Didcom and University of Sonora celebrate a collaboration agreement to promote Big Data research through Data Science and Machine Learning
What to do with more than billions of data generated daily in the fleet operation? At Didcom we continue to promote Data Science to generate valuable information and make better decisions.
On Tuesday, May 3, 2022, we were visited at the Didcom facilities by Dr. Jesús Adolfo Minjárez Sosa, Dr. Jesús Francisco Espinoza Fierro and Dr. Rosalia Guadalupe Hernández Amador, academic representatives of the Department of Mathematics of the University of Sonora, to celebrate the official launch of the collaboration agreement between both institutions.
Dr. Jesús Adolfo Minjárez Sosa
- Research Professor C, Mathematics Department
- Member of the Mexican Academy of Sciences
- Postgraduate Coordinator in Mathematical Sciences
- Specialty in Control and Stochastic Games
- Level 3 in the National System of Researchers (SNI)
Dr. Jesús Francisco Espinoza Fierro
- Mathematics department professor
- Specialty in Topological Data Analysis and Representation Spaces
- Level 1 in the National System of Researchers (SNI)
Dra. Rosalia Guadalupe Hernández Amador
- Titular teacher in the Mathematics Department
- Specialty in Computational Geometry
- Candidate to the National System of Researchers (SNI)
Collaboration has been formalized to work on a project called “Analysis of Big Data Research Methodologies, Proposals for Statistical Models and Machine Learning” which seeks to strengthen collaboration between academics and professionals to promote the development of new and better practices for information analysis through Data Science.
Currently, the UNISON mathematics department has a data science master’s degree with an interdisciplinary team of professors, who teach students from different scientific perspectives: investigative and professional, through a program of postgraduate degree linked to the nature of scientific analysis carried out in the industrial sector.
Project Goals
The project main objective is the variants exploration of mathematical models through data science for the interpretation and creation of value to the millions of daily data generated by the vehicle fleets that Didcom controls and monitors throughout the country, with the firm purpose of helping end customers to make better decisions in their operation to generate a costs reduction, increasing their profitability.
Convention Mutual Benefits
Didcom, through the achievements, will transform these results into applied technology in our various products, helping us to be at the forefront of technological development to provide a better service to the automotive transport sector.
The University of Sonora will have access to large volumes of data to carry out its scientific research as part of its academic activity, opening the possibility for undergraduate and graduate students of the department to participate in the analysis to generate practical experience in an industrial environment related to their studies.
The scope of this collaboration agreement will allow us to analyze and execute proposals for appropriate methodologies for the data generated in Didcom, as a basis for projects, protocols and research programs that integrate the data, guidelines and specifications defined for each case.
Our approach to Data Science
The Didcom Data Science area was integrated into the technology department in 2018 as a response to the complexity of analyzing and handling the large volume of information that is constantly handled in the company, faced with the need to incorporate personnel specialized in data processing methodologies: Data Engineer and Data Scientist.
Didcom, making use of the great flow of data that it processes daily through our platforms, seeks to integrate best practices and processes of Data Science and Machine Learning that speed up the obtaining of valuable information for the intelligent decision-making of our clients.
Currently, the type of analysis that is currently carried out for the creation of data-based products focuses on the analysis of time series and statistical models that allow forecasts to be made on the variables studied, allowing our clients to analyze their operation and make corrections. necessary to achieve their goals.
Didcom approached the University of Sonora with the aim of obtaining support in the current analysis carried out in the Data Science area in order to improve our internal processes to generate data-based products and receive specialized feedback to define the analysis, models and conclusions more suitable to solve the problems of our clients.
Agradecemos la amplia apertura y disposición de los doctores y representantes académicos del Departamento de Matemáticas de la Universidad de Sonora para colaborar con su conocimiento y experiencia en un proyecto que se alinea y enfoca hacia el futuro y que generará grandes beneficios para todos.
We appreciate the wide openness and willingness of the doctors and academic representatives of the Mathematics Department of the University of Sonora to collaborate with their knowledge and experience in a project that is aligned and focused on the future and that will generate great benefits for all.
About Didcom
Didcom is an engineering and technological development company with more than 13 years of experience, focused on offering specialized technology solutions for the automotive transport sector. We help our clients with the development, implementation and integration of technologies for the effective management of their vehicle fleets, with the main objective of identifying savings opportunities, increasing operational efficiency and strengthening business decision-making.
About Unison
The University of Sonora is an autonomous and public service Higher Education Institution founded in 1942. It is the most valuable social heritage of the state of Sonora due to the magnitude and quality of its human and material resources, the number of students, the quality of the education it offers, the presence of its graduates and its impact on history and regional progress.
We look forward to sharing the results of our collaboration very soon!
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