Energy systems
Use data and intelligence to build more efficient, resilient, lower-carbon infrastructure.
- 01
Powering the Grid of Tomorrow
- 02
Cutting Carbon at Scale
- 03
AI for Energy Efficiency
A full day for the people responsible for production, reliability, energy, and industrial transformation—focused on turning plant-floor data into earlier decisions and better operational outcomes.
Last year sold out 19 days before the doors. 480 people were in the room.
Built for Industrial & Operations Leaders, the day connects strategic context with concrete decisions, operating realities, and people already doing the work.
Bring the questions that do not fit in a product demo. The goal is useful detail, honest trade-offs, and conversations that continue after the stage.
Co-Founder & CEO
RenewXchange
Digital Transformation Expert
MEGGLE GmbH & Co. KG
Production System Expert
Plastivaloire
Co-Founder and CGO
Bloomteq
Senior Enterprise Architect
Lufthansa Technik
AI Transformation Expert
MEGGLE GmbH & Co. KG
AI Solution Engineer
MEGGLE GmbH & Co. KG
Head
RockQ Technologies GmbH
Chief Digital Officer
Salzburg AG
Founder & CEO
Smart Manufacturing Innovation Centre (SMIC)Companies on this stage
The stage follows the path from fragmented operational signals to action that can improve reliability, energy use, and throughput.
Inside the Energy & Manufacturing Stage
These are programme territories, not a published timetable. Session times and speaker pairings will appear close to summit dates.
Use data and intelligence to build more efficient, resilient, lower-carbon infrastructure.
Powering the Grid of Tomorrow
Cutting Carbon at Scale
AI for Energy Efficiency
Detect issues earlier, improve throughput, and give operators a clearer picture of what is happening now.
Rewiring Manufacturing Intelligence
AI Anomaly Detection and Process Optimization
OEE and Throughput Optimization
Connect operational decisions across demand, automotive production, and transportation.
Demand Forecasting and the Data Stuck in Silos
Reshaping Automotive Manufacturing
AI in Transportation
THE INDUSTRIAL SIGNAL PATH
The stage follows the path from fragmented operational signals to action that can improve reliability, energy use, and throughput.
PLCs, sensors, ERP data, meters, and shift records.
Unify data around the asset, line, process, and order.
Find anomalies, drift, waste, and emerging failures.
Put the decision in front of the right operator in time.
October 16, 2026 · Sarajevo
Elevate your understanding of emerging trends, gain access to exclusive insights and stay at the forefront of innovation by subscribing to our newsletter.
/ Gajev Trg 4, 71000 Sarajevo, BiH
/ E-mail: info@bluminstitut.ai
/ Call: +38733821822
© 2026 Bloomteq. All Rights Reserved.
Privacy Policy
Elevate your understanding of emerging trends, gain access to exclusive insights and stay at the forefront of innovation by subscribing to our newsletter.
/ Gajev Trg 4, 71000 Sarajevo, BiH
/ E-mail: info@bluminstitut.ai
/ Call: +38733821822
© 2026 Bloomteq. All Rights Reserved.
Privacy Policy
Elevate your understanding of emerging trends, gain access to exclusive insights and stay at the forefront of innovation by subscribing to our newsletter.
/ Gajev Trg 4, 71000 Sarajevo, BiH
/ E-mail: info@bluminstitut.ai
© 2026 Bloomteq. All Rights Reserved.
Privacy Policy