Essay on Controversial Agents in Business Communication Models

Controversial Agent in business communication models often presents some of the most exponentially revolutionary solutions that undermine business performance. With the benefits of these Chatbots, organizations risk a lot in terms of implementation, reliability, and efficiency. It is for this reason that controversial agents pose a great threat to optimum business efficiency. It is therefore in the interest of businesses looking to migrate to digital platforms of communication to examine the cost-benefits of implementing controversial agents.

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In the context of Business Communication, there are several departments that work collaboratively to ensure that business objectives are met. One of the most information dependent and information sensitive departments is the customer service department. It realizes recurrent messages from end users of a product with multiple queries concerning the product. The customer service department also ensures that there is a constant communication with costumers who would wish to employ the services of buying the products that companies offer. It is therefore very critical that such a department have an efficient communication system.

Traditionally, companies made offers through advertisements on different media and then offered customer help through telephone calls. As companies and technology have developed, the methods through which companies can communicate to clients are limitless. From the electronic mail to live to blog, companies have the capacity to reach millions of clients at an instance. In taking advantage of technology to expand the business. It has become apparent that many companies require a lot of employees to deliver customer assistance.

Lags in customer care lines and piles of mail have pushed companies to the use of electronic mail, direct messages and even live blogs like Twitter. While the result has seen significant benefits to company productive and customer satisfaction, it is becoming difficult to find qualified personnel to work with these technologies and more costly to train employees on the same. With the problems that technology has realized so have the several solutions been brought up. Artificial Intelligence is such a technology.

Artificial Intelligence

Artificial intelligence is an intelligent machine that can rationalize different requests and return solutions or arguments. The ability to rationally process requests has placed the technology at very critical management positions in a number of industries. The term Artificial Intelligence encapsulates the cognitive mimic of machines. The ability to take in information, learn about different subjects and arguments and solve problems allows such technology to be applied in business communication. The benefits of the use of such technology are evident. However, it may be important to look at the risks that such technology poses to business function and quality of communication.

Machine Learning

Machine learning is another controversial agent that can be applied in improving the communication in businesses. Machine learning is an adapted method of cognitive learning that stems from genetic algorithms. Genetic Algorithms defines human evolution and the ability of the human mind to act a general purpose problem solvers. These two qualities have advanced human beings to develop some of the most complex structures and empires in the world. In automation of business functions, it is important to consider the evolutionary nature of businesses as they grow and how many challenges businesses face as they progress in their growth.

Machine learning borrows from Genetic algorithms as it attempts to process data into information it understands and learn from the challenges it faces and failures it endures in solving business problems. Taking the example of customer care, the language and words that people use on a daily basis are ever-growing and often very many. Maintaining a dictionary from which all keywords are matched is not enough in a business context. It may be valuable to look into methods that enable machines to evolve with the language that consumers may decide to use in interacting with the system

Evolutionary algorithms, therefore, come into play. They are able to apply the rational processing of human beings in trying to relate with customers. It is important to ensure that the differences in the one person talk are unique from the next. Given this disparity and variance in the speech that customer care departments realize, implementing evolutionary algorithms may be a better recourse as more person will be able to get the response from customer care service.

One way of to understand machine learning is differentiating between logical cognition and computational cognition. A lot of the mechanisms that are applied to digitizing data have been known to observe rationality and base the resulting output on the information that is entered. For instance, in logging in to an account, the machine does not simply get the context in which access is being requested but allows access after the validation with a predefined code. Machine learning allows a program to look at the context of the request, interact with the external variables and make decisions based on both predefined data and cognitive computation. It is in this way that machine learning has advanced Artificial intelligence and offered important insight on the potential of controversial agents.