Human Activity Recognition – Using IoT, Machine Learning and Apache Kafka® to Understand Human Actions
When: September 17, 2020 12:00 PM in Eastern Time (US and Canada)
Today IoT enables the capture and analysis of machine-centric data, giving businesses rich, real-time insights into their operations. This is transforming business, and it’s only the beginning. Recent advancements in Machine Learning are unlocking new use cases in the space of Human Activity Recognition. These advancements are promising to improve safety and compliance across many industries.
In this webinar, we’ll explore how IoT, Machine Learning, and Apache Kafka® can enable new applications to power the next generation of business intelligence.
How SpinDance Can Help
SpinDance architects builds and manages the software that powers today’s connected smart products.
Confluent, founded by the original creators of Apache Kafka, pioneered the enterprise-ready event streaming platform. With Confluent, organizations benefit from the first event streaming platform built for the enterprise with the ease of use, scalability. Questions? Call the experts at SpinDance today at (616) 355-7000.
Solution Architect at SpinDance
Greg Straw started his career working in the Aerospace Industry, something he had dreamed about since he was young. For over ten years, he worked as both a Technical Software Lead and Software Engineer developing various software mission components for the James Webb Space Telescope, successor to Hubble and NASA’s premier next-generation observatory. Greg began his venture into Cloud and Big Data solutions building Enterprise Services for the Intelligence Community at Lockheed Martin. Currently a Solution Architect at SpinDance, a software engineering firm based in West Michigan, Greg uses his passion for decomposing challenging problems to assist customers in finding the right technologies for their business.
System Engineer at Confluent
Steve Howard is a System Engineer with Confluent. His over 20-year career includes work in Big Five Consulting, Insurance, Logistics, Search Engines, and Retail, largely in the data architecture and engineering space. He is passionate about real-time streaming and the ability to change the direction of organizations to be more event-driven.
Solutions Engineer at Confluent
Dan Parsons joined the Confluent Solutions Engineering team in early 2020. Previously, he was part of a team that pivoted one of the largest companies in the world into an IT startup at General Motors. With more than 20 years in IT and strong knowledge and understanding of the data center as a whole, Dan is excited about leading organizations using Confluent’s Complete Event Streaming Platform. He has led an IT and CAD division for a small manufacturing company, as well as, held positions with Amdahl Corporation working with many various customers managing data centers and financial services contracts. Prior to GM, he worked for SUN Microsystems/Oracle for 10 years.