Independent research and advisory firm Verdantix surveyed 42 executives worldwide to gain insights on the expectations for Asset Performance Solutions (APM). The survey found that 100% of the respondents viewed APM as critical to meeting their business objectives, and 82% relate energy consumption and emissions reduction goals to APM. While these solutions have become the norm for predictive and prescriptive maintenance, companies are also beginning to turn to APM 4.0 to drive performance and sustainability.

Start your journey to the self-optimizing plant and view this interactive e-book that highlights how your assets can be safer, more reliable, more flexible and more profitable.

Discover how predictive maintenance and planned downtime can deliver positive results for your company when it comes to Safety, Sustainability and Productivity.

In production environments, changing conditions means increased risk. Operating companies have been shouldering more of this risk in recent years as insurance coverage becomes less readily available.

Find out how a new generation of technologies is creating opportunities within the process industries that were previously impossible.

Get key insights from a 2019 ARC Advisory Group survey on asset performance management (APM) and learn what is most important to industry leaders implementing APM at their organizations.

To remain agile, competitive and profitable long term, mine operators must focus on the critical need to integrate digital capabilities into their operations as much—and as quickly—as possible. Digitalization can help boost performance for companies across the metals and mining value chain.

Equipment failures, process disruptions and the resulting unplanned downtime are costing industrial manufacturers an estimated $50B USD every year. With prescriptive maintenance, companies can recognize precise patterns in operating data, predict asset failure and recommend corrective action.

This e-book explains how AspenTech® created the Aspen AIoT Hub by integrating artificial intelligence (AI) and the Industrial Internet of Things (IIoT) to enable the next generation of Industrial AI infrastructure.