Libra AI Technologies

We are immensely proud of our Data Science team, who had competed in the "Algorithm for Predicting Water Meter Consumption" category of the EYDAP incentive prize competition and won the second prize.

The incentive prize competition was organised by the largest water supply and sewerage company in Greece, EYDAP, in cooperation with MIT Enterprise Forum Greece and with the support of the Hellenic Corporation of Assets and Participations S.A. (HCAP).

Our industrious and talented "EYDAP Innovators" the junior data scientists Evangelos Fekas, Eleanna Kouletou, Eirini Ntarouis and Panagiotis Zogas, supported in ML engineering aspects by Zisis Flokas and Athanasios Balomenos, and scientifically supervised by Yannis Kopsinis, provided an innovative and ready-to-adapt Machine Learning solution for the prediction of the company's water meters' consumption in a period of three months.

The problem they came to solve was complex since it incorporated the processing of a vast number of raw historical data coming from over 150K water meters across the most densely populated region in Greece, the Attica Region and covering over 10 years of measurements. More than 20 different Machine Learning architectures and legacy statistical models were developed, passed stringent testing, and packaged as an AutoML framework. This is an asset of LIBRA for future use in several projects of ours. Our prediction algorithm had the second best performance in this task, and our team received the prize in an awards ceremony organised on the 24 of March, in Athens, by the EYDAP CEO, Mr Harry Sachini.

The EYDAP Innovation Challenge was an exceptional opportunity for LIBRA AI Technologies to expose four of its junior data scientists working part-time to a difficult yet fascinating real-life problem, train them throughout the process, and help them excel in such a prestigious competition.

Congratulations to all and many thanks to LIBRA's scientific advisor, Prof. Aggelo Pikraki, for his impactful tips during the early stages of the project.   

We are excited to be part of the EIFFEL project, a game-changer in climate change adaptation and mitigation by harvesting the benefits of the GEOSS data.  

In EIFFEL LIBRA AI Technologies have a leading role in the development of cognitive search and metadata augmentation tools based on Artificial Intelligence, including Natural Language Processing (NPL), which are expected to extract meaningful information from and enrich GEOSS metadata.

You may learn more about the project at https://www.eiffel4climate.eu/ 

More information about our role can be found here: https://www.libramli.ai/blog/making 

We are thrilled to collaborate with key stakeholders and experts around Europe within the Dig_IT H2020 project to set the foundation for the future's sustainable digital mine.

LIBRA AI Technologies integrates raw data, analytics and the outcomes of AI-enabled systems in a unified Decision Support System capable of providing operational mines with essential insights in several domains, like productivity, machinery fleet state, safety and Environmental Monitoring.

You may learn more at: https://www.libramli.ai/blog/building-the-foundation-for-the-sustainabl…;