Warsaw, 00-844,
Poland
Elitmind
Elitmind, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. Elitmind collaboration with software players such as Microsoft empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| Elitmind | Microsoft | Microsoft Azure IoT | IoT Platform | Internet of Things |
| Elitmind | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development |
| Elitmind | Microsoft | Microsoft Power BI | Analytics and BI | Analytics and BI |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
|---|---|---|---|---|---|---|---|---|---|---|
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Pkp Energetyka Poland | Utilities | 4000 | $200M | Poland | Microsoft | Microsoft Power BI | Analytics and BI | 2021 |
In 2021, PKP Energetyka Poland implemented Microsoft Power BI in the Analytics and BI category to centralize telemetry and operational data for its Green Railway Program. The implementation targets data from traction energy storage facilities and distributed energy controls that stabilize renewable energy availability at railway crossings, consolidating collection, management, processing and analysis pipelines into a unified reporting layer.
Microsoft Power BI was configured to provide centralized dashboards, curated datasets and semantic data models for energy operations, asset performance and grid stability monitoring. Typical Analytics and BI workflows were implemented including scheduled data refresh, role based access to reports, parameterized operational reports and the embedding of analytical outputs alongside Power BI operational dashboards.
The Power BI deployment was integrated with Azure Machine Learning and IoT telemetry as part of a cloud native architecture, enabling Power BI to surface machine learning inference and sensor streams for operational teams. Integrations span operational technology feeds from traction storage sites, supervisory data for railway crossings and upstream Azure analytics services, supporting energy operations, engineering and asset management functions across the organization in Poland.
Elitmind served as the technological partner for implementation and integration, delivering the Power BI configuration and Azure integration workstreams. Governance focused on standardized data models, report lifecycle processes and role based access controls, and the effective operation of the energy distribution system is supported by Azure Machine Learning, IoT and Microsoft Power BI together with Elitmind.
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Pkp Energetyka Poland | Utilities | 4000 | $200M | Poland | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2021 |
In 2021, Pkp Energetyka Poland implemented Microsoft Azure Machine Learning as part of its Green Railway Program to support renewable energy integration and the construction of traction energy storage facilities. Microsoft Azure Machine Learning is used alongside IoT telemetry and Power BI to enable the collection, management, processing and analysis of operational energy data.
The implementation is organized as a cloud-centric architecture on Azure, centralizing IoT telemetry ingestion, storage and model lifecycle management. Microsoft Azure Machine Learning provides capabilities for model training, versioning and deployment within the ML and Data Science Platforms category, supporting typical workflows such as time series forecasting, anomaly detection and model operationalization for energy load balancing and storage stabilization.
Elitmind acted as the technological partner integrating IoT feeds from traction energy storage sites and orchestrating analytics output into Power BI for operational dashboards. Operational scope covers energy distribution system workflows at railway crossings and supports operations, maintenance and energy management functions, with governance focused on centralized data pipelines, model monitoring and iterative retraining to support the effective operation of the energy distribution system.
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Pkp Energetyka Poland | Utilities | 4000 | $200M | Poland | Microsoft | Microsoft Azure IoT | IoT Platform | 2021 |
In 2021, Pkp Energetyka Poland deployed Microsoft Azure IoT as an IoT Platform to instrument traction energy storage facilities and energy distribution nodes under its Green Railway Program. The implementation focused on collection, management, processing and analysis of operational telemetry from renewable energy sources feeding railway crossings, enabling centralized visibility for operations teams.
Microsoft Azure IoT was architected to ingest device telemetry and support edge connectivity and cloud-based time series processing, with Azure Machine Learning used for model scoring and predictive analytics and Power BI used for visualization and operational dashboards. Elitmind served as the technological partner, responsible for integration, configuration and delivery of data pipelines, ML model operationalization and dashboarding.
Operational coverage included energy distribution system controls and traction energy storage sites supporting Polish rail infrastructure, with business functions impacted including energy operations, grid availability management and analytics. Governance changes centered on centralized data management, standardized telemetry schemas and new workflows for analytics-driven availability stabilization, implemented during the rollout with Elitmind and internal operations stakeholders.
The Microsoft Azure IoT deployment, integrated with Azure Machine Learning and Power BI, supports the effective operation of the energy distribution system and the processing and analysis of renewable energy data that underpins the Green Railway Program. Pkp Energetyka Poland Microsoft Azure IoT IoT Platform relationship is positioned to provide continuous telemetry, analytics and visualization capabilities for energy operations and network management.
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