Join Intel for preview of the Intel Industrial Workload Consolidation and Computer Vision Workshop, taking place in Chicago on April 30 and May 1. We’ll preview the developer tools and hardware/software kits that Intel is using to transform Industrial and Automation processes.
The webinar will begin with an overview of the Intel Developer Program and then move into the state of the art in industrial computer automation. We’ll cover how to boost your ROI by consolidating industrial processes on to fewer systems, virtualization of workloads and enabling real-time operating systems.
During the workshop, the second half of the first day will cover the IEEE extensions to the Ethernet protocol for Time Sensitive Networking and how serial protocols such as Modbus can be migrated to the newer OPC-UA standards. The second day will be dedicated to exploring the OpenVINO™ computer vision libraries and using the TICK stack for analyzing time-series data. It’s a very full two day workshop and this webinar will help jump start you on the material.
Join Intel's Daniel Holmlund and Martin Kronberg for an overview of the workshop content. This webinar is a precursor to the two day, hands-on workshop in Chicago on April 30 and May 1. For more information on the workshop, please contact Kaylin Berg, email@example.com.
Meet the Presenters
Daniel Holmlund, Software Developer Relations
As a developer evangelist, Daniel builds bridges and adds value to the relationships between different Intel technology and product groups and external customers. He runs outreach programs, customer trainings, special events, speaks at conferences and creates content that enables developers to use Intel technology effectively in their businesses. He also takes customer feedback to the groups within Intel that are building new technologies.
Martin Kronberg, Technical Evangelist
Martin Kronberg is a Technical Evangelist for Intel’s Developer Relations Division. He is responsible for running workshops, creating content, and supporting the developer community in the Internet of Things environment. He is skilled in developing applications that interface hardware with cloud analytics across a wide range of topics including computer vision, robotics, and language processing.