{"id":30359,"date":"2025-03-27T15:32:52","date_gmt":"2025-03-27T15:32:52","guid":{"rendered":"https:\/\/www.iottechexpo.com\/northamerica\/?post_type=agenda&p=29372"},"modified":"2026-04-07T13:33:38","modified_gmt":"2026-04-07T11:33:38","slug":"edge-ai-and-real-time-intelligence","status":"publish","type":"agenda","link":"https:\/\/www.iottechexpo.com\/europe\/agenda\/edge-ai-and-real-time-intelligence\/","title":{"rendered":"Edge AI and Real-Time Intelligence"},"content":{"rendered":"\t\t
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DAY 1 | GOLD TRACK<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Edge AI and Real-Time Intelligence<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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09:45 - 10:00<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Chairperson's Opening Remarks<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Chairpersons welcome and opening remarks<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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10:00 - 10:30<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Presentation: From Cloud Dependency to Edge Autonomy: Re-Architecting AI for Real-World Performance<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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As organisations confront the limits of cloud-centric architectures, leading enterprises are redesigning systems to bring intelligence closer to where data is generated. This session explores how deploying AI inference at the edge unlocks ultra-low latency decision-making, reduces operational costs, and ensures continuity in bandwidth-constrained or disconnected environments. Expect practical lessons on infrastructure redesign, model optimisation, and measurable business impact.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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10:35 - 11:20<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Panel Discussion: Edge-Native by Design: Building AI Systems for a Distributed, Autonomous Future<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Driven by the need for speed, resilience, and autonomy, organisations are rapidly shifting toward edge-native system design. This panel examines the shift toward edge-native architectures, where intelligence is embedded closer to data sources, enabling faster, more resilient, and autonomous operations. Panellists will explore how to redesign data flows, integrate AI seamlessly across devices and networks, and navigate the complexities of interoperability in increasingly fragmented ecosystems. The discussion will also address how to future-proof infrastructure investments as edge computing, AI, and connectivity converge to form the backbone of next-generation digital operations.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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11:25 - 11:45<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Presentation: Signal Over Noise: Data Filtering, Optimisation and the Economics of Edge Intelligence<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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With exponential data growth comes a critical question: what data actually matters? This session explores how advanced filtering, compression, and event-driven processing at the edge are dramatically reducing data transfer costs while improving responsiveness. Learn how organisations are building intelligent pipelines that prioritise high-value insights, enabling faster decisions and more sustainable AI architectures.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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11:25 - 11:45<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Presentation: Bridging the Gap and Integrating Legacy IoT Devices into Modern Edge Networks<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Many organizations rely on equipment that wasn\u2019t built with modern architectures in mind. This presentation focuses on how to bring legacy IoT devices into contemporary edge environments. Attendees will learn integration patterns, design considerations, and practical methods for extending the value of existing assets while modernizing their infrastructure.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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11:45 - 12:25<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Networking Break<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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12:25- 12:45<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Presentation: Engineering Efficient Edge AI: Model Optimisation, Compression, and Hardware Acceleration<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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As AI models grow in complexity, deploying them on edge devices requires advanced engineering techniques. This presentation will delve into model optimisation, quantisation, and the latest hardware acceleration technologies that enable high-performance inference on constrained devices. Attendees will understand how to maximise efficiency without compromising accuracy, unlocking new possibilities for cost-effective, real-time intelligence across their operations.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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12:50 - 13:10<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Presentation: Orchestrating Intelligence: Managing AI Models Across Distributed Edge Fleets<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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As edge deployments grow into the thousands of devices, orchestrating AI models across distributed fleets becomes critical. This session explores strategies for centralized deployment, automated updates, and continuous monitoring to maintain peak model performance. Attendees will learn how orchestration platforms ensure consistency, reliability, and agility in complex edge environments, enabling organizations to scale AI without introducing operational risk.<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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13:10 - 14:10<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Lunch Break<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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14:10 - 14:30<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Presentation: Real-Time Analytics Pipelines: From Data Stream to Instant Insight<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Fast-moving data demands fast decision-making. This session will explore architectures for streaming analytics at the edge, including event-driven processing, low-latency inference, and continuous learning pipelines. Attendees will gain practical knowledge on how to convert raw data into actionable intelligence in real time, creating a competitive advantage for organizations operating in highly dynamic environments.<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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14:45 - 15:05<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Presentation: Edge Observability: Monitoring, Debugging, and Trusting AI in the Field<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Deploying AI models is only half the battle; maintaining reliability and trust in the field is equally critical. This presentation will cover approaches to edge observability, including monitoring, debugging, and performance auditing for real-time AI systems. Attendees will gain insights into building trustworthy AI systems that are transparent, maintainable, and resilient, ensuring operational continuity and regulatory compliance.<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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15:10 - 15:20<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Presentation: Computer Vision in Production: Turning Visual Data into Operational Intelligence<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Computer vision has matured beyond experimental deployments and is now delivering tangible business value. This session will explore how organisations are applying visual intelligence for quality control, safety monitoring, predictive maintenance, and operational optimisation. Attendees will learn how to integrate vision systems into production environments, overcome deployment challenges, and realise measurable ROI from real-time visual data.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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15:20 - 16:00<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Networking Break<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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16:00 - 16:20<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Presentation: Perception at the Edge: Enabling Autonomous Systems Through Vision and Sensor Fusion<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Next-generation robotics and autonomous systems depend on a combination of visual perception and sensor data to make rapid decisions in dynamic environments. This session will examine how sensor fusion and edge-based computer vision create reliable, autonomous workflows, enabling everything from inspection drones to collaborative robots in industrial and commercial applications. Attendees will gain actionable insights into designing systems that are precise, responsive, and scalable.<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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16:25 - 17:10<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Panel Discussion: The Future of Distributed Intelligence: Sovereign AI, Edge Ecosystems, and the Next Wave of Innovation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The future of AI is increasingly distributed, with edge-first strategies shaping the next generation of business and industrial processes. This panel will explore the rise of sovereign AI, the development of robust edge ecosystems, and the strategic advantages of real-time intelligence. Attendees will gain forward-looking perspectives on how organizations can navigate regulatory pressures, leverage edge-cloud collaboration, and maintain a competitive edge in the coming decade.<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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17:10 - 17:20<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Chairperson's Closing Remarks<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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