In a world where data is more abundant than ever, the ability to interpret and effectively utilize it becomes crucial for business success. The event ‘Generating Predictive Models via Big Data Analytics’, held on November 17, 2023, provided participants with the opportunity to navigate through this ocean of information and learn how to transform it into valuable tools for the future.
About the Event
Hosted at the Faculty of Automation, Computers, Electrical and Electronic Engineering, this one-day program was dedicated to equipping professionals with advanced techniques and knowledge in big data analysis. Participants learned how to extract, process, and use data to form predictive models capable of anticipating trends and behaviors.
Purpose and Benefits
This training program aimed to transform Big Data into a strategic ally. Building predictive models not only improves business decisions but also provides a solid foundation for innovation and continuous development. Participants left with a deep understanding of analysis processes and skills that allow them to anticipate market changes and respond agilely to consumer demands.
Event Curriculum
Through interdisciplinary sessions, participants were initiated into the latest data analysis techniques and the use of artificial intelligence tools. From the theory of big data fundamentals to practical applications in Machine Learning and AI, each module was designed to provide a holistic and integrated learning experience.
Conclusion
‘Generating Predictive Models via Big Data Analytics’ represented an essential step for all those who wish to position themselves at the forefront of innovation. Participants were invited to join this learning community and become part of the vanguard in big data analytics.
OpenInnoHub
The project is co-financed by the European Union (EU) from the European Regional Development Fund through the Competitiveness Operational Programme 2014-2020. Project title: Creation of an Open Innovation Hub in the South-East Region (OpenInnoHub) code SMIS 153386
The content of this material does not necessarily represent the official position of the European Union or the Government of Romania.
For detailed information about other programs co-financed by the European Union, we invite you to visit www.fonduri-ue.ro.