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UID:0-124@iotday.org
DTSTART:20250409T170000Z
DTEND:20250409T210000Z
DTSTAMP:20250405T121028Z
URL:https://iotday.org/events/2025/waylay-bringing-iot-ai-together/
SUMMARY:Waylay - Bringing IoT &amp\; AI Together
DESCRIPTION:Waylay is a platform that enables automation\, orchestration\, 
 and decision-making for IoT (Internet of Things)\, GenAI (Generative AI)\,
  and LLM (Large Language Models) use cases. It provides a rule-based engin
 e and workflow automation capabilities that allow developers to integrate 
 data from different sources\, process it\, and trigger intelligent actions
 .\n\n\nWaylay in IoT\nIn IoT\, Waylay acts as a sensor data processing and
  automation engine. It ingests real-time data from IoT devices\, applies r
 ules and logic\, and triggers actions based on sensor readings. Key featur
 es include:\n\n\n 	Data fusion: Combines sensor data from multiple sources
 .\n 	Event-driven automation: Uses rules to detect conditions (e.g.\, temp
 erature exceeding a threshold) and trigger actions (e.g.\, send alerts\, t
 urn off a machine).\n 	Integration with cloud and edge computing: Works wi
 th IoT platforms like AWS IoT\, Azure IoT\, and Google Cloud IoT.\n\nWayla
 y in GenAI &amp\; LLMs\nWaylay's automation capabilities extend to AI and 
 LLM orchestration\, allowing AI-driven workflows. In this context\, it hel
 ps:\n\n\n 	Automate decision-making: Uses LLMs to analyze inputs (e.g.\, r
 epair manuals\, customer requests) and generate structured responses or ac
 tions.\n 	Connect AI to external APIs &amp\; tools: Facilitates seamless i
 nteraction between AI models and enterprise systems\, databases\, and exte
 rnal services.\n 	Hybrid AI + rule-based reasoning: Combines rule-based lo
 gic with GenAI capabilities for more reliable automation (e.g.\, an LLM su
 ggests an action\, but Waylay’s rules validate before execution).\n\nBri
 nging IoT &amp\; AI Together\nWaylay’s ability to integrate IoT and AI e
 nables advanced use cases such as:\n\n\n 	Predictive maintenance: IoT sens
 ors detect anomalies\, and an LLM helps summarize the issue for human oper
 ators.\n 	Automated troubleshooting: AI interprets IoT data and suggests f
 ixes.\n 	Voice-controlled automation: LLM-powered chatbots allow users to 
 control IoT devices via natural language.\n 	Interactive CRM bot applicati
 ons\n\nWaylay Agentic Studio - RPA &amp\; Agentic Apps\n\n 	A plugin inter
 face for structured automation workflows.\n 	A unified approach to handlin
 g APIs and external connectors for both RPA tasks and AI agents.\n 	AI-enh
 anced rule execution where LLMs assist in decision-making but operate with
 in defined constraints.\n\nYou can register here.
LOCATION:Waylay\, Blekerijstraat 33\, Ghent\, Belgium\, 9000\, Belgium
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Blekerijstraat 33\, Ghent\,
  Belgium\, 9000\, Belgium;X-APPLE-RADIUS=100;X-TITLE=Waylay:geo:0,0
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