Siemens Xcelerator Community

Siemens Xcelerator Community

Connect, Learn, and Shape the Future of Industrial Innovation in the Siemens Xcelerator Community

The Siemens Xcelerator Community is a global network of innovators accelerating digital transformation to shape the future of industry. This ecosystem unites leaders to collaborate, solve complex challenges, and drive meaningful impact.

About

The Siemens Xcelerator Community is where the people building tomorrow's industrial world come together - to share, connect, and grow.

Since launching, the community has brought together ecosystem partners, industry leaders, and Siemens experts to exchange insights, co-create solutions, and shape the direction of industrial innovation. New members join every week, with Circles and conversations growing continuously.

Everyone is welcome to join as a guest to watch livestreams, explore event replays, and access learning resources, while also discovering innovation circles and expert groups dedicated to shaping the future of industry.

What you can expect

Real conversations. Relevant connections. Tangible impact.

Industry Peer Network

Connect with executives, partners, and domain experts who are solving the same challenges you are - across energy, manufacturing, infrastructure, and beyond. No noise, just relevant people.

Circles - Built Around What Matters to You

From Hydrogen and Future Food to AI and SMB - our topic-driven Circles bring together the right people around the right themes. Engage in focused discussions online or connect in person at community events.

Thought Leadership, Events & Content

Stay ahead with exclusive interviews, expert panels, and industry trend reports. Register for live events or explore our growing archive of sessions and recordings — available to all community members.

Events
In-Person
Realize LIVE Americas 2026
10:00 AM, Jun 1 - 5:00 PM, Jun 4 EDT
In Person
6:00 PM, May 11 - 4:00 PM, May 12 CEST
80333 Munich
In-Person
Industry meets Academia
4:30 PM - 7:30 PM, May 6 CEST
Erlangen
Webinar
State of Community Update: A Look Back at 2025 and Look Forward to 2026
3:00 PM - 4:00 PM, Dec 10 GMT
Online
Content
Mathias Oppelt
Mathias Oppelt · Jun 1st, 2026
Brownfield to Agentic: Retrofitting Plants with a Trust Layer
If 90% of operational truth lives in documents that AI cannot read, how do manufacturers move from insight to action? This AI Manufacturing Day 2026 panel tackled the brownfield reality: plants never designed for AI, critical data trapped in unstructured formats, and why 60% of agentic AI projects are projected to be abandoned this year. Hamish Mackenzie (IIoT World) moderated a discussion with Chris Huff and Anthony Vigliotti (Adlib Software) and Mathias Oppelt (Siemens). The panel dissected where AI stalls in industrial environments and what it takes to build a trust layer for agentic workflows. Mathias Oppelt explained why general purpose AI falls short in industrial settings. Large language models trained to generate plausible text are not sufficient for industry, where reliability must be proven and a wrong answer can cause physical harm. Industrial AI must speak the language of engineers: understanding drawings, simulation models, and technical context beyond words. He shared a recent example where an 86-year-old engineer had to be hired back to resolve a line shutdown that cost $1.5 million over four weeks, because no current staff had the legacy system knowledge. Chris Huff outlined the shift from systems of insight to systems of action. Agentic AI is real today for high-volume, lower-stakes work like procurement, contract review, and supplier onboarding. It is not yet real for high-stakes, low-volume decisions where a wrong answer means a recall or safety event. He identified three places where pilots consistently stall: ingestion of messy multi-format documents, validation and traceability back to source, and integration into PLM, ERP, and QMS systems. Anthony Vigliotti proposed treating manufacturing documents as evidence, applying standards of relevance, reliability, authenticity, and chain of custody. He highlighted a problem many overlook: AI systems forced to clip relevant information due to context window overruns, leading to incomplete outputs that drive real operational consequences when acting on those outputs. This session was sponsored by Adlib Software. Editorially independent.
Comment
Industry Signals
Industry Signals · May 26th, 2026
Behind the headlines and policy debates, a wave of technical advances — from additive manufacturing to a surprising stainless steel alloy — is steadily expanding what clean hydrogen can do.
# Hydrogen
# Energy & Sustainability
# Digital Manufacturing
# Digital Transformation
# PLM
# Smart Manufacturing
# Innovation
Comment
Before David Erhard was building communities for one of the world's largest industrial companies, he was doing it for EA Sports and FIFA. His path from Nuremberg to the gaming industry and back again turns out to be surprisingly relevant, and it shapes how he thinks about everything SXC is trying to do.
# Xcelerator Community
# Community Story
# Member Spotlight
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