Predikto spent two days at the SMRP show in Indianapolis last week. It was our first show and there were hundreds of representatives from many large organizations looking to learn about the latest technologies and process improvements to increase asset reliability and maintenance. It was very interesting to see Predictive Analytics or Reliability Analytics (as some people call it) as a trend that everyone was talking about and very few companies are actively doing. Some reliability experts where asking a lot of questions about Predictive Analytics and how it actually works, what type of predictions can be provided, and more importantly how to get started. Some clients were getting ready to hire IBM for large initiatives involving software and services acquisitions. Others had tried it inside SAP or other EAMs with limited success. Predikto recommends clients to start small with a targeted Proof of Concept and build from the early successes.
Reliability Analytics – Get Ready For It
About the Author: Mario Montag
Mario Montag is the Founder and CEO of Predikto, an Atlanta based software company specializing in deploying analytics solutions to predict failures in trains and planes. Mario plays a pivotal role in helping transformational customers deploy actionable IoT solutions. Mario was an Oracle ERP consulting executive for many years playing the role of a bridge between real world operational challenges and information technology solutions. Mario has worked for global organizations including PwC, IBM, McKinsey&Company, and Hitachi. Mario founded Predikto with the mission to enable asset intensive organizations to harness the power of their own data to improve operational performance. As a thought leader in Predictive Analytics and IoT, Mario has spoken at a wide variety of industry conferences. Mario has a Bachelor’s degree in Industrial and Systems Engineering from the University of Florida and a MBA from Georgia State University.