Apr 20 - Apr 24 | Hannover, Germany
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Join HighByte at Hannover Messe 2026— the world’s premier industrial technology trade fair and the global hotspot for industrial transformation. At Hannover Messe, innovation meets real-world business: more than 4,000 exhibitors from the automation, energy, industrial IT, engineering, and production technology sectors showcase cutting-edge solutions for a sustainable, digitalized industry.
HighByte will be exhibiting in the AWS booth (Hall 15, Stand D76), presenting on both the AWS and Microsoft Theater stages throughout the week, and hosting joint demos with Siemens.
Access your complimentary ticket, courtesy of HighByte, here. Feel free to share it with prospects and customers. If you are attending the event book a meeting with our leadership team here.
Tuesday, April 21 | 10:00 am
Join John Harrington, HighByte Chief Product Officer, for “How Alcon Deployed Industrial AI with HighByte Powered by AWS.” This session will explore how Alcon built a scalable data foundation to support predictive maintenance and defect monitoring using HighByte Intelligence Hub powered by AWS. John will also share practical guidance on architecting industrial data to enable AI use cases.
Wednesday, April 22 | 4:00 pm
Join Aron Semle, HighByte Chief Technology Officer, for “Enabling Industrial AI with Validated Data & HighByte Powered by AWS.” As workforce gaps widen, manufacturers need simpler ways to operationalize data. This session will cover how Georgia-Pacific and Bayer use HighByte with AWS to power industrial AI—streamlining pipelines and delivering trusted industrial data to agents over MCP.
Date & Time To Be Confirmed
Join John Harrington for “Powering Regulated Industries with High-Volume, AI-Ready Data.” Regulated industries, such as utilities, depend on timely, trusted operational data to run safely and efficiently. In this session, John will explore how National Grid modernized its data pipeline architecture using an Industrial DataOps approach with HighByte Intelligence Hub and Microsoft Azure—moving from batch ETL to a scalable streaming pipeline that supports forecasting, grid operations, and emerging AI workloads.
