Historically, organizations have
sought to improve efficiency and develop better processes to become more
competitive. One of the ways to do this is to have both internal and external
information that allows them to make better decisions or drive complex
transformations.
Aware of the need for companies to
improve their processes and motivated by the advance of artificial
intelligence, Marcos Bruno, a mechatronics engineer from the National
University of Cuyo (Argentina), decided to develop tools to improve the
functioning of public and private organizations. Thus, was born Merovingian
Data, a data science start-up that this young Argentinean co-founded with his
partners Mario Japaz and Giorgio Tacchini. Thanks to this and other projects, MIT Technology Review in Spanish has selected Bruno as one of the
Innovators under 35 Latin America 2023.
Bruno explains, "We help
organizations by generating insights. We use data analytics, big data, and
artificial intelligence to empower public and private organizations to reach
their best potential." The system works with an ABC methodology: Assess
(evaluation of the organization), Build (construction of the solution with data
science to solve the problems) and Curate (consumption of the knowledge
presented as a solution). This method is born as a cultural solution to
"not only develop technical tools, but also address the human aspect of
change management to change the culture of decision making," adds the
innovator.
Merovingian Data adapts to each
industry to understand its own reality and provide appropriate solutions.
According to Bruno, the most common results are to increase efficiency, reduce
costs, and increase profitability. The start-up was born in 2020 after a process
of observation by Bruno and his partners in which he detected that "in
Argentina and the rest of the Latin America organizations were working in a less
than optimal way and there was a lot of room for improvement in all sectors.
The best tool to achieve this is with data."
Already present in six countries,
the company manages to improve its clients' metrics. The start-up is working to
increase its market share in the U.S. and more Latin American countries.
"With artificial intelligence and data analytics, it is easier than ever
to implement technological solutions and improve the performance of as many
organizations as possible," concludes the young engineer.
