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Artificial organic networks : artificial intelligence based on carbon networks
(Springer, 2014)
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HIRAM EREDIN PONCE ESPINOSA;376768
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Campus Ciudad de México
This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and then, via some conventional ideas of organic chemistry, to the creation and characterization of artificial organic networks and AHNs in particular. The advantages of using organic networks are discussed with the rules to be followed to adapt the network to its objectives. Graph theory is used as the basis of the necessary formalism. Simulated and experimental examples of the use of fuzzy logic and genetic algorithms with organic neural networks are presented and a number of modeling problems suitable for treatment by AHNs are described: · approximation; · inference; · clustering; · control; · classification; and · audio-signal filtering. The text finishes with a consideration of directions in which AHNs could be implemented and developed in future. A complete LabVIEW™ toolkit, downloadable from the book’s page at springer.com enables readers to design and implement organic neural networks of their own. The novel approach to creating networks suitable for machine learning systems demonstrated in Artificial Organic Networks will be of interest to academic researchers and graduate students working in areas associated with computational intelligence, intelligent control, systems approximation and complex networks. ©2014 Springer.
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Mach Music – Digital & Financial Inclusion in Brazil
(2020)
Corte Peña, Lourdes Cristina
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Silva Noguera, Analilia
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Campus Ciudad de México
This is a Case Study developed by a group of students of the Universidad Panamericana that took the role of consultants for a Brazilian Start Up. Mach Music, startup created in 2015 is a solution provider in the Telecom Industry for under-served consumers, they seek to venture towards the creation of a business model for the financial and digital inclusion of the unbanked population in Brazil and Latin America. The company is willing to give the market the highest possible financial inclusion through aspirational products or services regarding their real needs until reaching a commercial strategy which could represent a great business opportunity and a spin-out company for them: “Mach Money”. To accomplish that, Mach Music asked consultants to focus on creating a go to market strategy and solidify their credit risk model. Consultants relied on effective analysis tools (decision tree, SWOT) and methodologies (Business Model Canvas & Lean Canvas) to identify what were the real issues of the company. Consultants identified several gaps of information (Business plan), Value proposition, Strategy (segmentation, communication, marketing, etc.) They created an action plan where they suggested Mach Music to start working with the Lean Startup methodology. They gave useful recommendations for the short, mid and long terms and finally, they developed and delivered strategic documentation and designed a website in where Mach Music would be able to manage all their information in a simple way. All these works exceeded Mach Music expectations.
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