Benefit from secure, real-time foundation for IoT and AI data management

Are you interested in exploring how to build modern, data-centric embedded systems for the future? Do you aim to harness and monetize on-device data collection and processing to power the next generation of your products with RTOS and AI? If so, this webinar presents a valuable opportunity to gain insight into both the challenges and transformative possibilities ahead.

We will showcase a live demonstration highlighting how effective data management combined with a real-time operating system (RTOS) enables embedded systems—built with sensors, microcontrollers, and microprocessors—to achieve real-time control, enhanced reliability, and intelligent decision-making.

Discover how to seamlessly integrate ITTIA DB’s advanced data management with the mature QNX RTOS platform to accelerate Edge IoT and AI application development.

This integration unlocks powerful on-device data capabilities—enabling real-time insights from sensor data through high-performance streaming and efficient analytics. Our approach delivers simplicity, speed, and intelligence for optimized data ingestion, querying, and edge computing.

What you'll rapidly learn:

• Local Data Access: Fast on-device storage and querying reduces latency and cloud dependence.
• Real-Time Data Collection: Captures sensor data continuously for immediate analysis.
• Time-Series Data Logging: Enables pattern recognition and predictive insights.
• ML Data Integration: Seamlessly exchanges data with popular AI frameworks via APIs.
• Edge Data Prep: Filters and transforms data for on-device inference using SQL.
• System Data Interoperability: Ensures smooth access across heterogeneous embedded elements.
• Data Visualization & Dev Tools: Supports efficient data management and visualization.
• Expert Support: Offers guidance to optimize data performance and application impact.