Enlit Europe 2026: Beyond Tech and IT-PS Show How Energy Data Drives Decision-Making

From November 10 to 12, 2026, the European energy industry will gather in Vienna. Enlit Europe will bring together approximately 15,000 professionals from energy supply, grid operation, generation, technology, and politics at Messe Wien, featuring more than 750 exhibitors and over 600 speakers. The motto of this year’s edition, “Integration. Resilience. Competitiveness.,” resonates deeply: renewables, storage, and new consumers must be integrated into existing grids, and this can only be achieved with compatible data.

This year, we are participating as an exhibitor. Together with IT-Power Services (IT-PS), we will be in Hall B at Booth H130, directly next to the Grid Transformation / Industrial Decarbonisation Hub. Our topic: How energy companies build a reliable foundation for operations, trading, reporting, and AI from distributed data sources.

Why Energy Data Rarely Leads to Decisions Today

In most energy companies, data is scattered: SCADA systems and manufacturer portals provide asset data, trading platforms know the markets, the maintenance system holds the service history, plus weather services, meter data, and, not least, Excel files. Each department sees only a slice of the picture. Operations, trading, and controlling calculate figures using different rules, reports are created manually and often aren’t available until the decision has already been made.

The consequences are concrete. Losses from curtailment, outages, or grid limits are viewed separately, leaving it unclear how much revenue was actually lost and why. Trading knows the state of charge of the storage system, but not always the capacity that is actually available right now. And anyone who needs to document for REMIT, unbundling, or NIS2 who had which information and when has to reconstruct it from scratch each time, without a continuous history.

Energy Data Lakehouse: A Data Foundation for Operations, Trading, and Controlling

A data lakehouse combines two worlds that were long kept separate: the data lake, which ingests raw data and high-resolution time series in any format, and the data warehouse, with structured, validated tables for reporting and analysis. An Energy Data Lakehouse is this architecture, tailored to the energy industry. It stores asset, grid, market, weather, and operational data with complete history, harmonizes units, timestamps, and asset IDs, and provides validated data products from this that dashboards, forecasts, and AI applications can all access equally.

It’s important to understand what the lakehouse does not do: it does not replace specialist systems. SCADA, CMMS, and ETRM remain responsible for their respective tasks. The lakehouse creates the shared context that none of these systems can provide on their own, and makes every metric traceable down to the individual raw data record. This shortens audits, ends discussions about conflicting figures, and is the prerequisite for AI-generated answers to be not just convincing, but reliable.

Beyond Tech and IT-PS Together in Hall B

There’s a simple reason why we share a booth with IT-PS: our strengths complement each other. We develop the Energy Data Lakehouse and the specialist applications built on it, from data integration to analytics and AI. IT-PS brings its experience with data platforms, infrastructure, and IBM Fusion HCI, the layer on which such a platform runs securely and scalably in your own data center, and operates its own data center in Austria for this purpose.

Visitors to our booth can therefore expect both: conversations about concrete use cases from wind farms, PV portfolios, or grid operations, and conversations about the infrastructure on which these use cases become productive.

IBM Fusion HCI as the Foundation in Your Own Data Center

Many energy companies don’t want to move their operational and grid data to a public cloud. This is where IBM Fusion HCI comes in: a hyperconverged system that bundles compute, storage, network, and Red Hat OpenShift into one integrated platform, designed for container, VM, and AI workloads. The Energy Data Lakehouse runs on it in your own data center, with data sovereignty and governance at the infrastructure level. We also offer the lakehouse in the cloud or private cloud; for companies with high requirements for control and auditability, the on-premises variant with IBM Fusion HCI is the path we are showing together with IT-PS at Enlit Europe.

More Than Data: Beyond Tech’s Service Portfolio

The Energy Data Lakehouse is one of five solution areas with which we digitalize energy companies. In Asset Operations, our Renew Ops application lets you monitor wind, PV, and storage assets independent of manufacturer, detect performance losses down to the component level, and plan maintenance precisely. With 360° Digitalization, we bring Marketing, Sales, Customer Service, field service, billing, and internal workflows onto a shared data foundation, from the first inquiry to the invoice. For energy communities, we automate registration, administration, and EDA connectivity; this project was awarded third place at the 2026 Constantinus Award in the ESG & Sustainability category. And we implement AI for the energy industry across all areas of the business, from customer service to grid connections, directly within your business applications or on a dedicated AI platform that, for sensitive data, can also run on-premises in your own data center.

We were founded in 2024 as a joint venture between Burgenland Energie and CEYOND. This background shapes our work: we know the day-to-day realities of the energy sector from practical experience, and we bring the digitalization expertise needed to transform it.

Presentation on November 10: Data Sovereignty Meets Intelligence

On Tuesday, November 10, 2026, from 3:40 to 3:55 PM, Matthias Gerstl, Project Implementation Manager at Beyond Tech, and Clemens Zauchner of IT-PS will speak under the title „Data Sovereignty meets Intelligence: From millions of data points to better energy decisions.“ In 15 minutes, the two will show how energy companies can bring together data from wind farms, PV systems, battery storage, and energy markets into a trustworthy data foundation, and how governance, analytics, and AI can be built on top of it without the company giving up control over critical data. Anyone considering a central data platform will get a concise overview during the talk and can dive deeper into the details afterward at the booth.