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The main task was to create a prototype of a churn prediction model for KROS services. The goal was to identify customers who are at higher risk of ending their subscription, so that retention activities can be targeted earlier and based on data rather than only on manual assumptions.
We welcomed O2 among the finalists of AI Awards 2026, a telecommunications operator focused on providing reliable and modern communication services for a wide range of customers on a top-tier mobile network.
This year’s AI Awards finalist DAITABLE is a Slovak technology company that helps businesses reduce energy costs and increase sustainability through advanced automated data analysis and artificial intelligence.
Among this year’s AI Awards finalists is Takeda, a global biopharmaceutical leader with a 245-year legacy headquartered in Japan, focused on research and development of highly innovative medicines that change patients’ lives. Takeda pushes the boundaries of new treatment possibilities and is guided by its commitment to patients, people, and the planet.
This year’s AI Awards finalists include Evolveum, a Slovak company that develops and maintains midPoint, a leading open source platform in the field of identity governance and administration. The company is built on the principles of open collaboration, technological independence, and a 100% European ownership structure without external investors.
Not every innovation journey is defined by inmediate funding success. In the case of AQUADAPT, the key outcome was the transformation of a promising idea into a strategically positioned innovation with a clear path for future development.
A group of cybersecurity innovators from Slovakia and Czechia had a strong technical vision: to develop on advanced early warning system capable of detecting complex cyber threats such as ransomware and advanced persistent attacks.
Reducing emissions from road freight remains a complex challenge, particularly when addressing not only exhaust emissions but also less visible sources such as tyre wear particles. Smart Air Technologies, a Slovak SME, developed an innovative concept combining automatic tyre pressure management with emissions monitoring.
The collaboration centred on a concrete technical question: can language models for text summarization run effectively on resource-constrained edge devices?
The collaboration centred on a concrete technical question: can language models for text summarization run effectively on resource-constrained edge devices?
The collaboration centred on a concrete technical question: can language models for text summarization run effectively on resource-constrained edge devices? The use case was the automatic summarization of PDF documents using pre-trained language models, deployed within a Kubernetes environment.
The main task was to create a prototype of an algorithm for extracting geographic information from documents with spatial plans. The extraction targeted specific administrative and cadastral entities from text extracted from PDF documents, including regions, districts, municipalities, cadastral territories, and parcels.
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