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Smart Energy Congress 2025: Artificial Intelligence Reimagining Sustainability
Smart Energy Congress 2025: Artificial Intelligence Reimagining Sustainability The PMTech IT team has successfully concluded its first day at the Smart Energy Congress 2025, organised by enerTIC.org at IFEMA Madrid. Held under the theme “Artificial Intelligence: Reimagining Sustainability”, this event has established itself as one of Europe’s key forums for addressing the challenges of energy transition, efficiency, digitalisation, and technological innovation. A Benchmark E


Further developments in the industry
Further developments in the industry We completely agree with the observation about the dynamic development of Uzbekistan's construction industry and its embrace of advanced technologies. The country's emphasis on quality, energy efficiency, and automation is certainly shaping its future as a regional leader in construction. The integration of BIM technologies will undoubtedly play a pivotal role in streamlining processes and driving innovation. Where can I find sustainable b


Digital Information Exchange: A Key to Energy-Efficient Buildings
In the construction industry, achieving energy-efficient buildings is a multifaceted challenge that requires precise coordination, advanced technology, and seamless information flow. At PMtechIT, we believe that digital information exchange in a collaborative environment is fundamental to optimizing energy performance. Building Information Modeling (BIM) plays a pivotal role in this process by enabling stakeholders to share, analyze, and utilize data effectively. The Importan


Our participation in the recent webinar
Our participation in the recent webinar, "AI Projects for Energy and Technical Operations Optimisation: Key Steps" from our partner HiPer it! , highlighted transformative insights for integrating AI into operational systems with the HiPerWare platform. Key takeaways included: - Data preparation for model training - Turning raw data into a valuable resource for AI. - Model training processes - Understanding the mechanics of training robust ML models. - Evaluation and validat
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