Expert Systems, Neural Networks, and Cloud Services as an Organization Database Sharing Platform – Assignment Example

The paper "Expert Systems, Neural Networks, and Cloud Services as an Organization Database Sharing Platform" is a wonderful example of an assignment on information technology. Collaboration and organizational innovation are important features of organizational growth. As far as the application of information systems and database technology are concerned, it is important that there exists a platform in an organization that would not only ensure that the means for creating and managing database it present but there should also be a platform for sharing the database across various components and departments of the said organization (Guo & Sanchez, 2005). It is in this sense that the cloud services offered by Google become highly useful and beneficial. In terms of collaboration, the cloud platform creates the avenue for the organization to have a single medium for creating, managing and monitoring its database. This medium can be shared among all departments and sectors of the organization as indicated earlier. For this reason, it is always possible to build a network within the organization where data from various departments will be collaborated into a single centralized system before forwarding it to Google’s platform (Locker, 2000). As far as the use of the database is concerned too, the platform put forth by Google cloud services makes it possible for all individual systems within the organization to have common access so that organizational roles and functions on the database can be undertaken on a collaborated purpose.  The other part of the merits that comes with the cloud services offered on Google’s website is that it makes organizational innovation more revealing. That is, it stimulates the act and practice of organizational innovation among the personnel within the organization. This is done in a number of ways. Because of the idea of bringing about collaboration, it becomes almost mandatory that every sector of the organization should be working on its own miniature database that would be forwarded into a centralized system before sending it to the Google database. This decentralized system eradicates the temptation that certain departments will be waiting on the centralized system to get all the work done. Rather, the innovative skill of every sector is quickened and brought alive as they all take up a role to deliver within the organization. What is more, features of the cloud services offered such as replication, patch management, and backups require that people within the system get themselves at the breast with the technological time to be able to live up such challenges. By so doing, creativity and innovation are highlighted among the people because they will be forced to live up to modernity and time.

Generally, expert systems and neural networks are both components of a technology-based management system that is rooted in the principles of knowledge management. This is because in both cases, there is that conscious effort by stakeholders to ensuring that the capabilities, insights, and experiences available to the human resource base are identified, nurtured, utilized and developed through the use of basic technology (Guo & Sanchez, 2005). As far as expert systems are concerned, it could be said to be tilted more towards artificial intelligence that allows for the use of computer system to undertake the basic processes of decision-making that would have otherwise existed for the human resource to undertake. The process is referred to as expert systems because, in its delivery of work, it functions and undertakes processes as a human expert would do. The capabilities available in expert systems thus have to do with the fact that it does not use logical procedures of developers but use consequential logical reasoning to solve complex problems. In the long run, the inadequacies and weaknesses of the creator of the systems are overshadowed by the complex reasoning capabilities of the system and this is a huge advantage to users of expert systems.
A neural network is also attributed to artificial intelligence in the manner in which it uses the artificial basis of the biological concept of neurology to solve basic technological problems of modern practice. Neural networks could thus be referred to as interconnectivity of artificial neurons that uses basic programming constructs to replicate the functions of biological neurons to bring forth solution without necessarily creating models of the real systems of which they function (Tourish, 2010). This capability of the neural networks to skip the creation of models of the actual system has been identified as a major focus for knowledge management. This is because knowledge management deals with the availability of different types of knowledge and how this knowledge is used, and neural network also presents a new dimension of knowledge that does not deal with the direct model of the real system being dealt with. It could, therefore, be concluded that neural networks help in bringing about not just an alternative knowledge but the combination of both tactic and explicit knowledge (Lutgen-Sandvik, 2010). In sum, even though expert systems and neural networks may operate from different dimensions, they are both directed at using new forms of knowledge to bring solutions within the information system that exists in any given organization.