Solving Key Data Challenges with Industrial Embedded Systems

Devices Data Management for Artificial Intelligence

 

Seats are limited! In industrial systems built with sensors, microcontrollers and microprocessors, effective data management is essential for real-time control, reliability, and intelligent decision-making. These systems must handle high-frequency sensor data, ensure deterministic performance, and operate under strict resource constraints—all while maintaining security, synchronization, and long-term durability.

 

Join this workshop to learn about data management for your device designs using the modern ITTIA DB Platform software for data processing and management. Quickly learn how to integrate advanced data management functionality seamlessly into your embedded systems and empower your application development for Edge IoT and Edge AI. We will introduce you to data management methods for enabling capabilities through efficient on-device data storage, processing, and integration.

 

You will learn how to unlock the power of devices for data management and benefit from edge computing with ITTIA DB Lite for IIoT and AI applications that have limited computing power. We will introduce you to data streaming options with superior performance so you can derive fast insights from sensors attached to devices. You will rapidly learn techniques for optimizing performance, saving power, improving security and tracing provenance hidden in embedded system data. We will introduce you to a data management and analytics design approach that emphasizes simplicity and efficiency to accomplish high performance data ingestion and querying.

 

The Training Advantage

Our specialized training delves into the critical data architecture of modern embedded systems. You will learn:

 

  • Data collection, data preparation, and data management techniques on devices.
  • Data quality control, data security and data integration practices.
  • Data management tools and technologies to prepare for Edge IoT and Edge AI.
  • The benefits of saving and securing data with ITTIA DB Platform.

 

Go Hands-On

Gain practical experience and collaborate with our experts to:

 

  • Build a Prototype: Create a data driven campaign for an embedded system with ITTIA DB Lite, microcontroller and microprocessor devices.
  • Master Data Toolsets: Learn the best techniques for integrating ITTIA DB Lite with AI/ML tools, RTOS, and devices.
  • Data Management for Your Needs: Training sessions address various on-device data challenges with constrained devices, ensuring immediate benefits for your next projects.

 

Why This Training Matters

 

Regardless of your team's current experience, our focused approach will rapidly bring you up to speed on cutting-edge data management options for building industrial embedded systems and devices. You can unlock the full value of data pouring in from sensors, actuators, and gateway devices with data management and analytics. You will be introduced to data distribution options that enable microcontrollers and microprocessor applications to remotely monitor and pipeline device and sensor data. You will witness how data captured from many devices is easily queried in a web browser or through a REST API. Finally, you will save serious learning time, benefit from our decades of experience and R&D, and prepare yourself on time for the next wave of innovation.

 

Agenda

Attendees will gain experience in data processing, analysis, and data management on an STM32 device.

 

Session NumberSession DescriptionSession Duration
1Introduction to ITTIA DB Platform for embedded devices30 minutes
2Data management role for edge AI anomaly detection and beyond30 minutes
3Efficient C/C++ structure/object persistence with data model design30 minutes
4Build modular RTOS components for fail-safe operation30 minutes
5High velocity data connectivity between MCU and MPU devices30 minutes
6Train and deploy AI models for constrained embedded systems30 minutes
7Achieve guaranteed latency over noisy networks30 minutes
8Query combined data originating from many devices30 minutes
9Visualize live data and data processes30 minutes
Prerequisites
  • Programming: A solid foundation in C or C++ programming language.
  • Embedded Systems Concepts: Knowledge of microcontrollers, microprocessors and real-time operating systems (RTOS).
  • Domain Knowledge: An understanding of development for embedded systems and its limitations.
Who should attend?
  • Developers
    • Developers interested in learning about data preparation for AI/ML applications.
    • Manufacturers who must collect, analyze, store and communicate real-time data within the entire embedded systems and run campaigns with or without connectivity.
    • Manufacturers who understand the importance of data for IoT and ML/AI.
  • CTOs
    • Visionary leaders who build and design safe and secure embedded systems with edge devices.
  • Architects
    • Architects selecting edge data platform software and hardware tools to build applications that must scale across a single unit or an entire embedded system.

 

Register today and discover how we can collaborate closely with you to develop safe, secure, reliable, and performance-optimized data management solutions for embedded devices.

Enrollment
  • Register to receive the cost information and training syllabus.