Supervised Learning - Predictive AI Research for REIT tasks, 2021
This paper posits the benefits of a Predictive Artificial Intelligence solution-powered by a mult... more This paper posits the benefits of a Predictive Artificial Intelligence solution-powered by a multilayer Neural Network-for any and all inquiries that fall under the theoretical purview of a relationship between a landlord and their tenant(s).
A Framework for Analyzing Information System Technology Failures, 2018
Numerous pitfalls can derail or bring about the end of a project: be it a large-scale piece of so... more Numerous pitfalls can derail or bring about the end of a project: be it a large-scale piece of software for a Fortune 500 company or a simple bootstrapped mobile application built in the next internet entrepreneur's basement. Furthermore, the definition of failure is biased to each project depending on who is asked thanks to the unique lenses and perspectives an individual brings from their career and educational background. The IT literature indicates that there are many reasons for a particular project succeeding or failing. The reasons for IT failure, as identified through a particular lens, can be organized into a Technology Failure Rubric (TFR). The benefits of using the TFR is that it increases transparency into the issues facing modern IS projects, and thereby presents possible theoretical solutions from a multitude of vantage points.
Supervised Learning - Predictive AI Research for REIT tasks, 2021
This paper posits the benefits of a Predictive Artificial Intelligence solution-powered by a mult... more This paper posits the benefits of a Predictive Artificial Intelligence solution-powered by a multilayer Neural Network-for any and all inquiries that fall under the theoretical purview of a relationship between a landlord and their tenant(s).
A Framework for Analyzing Information System Technology Failures, 2018
Numerous pitfalls can derail or bring about the end of a project: be it a large-scale piece of so... more Numerous pitfalls can derail or bring about the end of a project: be it a large-scale piece of software for a Fortune 500 company or a simple bootstrapped mobile application built in the next internet entrepreneur's basement. Furthermore, the definition of failure is biased to each project depending on who is asked thanks to the unique lenses and perspectives an individual brings from their career and educational background. The IT literature indicates that there are many reasons for a particular project succeeding or failing. The reasons for IT failure, as identified through a particular lens, can be organized into a Technology Failure Rubric (TFR). The benefits of using the TFR is that it increases transparency into the issues facing modern IS projects, and thereby presents possible theoretical solutions from a multitude of vantage points.
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Papers by Mark B . Benya