Presenso has announced that Siemens has selected the company as its strategic partner in Artificial Intelligence and Machine Learning for Predictive Asset Maintenance. Presenso will support Siemens’ Operations & Maintenance (O&M) services with its real-time Industrial Analytics Solution integrated into the Siemens Remote Diagnostic Services portfolio of tools. This creates the necessary synergy between OEM and data knowledge to deliver superior outcomes to Siemens’ customers.
Presenso’s Machine Learning based solution will be applied to data generated from Siemens’ machines and newly deployed Smart Field Sensors. Presenso applies Automated Machine Learning or AutoML to Big Data in order to detect subtle abnormal behavior patterns, indicative of evolving asset failure.
“I’m delighted to see how the combination of Siemens’ next generation sensors and Presenso’s advanced Automated Machine Learning technology will provide great benefits to our customers,” outlines Thorbjörn Fors, CEO of Gas and Power Service Distributed Generation and Oil & Gas.
The two companies are currently deploying the solution in large scale in power plants and oil and gas facilities around the world. Together they are aiming to achieve an holistic approach for the overall plant.
“We are excited to partner with a world-class industry leader such as Siemens and to collaborate towards a joint digital vision for the Distributed Generation and Oil & Gas industry,” says Eitan Vesely, Presenso CEO.
Presenso CTO, Deddy Lavid adds: “As AutoML gains recognition as the leading solution for quick deployment and cost-efficient scaling of industrial analytics, Presenso continues to make a significant investment in this technology.”
Presenso provides AI driven Industrial Analytics tools for Predictive Maintenance using data science innovations such as Automated Machine Learning (AutoML). These tools are accessible to maintenance and reliability professionals without the need to hire Big Data experts. Presenso solution is available today for both OEM’s which are now developing their Industry 4.0 offerings and to end users operating their own equipment.