Over the last two decades, the Internet of Things has transformed the way we live and work. Technological advancements continue to pave the way towards more efficient manufacturing, responsive solutions, increased security, optimized production, and ultimately, revolutionizing the ways in which we do business. In addition, IoTs Operational Technology (OT) control networks continually provide actionable data, including vertical-specific services and optimizations for data driving automation for industrial, retail, cities, and medical applications. In this track, you will learn how the latest IoT technology is transforming industries through real-world use cases in areas such as industrial automation, smart building, responsive retail, and more. Thought leaders and expert IoT developers will demonstrate how to leverage the ecosystem to create greater value for your business.
IoT technology continues to evolve beyond general hardware and software and is now moving towards specialized kits and tools for specific vertical markets and applications
In this track, you will discover best practices to build and manage your projects through the development lifecycle and ways to integrate new emerging technologies to enhance and expand your solution. Receive detailed training with real-world use cases applying the latest tools, SDKs, functional simulators and remote updates for application-based domains through developer kits, over the air updates, open communities and standards, and other resources – a full suite of ingredients that are available to build end-to-end solutions.
Workload consolidation minimizes the number of hardware devices needed to execute a particular set of functions by optimizing hardware utilization and efficiencies. The latest IoT packaging now provides greater flexibility so hardware enables software functionality, the flexibility to file copy, and solutions to map to systems. In this track, you will learn the best practices in packaging such as deployment and monitoring in order to increase flexibility, scaling, and simplicity for end-to-end applications across Things, Fog/Edge, Network, and Datacenters. Individual sessions will deep dive into the various platforms, implementations, and scheduling policies at the edge for developing, scaling, managing, and optimizing IoT solutions.
As more IoT devices come online, IoT solutions are increasingly relying on artificial intelligence at the edge to process information from their ambient environments. Largely dominated by computer vision, ambient intelligence is being applied to digital surveillance, retail, industrial manufacturing, office automation, autonomous driving, and more.
In this track, learn about the latest AI tools and use cases at the edge. Individual sessions will provide deep-dive training on how to accelerate your computer vision and deep learning solutions from camera to cloud, as well as how to streamline analytics processing and deployment across multiple use cases.