Data, IoT and AI at the edge devices create magnificent opportunities for embedded systems growth
Manufacturers are keen to understand how to efficiently monetize real-time data by collecting and analyzing information right at the edge where embedded systems are deployed. Whether building new systems or enhancing existing products, they are entering the Internet of Things (IoT) and artificial intelligence (AI) arena. Do you have a comprehensive understanding of how to apply data management practices at the edge? Are you aware of hidden dangers and challenges that await data focused embedded systems?
In this webinar, we will present an overview of the most significant challenges and how to leverage devices at the edge to optimize data throughput and latency. We will introduce you to the fundamentals of ITTIA DB for data processing, analytics, storage, and transmission, then explain how to build a data-driven edge application to capture time series data. As you result, you will quickly become prepared to empower your devices to collect, refine, and store real-time data streams.
With a live demonstration, participants will discover how to
- Update current embedded systems applications with data-driven design patterns,
- Prepare for the most common integration obstacles in the device data management world,
- Define device-level query strategies for advanced data collection campaigns,
- Embed ITTIA DB into Arm Cortex-A/Cortex-M applications to prepare for the era of IoT and AI,
- Significantly cut costs with data-driven embedded applications.
Meet the Experts
Founder and President, ITTIA
Edge Data Computing
Worldwide
Speaker bio:
Sasan Montaseri holds a BS Degree in Electrical Engineering from the University of Kansas with a Minor in Mathematics. He was a member of PI Mu Epsilon, National Honor Society of Mathematics and has over 25 years of experience with the embedded industry and edge data computing, including microcontrollers, microprocessors, and electronic control units. His interest relates to real-time data management and Internet of Things at the edge. Under his leadership, ITTIA has grown from its inception to offer data solutions to prestigious multinational customers throughout North America, Europe, and Asia.
Senior Software Engineer, ITTIA
Edge Data Computing
Worldwide
Speaker bio:
Ryan Phillips has over 20 years of experience developing and supporting ITTIA DB for embedded systems. As a senior engineer, he directly engages with customers developing with ARM® Cortex®-M microcontrollers, ARM® Cortex®-A microprocessors, x86 platforms, and electronic control units. Ryan supports ITTIA's current portfolio of data processing and data management software for embedded systems operating at the edge. His interest is in creating effective developer tools and resources for edge data management. Ryan holds a B.S. in Computer Science from the University of Washington.
EMBEDDED
MOM
MULTIPHYSICS
LIFECYCLE MANAGEMENT
MEMS/VLSI DESIGN
PCB TOOLS
CAD/CAM
CIVIL
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