This is a hybrid event: In-Person and On-Line.
In-Person will be held at the Nest Coworking in Peoria.
On-Line, follow the Zoom Link:https://us02web.zoom.us/j/89414072763?pwd=YXY3SXM5OEJXRmVTbUhMaDdPSElwdz09
Happy hour starts at 5:30 PM
Presentation starts at 6:00 PM
Gartner predicts that 70% of all software applications will be developed in low-code by 2025, and this trend is accelerating in IoT as well. The direct benefits are significantly faster development and iteration, reduced reliance on technology expertise, and better collaboration inside the organization.
Dr. Andy Wang, founder and CEO of Prescient, will discuss how low-code is used in the IoT and edge AI space, and why low-code is well-suited for data acquisition, protocol translation, data transformation, feature engineering, and rapid customization of edge AI solutions. He will describe multiple use cases in the areas of IIoT, edge data pipeline, and edge AI. He will also discuss Prescient Designer and Node-RED, and the advantages and disadvantages of “flow programming” when applied to distributed IoT and edge applications.
Dr. Andy Wang is the founder and CEO of Prescient, a Boston-based technology startup that brings cutting-edge data automation software to the IIoT and edge computing space. Prior to Prescient, he was the founder and CTO of GTI IoT Technology, which developed low-power wireless sensing solutions for industrial and smart-city applications. Dr. Wang received his Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.
What they’ll do
IoT Peoria MeetUp brings together innovative thinkers and profound problems to find new ways to overcome many of the greatest challenges. They’re taking a deep look into the role of the Internet of Things and its effect on confronting problems, making our community and the world a better place. From education, energy, water, and health to job creation, food and agriculture, crime, and business; they’ll bring together people and technology to define how applying instrumentation and systems to our problems can redefine how we approach them.