MachineMetrics Wins IoT Breakthrough Award

MachineMetrics has been selected as winner of the 2018 Smart Manufacturing Solution of the Year award from IoT Breakthrough, an independent organization that recognizes the top companies, technologies and products in the global Internet of Things (IoT) market today.

“The benefits of digital disruption that Internet of Things technology implementations deliver are perhaps the most promising in the industrial and manufacturing space,” says James Johnson, managing director, IoT Breakthrough. “MachineMetrics stood out in the Industrial IoT category with a compelling smart manufacturing solution that delivers tangible results in significant productivity increases. We congratulate MachineMetrics on their growth and progress in 2017, and we look forward to seeing continued progress throughout 2018. We are thrilled to recognize MachineMetrics as a 2018 IoT Breakthrough Award winner.”

The mission of the IoT Breakthrough Awards program is to recognize the innovators, leaders and visionaries from around the globe in a range of IoT categories, including Industrial and Enterprise IoT, Smart City technology, Connected Home and Home Automation, Connected Car, and many more. This year’s program attracted more than 3,000 nominations from companies all over the world. All nominations were reviewed and evaluated by an independent panel of experts within IoT industry, with the highest scored nomination selected as winner for each category.

“A great deal of hesitancy still exists for manufacturers to embrace the technology that addresses the new challenges presented by digital transformation,” says Bill Bither, CEO of MachineMetrics. “With installing cloud-based monitoring systems being the first and perhaps most important step toward data-driven manufacturing, we designed MachineMetrics to help companies overcome these challenges and create a roadmap forward so they can take this initial and crucial step.”

To learn more about MachineMetrics’ manufacturing analytics software, read “Moving Toward a Smart Factory with Manufacturing Analytics.”