About us
AioT Hub- Sponsored by Newcastle University Business School
Our community is a dynamic space where industry experts, leaders, academics, developers, and data scientists collaborate to connect individuals to AI (Artificial Intelligence) and IoT (Internet of Things). Through live-streamed shows and panel discussions. Connecting peple to connect things intelligently.
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Community Guidelines for Respectful and Trusted Behavior
- Respect for Privacy and Data Security
Prioritize privacy and data security. Do not collect, share, or misuse personal data without clear consent. - Transparency and Honesty
Be open about the purpose and functionality of AI/IoT systems. Avoid misleading claims or misrepresentations. - Inclusivity and Diversity
Encourage equal participation and respect diverse perspectives, regardless of background, gender, ethnicity, or expertise level. - Ethical Use of Technology
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Promote continuous learning and be open to evolving ethical standards in AI and IoT development. - Respectful Communication
Engage in respectful and professional communication. Address disagreements constructively.
Upcoming events
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AIoT Hub - From Sensor to Insight: Building Real-World AIoT with Cumulocity
·OnlineOnlineAIoTHub (formerly IoT North) Community meetup are pleased to present Bart Schouw and Dr. Kanishk Chaturvedi in "From Sensor to Insight: Building Real-World AIoT with Cumulocity"
Abstract:
From Sensor to Insight: Building Real-World AIoT with Cumulocity
Edge AI keeps getting talked about — but what does it actually look like when it's running on real hardware, in real time, on your factory floor or in the field?
Join Bart Schouw and Kanishk Chaturvedi from Cumulocity for a hands-on session unpacking how they're turning edge AI from concept into production reality. In 30 minutes (plus 15 for your questions), they'll take you through:
Why the "boring" infrastructure matters — how open-source thin-edge.io solves the unglamorous but critical problem of deploying and managing AI models on thousands of devices, not just one prototype
Vision AI on the edge — a demonstration of Sony's IMX500 intelligent sensor running AI inference directly on the chip, with edge post processing results flowing straight into Cumulocity — no cloud round-trip, no raw video leaving the device
Beyond vision — how the same pipeline generalizes to any AI model via ONNX, so the story isn't "one clever camera trick," it's a repeatable path from trained model to deployed edge AI
Try it yourself — the exact open-source starting points to get your own edge AI experiment running with Cumulocity and thin-edge.io this week
Expect demos, practical detail, and plenty of time to ask the questions that actually matter to your own use case.Bios:
Bart Schouw
Bart Schouw is Global VP of Partners & Alliances at Cumulocity GmbH, where he leads partner ecosystem development, commercial partnerships, and go-to-market enablement across Europe, APJ, Africa, and the Americas. He brings over 20 years of enterprise software and IT experience, including a prior role as IoT Solutions Director at Software AG, where he helped shape the company's IoT and analytics strategy — work that eventually led to Software AG's acquisition of Cumulocity. Bart is a regular speaker and writer on IoT and AIoT topics. Based in the Netherlands.Dr. Kanishk Chaturvedi
Kanishk Chaturvedi is a Director at Cumulocity, holding a Doctor of Engineering and focused on the company's AI ecosystem. He is the lead author of "EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual Quality Inspection," published at BTW'25 (21st Conference on Database Systems for Business, Technology and Web, Bamberg, Germany), which details a framework for deploying and managing ONNX-based ML models on resource-constrained edge devices. He has also co-authored technical content on edge AI with Cumulocity, and works hands-on with the platform's edge AI and Vision AI capabilities.2 attendees
Past events
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