Reference architecture and cost estimation model for building intelligent platforms

With the recent resurgence of Machine Learning and Artificial Intelligence as a competitive advantage in product development, technical executives and managers are interested in learning what it would take to build intelligent platforms that can leverage these advances. In addition, they wish to produce cost estimates for developing such platforms. The goal of this thesis is to develop a reference architecture for an intelligent platform and an associated costing model that allows technical managers to understand the components needed to deliver such a platform and estimate the cost of each module, estimate the cost of the overall architecture, and enable what-if analysis to understand the cost tradeoffs. The intent is not to provide the values of the variables in the model, but to develop a cost model that will enable interested parties to plug in their estimated values for each factor and generate a forecast of the build cost.

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering and Management Program

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2017

Author dc:creator

• Jouni, Mohammad, S.M. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Bruce G. Cameron.

• Engineering and Management Program.
• Integrated Design and Management Program.
• System Design and Management Program.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/114083

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/114083