Join us for IoTday 2025 in Gent on April 9th, where we will be showcasing our innovative IoT solutions.
Waylay is at the forefront of leveraging automation, data integration, and AI to optimize IoT systems. This event will provide insights into how we are transforming the IoT landscape, helping businesses build more efficient, scalable, and intelligent connected systems.
Don't miss the opportunity to connect with IoT professionals and learn from our experts!
Wednesday, April 9, 2025
Waylay Office
Veselin will kick off the event with an introduction to Waylay's mission and its role in integrating IoT and AI technologies.
In our latest Agentic Studio update, we’re showcasing how effortlessly you can diagnose HVAC issues by pinpointing root causes through automated reasoning, then seamlessly overlaying document parsing to find the best remedy—all with just a few clicks. This powerful workflow combines real-time sensor data, AI-driven troubleshooting, and contextual knowledge retrieval, making complex problem-solving faster and more intuitive than ever.
Take 15 minutes to get to know the other attendees and get refreshed with a cup of coffee.
Tom will dive deeper into Waylay's customer use cases related to real-time asset health monitoring, proactive asset management and smarter after-sales support using the Waylay GenAI agents. A demo will be included that shows some new exciting innovations we've been working on to enable field engineers and dealerships with more control over live asset telemetry and proactive asset monitoring rules.
An interactive discussion on AI trends, opportunities, and challenges in the IoT landscape.
Conclude the evening with casual networking, enjoying pizza and beer while discussing insights from the event.
Access an all-in-one, user-friendly platform to digitally transform and scale your enterprise-level company with ease.
In IoT, Waylay acts as a sensor data processing and automation engine. It ingests real-time data from IoT devices, applies rules and logic, and triggers actions based on sensor readings. Key features include:
Data fusion: Combines sensor data from multiple sources.
Event-driven automation: Uses rules to detect conditions (e.g., temperature exceeding a threshold) and trigger actions (e.g., send alerts, turn off a machine).
Integration with cloud and edge computing: Works with IoT platforms like AWS IoT, Azure IoT, and Google Cloud IoT.
Waylay’s automation capabilities extend to AI and LLM orchestration, allowing AI-driven workflows. In this context, it helps:
Automate decision-making: Uses LLMs to analyze inputs (e.g., repair manuals, customer requests) and generate structured responses or actions.
Connect AI to external APIs & tools: Facilitates seamless interaction between AI models and enterprise systems, databases, and external services.
Hybrid AI + rule-based reasoning: Combines rule-based logic with GenAI capabilities for more reliable automation (e.g., an LLM suggests an action, but Waylay’s rules validate before execution).
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Waylay’s ability to integrate IoT and AI enables advanced use cases such as:
Predictive maintenance: IoT sensors detect anomalies, and an LLM helps summarize the issue for human operators.
Automated troubleshooting: AI interprets IoT data and suggests fixes.
Voice-controlled automation: LLM-powered chatbots allow users to control IoT devices via natural language.
A plugin interface for structured automation workflows.
A unified approach to handling APIs and external connectors for both RPA tasks and AI agents.
AI-enhanced rule execution where LLMs assist in decision-making but operate within defined constraints.
If you're keen on implementing multi-agent applications within your own organization, read this article.
Waylay's platform excels in context-aware automation and decision-making, bridging the gap left by GenAI.
Read Tom Van Leeuwen's latest blog post to learn about his findings working with our GenAI solution.
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