Infotec 2018: Using Machine Learning and Wearable Tech to Identify Safety Risks
February 23, 2018
Wearable technology in conjunction with machine learning and analytics is now changing the way companies identify safety risks before they happen. MākuSafe is developing leading edge technology to help predict when and where accidents could happen. This session will discuss both wearable and cloud technology, and how they are working together to impact this new era in workplace safety.
About Mark Frederick
Mark Frederick is a co-founder and CTO of MākuSafe Corporation in West Des Moines, IA. Mark started his career developing software in the manufacturing space and consulting as a technical specialist with many fortune 100 companies. He also spent many years consulting as a technical lead, project manager and program manager on large strategic initiatives. Most recently Mark spent 10 years at IBM helping customers understand the value of cloud computing and Internet of Things (IoT). Mark has deep technical knowledge with years of practical experience in cloud computing and electronics, including embedded systems, sensor technology and IoT.
MākuSafe was formed by a powerful team of software, hardware and data engineers in an effort to prove that workplaces around the globe can be made safer by gathering environmental data around workers WHILE they work. Using analytics and machine learning technology we can turn that data into predictors so that accidents can be stopped before they happen.