Dr Eng. Maciej Pondel, Prof. WUEB
New technologies & innovation
Head of the Department of Business Intelligence Systems in Management at Wrocław University of Economics and Business and Technology Lead for Data & AI at Univio. Has delivered 70+ AI and ML projects, including the Upsaily system and the HeartBit4_0 and Regional Centre for Digital Medicine programmes. Provides executive training in digital transformation and advises on applied AI/ML, data analytics and innovative AI use cases in business and medicine.
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Services for business
- AI Readiness Audit – assessment of processes, data quality and capabilities; a quick-wins implementation map with estimated benefits and risks
- ML models – offer personalisation, customer behaviour prediction, lead scoring, sales forecasting
- Data warehouses and BI dashboards – source integration, KPI visualisations, automated management alerts
- Recommender systems and chatbots – PoC → pilot → scaling, measured by conversion uplift and CAC reduction
- AI in healthcare – algorithms supporting diagnostics and therapies (HeartBit4_0, Regional Centre for Digital Medicine)
- Data & AI workshops – from strategic roadmaps to hands-on tools for business teams
Industry specialisation
- AI and machine learning in sales, marketing and customer service
- Business intelligence and data analytics for executive teams
- Corporate digital transformation
- AI for diagnostics, telemedicine and biometric signal analysis
Research expertise
- Professor at Wrocław University of Economics and Business; Head of the Department of Business Intelligence Systems in Management
- Technology Lead for Data & AI at Univio; consultant on the Regional Centre for Digital
- Medicine and HeartBit4_0 projects
- AI/ML, data analytics and digital transformation specialist; delivered 70+ commercial and R&D projects, incl. Upsaily
- Author of numerous publications, international conference speaker, active bridge between academia and business
Wrocław University of Economics and Business
WUEB focuses its research on six key pillars: analytical economics and finance; management and quality; digital economy and data science; sustainable supply chains; food technology; and public policies supporting ESG. Interdisciplinary teams combine expertise across fields and translate research results into solutions ready for implementation.
As an entrepreneurial university, we co-create value together with business—from rapid expert consultations to long-term R&D programmes. Our interdisciplinary teams deliver advanced data analyses, ESG and quality audits, business models, and solutions based on AI and the green transition; we measure outcomes with shared KPIs such as partner satisfaction, implementation value, and relationship durability.
Through a “one-stop” approach, we connect experts, research infrastructure, and technology transfer managers to provide ready-to-use recommendations and solutions at the pace required by the market.
