Hardware, Software & the Internet of Things
June 23–25, 2015 • San Francisco, CA


Today, asset intensive industries are heavily reliant on reactive maintenance, which impacts customer needs, operations, and financial performance. Organizations generate large volumes of data from equipment sensors and maintenance applications, but these operational systems lack the ability to reliably predict future events like asset failures.

Predikto enables their customers to improve asset and operational performance by harnessing the power of their own data along with other external data. Predikto does this by leveraging their SaaS-delivered predictive analytics software engine. The solution delivers actionable insights and warnings to enable customers to transition from reactive maintenance to predictive maintenance, limiting downtime and enhancing ROI.