Artificial Intelligence in Business: How has AI affected business? Use and implications of autonomic computing for business information systems

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ACKNOWLEDGEMENT

I would take this opportunity to thank my research supervisor, family and friends for their support and guidance without which this research would not have been possible.

DECLARATION

I, [type your full first names and surname here], declare that the contents of this dissertation/thesis represent my own unaided work, and that the dissertation/thesis has not previously been submitted for academic examination towards any qualification. Furthermore, it represents my own opinions and not necessarily those of the University.

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MSc Dissertation Project Proposal Form

Name

Candidate Number

Project Title:

Artificial Intelligence in Business: How has AI affected business? Use and implications of autonomic computing for business information systems.

Subject Area:

Objectives:

This research will be addressed to all readers interested Artificial Intelligence (AI), particularly company managers. The aim of this dissertation will be to determine whether AI has had a noteworthy and slowly escalating impact on business. The objectives will be to discover which types of AI methods are used today, and what they are capable of doing.

The survey techniques employed will be the “Observations” and “Documents” methods for collecting data. This will also involve a literature review of books, journals, newspaper, magazines, etc., as well as “field work” research, through which additional data was gleaned from other researchers (Bainbridge, 2004, 436).

Specifically, participation in AI USENET newsgroups allowed for the exchange of opinions and e-mail correspondence with companies working with AI.

Nowadays, one of the biggest challenges for companies is to cope with the high cost of their information technologies infrastructure. Edge computing is a new computing paradigm designed to allocate on-demand computing and storage resources. Those resources are Web cache servers scattered over the ISP backbones.

Key Questions:

We argue that this paradigm could be applied for on-demand full application hosting, helping to reduce costs. In this paper, we present a J2EE (Java Enterprise Edition) dynamic server able to deploy/host J2EE applications on demand and its autonomic manager. For this, we reengineer and experiment with JOnAS, an open-source J2EE static server. Two management policies of the autonomic manager were stressed by a simulation of a worldwide ISP network.

Theoretical Framework:

The term “Artificial Intelligence” (AI) covers a broad spectrum. My research focuses primarily on the issue of whether AI applications have penetrated the business market. The aim of this dissertation is to determine whether AI has had a noteworthy and slowly escalating impact on business. The objectives are to discover which types of AI methods are used today, and what they are capable of doing.

Several Case Studies are presented, which have been carefully chosen to illustrate the different AI techniques used in business today. Nowadays, one of the biggest challenges for companies is to cope with the high cost of their information technologies infrastructure. This high cost is mainly a consequence of the need to increase the infrastructure to tackle peak loads and flash crowds. Internet actors have to face the need of optimizing used resources, both at the server and the ...