenge

Exploring the Secret Garden: the growing importance of ICT in the home

The use of ICT (information and communication technology) in homes is growing faster than its use in schools and colleges-and there are already more systems in homes than in educational settings. This article argues that we should attempt to enter the area which most research on ICT in education tends to ignore: the secret garden of the learner at home. It is based partly on two pilot case-studies of secondary schools and a small sample of their students. Given the paucity of research in this area the article poses more questions than it answers. What are the implications of ICT use at home for teachers in schools? Do home systems interfere with school education or can they be used to enhance it! How should teachers respond to, and assess, work done using home ICT? Is the home situation widening the gap between one set of pupils (the "haves" of ICT) and another? Suggestions for school policies and action research for the future are put forward

Smart home energy management

The new challenges on Information and Communication Technologies (ICT) in Automatic Home Systems (AHS) focus on the methods useful to monitor, control, and optimize the data management flow and the use of energy. An AHS is a residential dwelling, in some cases with a garden or an outdoor space, equipped with sensors and actuators to collect data and send controls according to the activities and expectations of the occupants/users. Home automation provides a centralized or distributed control of electrical appliances. Adding intelligence to the home environment, it would be possible to obtain, not only excellent levels of comfort, but also energy savings both inside and outside the dwelling, for instance using smart solutions for the management of the external lights and of the garden

Smart Home and Artificial Intelligence as Environment for the Implementation of New Technologies

The technologies of a smart home and artificial intelligence (AI) are now inextricably linked. The perception and consideration of these technologies as a single system will make it possible to significantly simplify the approach to their study, design and implementation. The introduction of AI in managing the infrastructure of a smart home is a process of irreversible close future at the level with personal assistants and autopilots. It is extremely important to standardize, create and follow the typical models of information gathering and device management in a smart home, which should lead in the future to create a data analysis model and decision making through the software implementation of a specialized AI. AI techniques such as multi-agent systems, neural networks, fuzzy logic will form the basis for the functioning of a smart home in the future. The problems of diversity of data and models and the absence of centralized popular team decisions in this area significantly slow down further development. A big problem is a low percentage of open source data and code in the smart home and the AI when the research results are mostly unpublished and difficult to reproduce and implement independently. The proposed ways of finding solutions to models and standards can significantly accelerate the development of specialized AIs to manage a smart home and create an environment for the emergence of native innovative solutions based on analysis of data from sensors collected by monitoring systems of smart home. Particular attention should be paid to the search for resource savings and the profit from surpluses that will push for the development of these technologies and the transition from a level of prospect to technology exchange and the acquisition of benefits.The technologies of a smart home and artificial intelligence (AI) are now inextricably linked. The perception and consideration of these technologies as a single system will make it possible to significantly simplify the approach to their study, design and implementation. The introduction of AI in managing the infrastructure of a smart home is a process of irreversible close future at the level with personal assistants and autopilots. It is extremely important to standardize, create and follow the typical models of information gathering and device management in a smart home, which should lead in the future to create a data analysis model and decision making through the software implementation of a specialized AI. AI techniques such as multi-agent systems, neural networks, fuzzy logic will form the basis for the functioning of a smart home in the future. The problems of diversity of data and models and the absence of centralized popular team decisions in this area significantly slow down further development. A big problem is a low percentage of open source data and code in the smart home and the AI when the research results are mostly unpublished and difficult to reproduce and implement independently. The proposed ways of finding solutions to models and standards can significantly accelerate the development of specialized AIs to manage a smart home and create an environment for the emergence of native innovative solutions based on analysis of data from sensors collected by monitoring systems of smart home. Particular attention should be paid to the search for resource savings and the profit from surpluses that will push for the development of these technologies and the transition from a level of prospect to technology exchange and the acquisition of benefits

Integrating working at home with information systems management

The history of computerization has its origin in the automation of manual processes - searching out the segments that could be put on a computer. The intended result was that the entire job would be done faster and cheaper. Thus, current computer-based information systems tend to make more efficient use of computers than people. The management function, on the other hand, often seems to focus on competitive skills and salesmanship rather than on the ability to attract and hold talented people. But, such impersonal factors that have driven management practices are changing. There has been a complete reversal in the relative costs of one computer versus one employee. The cost of a computer is now a fraction of that of an information worker. Another change to be reckoned with is the emergence of computers as facilitators of human communications (Turoff, 1985). Since there are other costs besides salary that must be considered in maintaining the office workforce, some corporate managers are looking for alternatives to the traditional locational and temporal aspects of office work. Recognizing that technology for personal computing has progressed in just a few short years from video games to some very sophisticated applications, management may even consider if it would be beneficial to encourage employees to buy personal computers for use at home. One way to do this is a computer purchase program subsidized by the employer. There are many different views of what working at home really is; there is much conjecture as to the success or failure of such programs. This paper attempts to review the current literature associated with the subject of remote work and to provide a framework for further understanding. The author thanks Dr. Murray Turoff, professor at the Computerized Conferencing and Communications Center of New Jersey Institute of Technology, Newark, New Jersey, for his help and guidance in the preparation of this paper. The author also thanks Ms. Carol D\u27Agostino, Electronic Services Unlimited, New York City; Mr. John L. Johnsen, Integrated Resources Life Companies, Fort Lee, New Jersey, Mr. Ralph S. McCrae, Control Data Corporation, Minneapolis, Minnesota; and Mr. Charles W. Schmidt, Lift, Inc., Northbrook, Illinois, for their valuable input

Does asymmetric information cause the home equity bias?

The home equity bias is one of the many puzzles existing in international finance. This puzzle is characterized by the concentration of domestic equity in any investor's portfolio, which is in contradiction with the benchmark of full diversification in a world mutual fund. Based on Admati's (1985) and Gehrig's (1993) noisy rational expectation models, the author tries to explain the effect of asymmetric information in the home equity bias puzzle. While asymmetric information helps to explain the puzzle for the case of one domestic, and one foreign equity, this result relies on very restrictive assumptions. Using a model with one domestic asset and two foreign assets, the author illustrates that asymmetries of information are also consistent with home equity bias reversals. One proposition generalizes these results. Simulations corroborate the main theoretical predictions of the model presented by the author.Payment Systems&Infrastructure,Economic Theory&Research,Financial Intermediation,International Terrorism&Counterterrorism,Environmental Economics&Policies,International Terrorism&Counterterrorism,Economic Theory&Research,Environmental Economics&Policies,Financial Intermediation,Insurance Law