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Vazquez, Favio
- Data Science and Intelligence
Abstract Views :257 |
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1 Iron AI
1 Iron AI
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International Journal of Business Analytics and Intelligence, Vol 6, No 1 (2018), Pagination: 7-8Abstract
I show in this article that Data Science, Big Data, and Artificial Intelligence (AI) are serious areas of research and development. We need all of them to get to Artificial General Intelligence (AGI), and also how Data Science is crucial to this endeavour.
- Agile Business Science Framework-Create a ROI-Driven Data Science Practice
Abstract Views :268 |
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1 Data Science Course Instructor, Business Science University, Pennsylvania Area, US
1 Data Science Course Instructor, Business Science University, Pennsylvania Area, US
Source
International Journal of Business Analytics and Intelligence, Vol 6, No 2 (2018), Pagination: 6-11Abstract
Data Science is an amazing field of research that is under active development both from the academia and the industry. One of the saddest facts in the data-world is that most data science projects in organizations fail. Here I’ll present a new iteration of an agile framework called Business Science Problem Framework to implement data science in a way that enables decision making to follow a systematic process that connects the models you create to Return On Investment (ROI) and show the value that your improvements bring to the business.- Ontology, Graphs and Data Science
Abstract Views :231 |
PDF Views:0
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1 Data Science Course Instructor, Business Science University, Pennsylvania Area, US
1 Data Science Course Instructor, Business Science University, Pennsylvania Area, US
Source
International Journal of Business Analytics and Intelligence, Vol 7, No 1 (2019), Pagination: 3-7Abstract
The present and future of data science depends on us being alert of the trends and advances in the scientific and technological community. In this article the fundamentals of ontology and graphs are introduce with their relations with data science, also presenting the concepts of knowledge-graphs and data fabric.- The Roots of Data Science
Abstract Views :273 |
PDF Views:0
Authors
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1 CEO, Closter, Mexico City Area, MX
1 CEO, Closter, Mexico City Area, MX