Did you know that the failure of critical assets continues to be the number one operational risk for leading industrial outfits across the world? A recent study by ARC Advisory Group reveals that the global process industry loses up to $20 billion (almost 5% of annual production) due to unscheduled downtime.
Asset reliability is the bedrock for overall operational excellence and can be a huge competitive business differentiator. To achieve 100% reliability of assets, organizations must rethink their current processes, while leveraging existing resources to improve critical asset performance.
Download our latest whitepaper to learn how you can devise a suitable model for operational reliability using cognitive predictive maintenance. This whitepaper will give you an in-depth perspective on how you can:
Most manufacturers strive to achieve a smooth operations cycle with minimal disruptions. Let your journey begin.
DataRPM, a pioneer in cognitive technology, is enabling asset-intensive organizations across the globe achieve a fail-proof environment, maximizing the yield of their mission-critical assets. Through its award-winning platform, the Cognitive Predictive Maintenance (CPdM) delivers greater than 80% accuracy in asset failure prediction at 1/30th the time and resources, delivering 30% in cost savings and revenue growth. By automating machine learning, voluminous data is ingested and analyzed faster and more accurately, creating a fail-proof environment that boosts asset performance. For asset-intensive organizations, this level of automation directly translates into immense cost savings through higher availability and enhanced reliability of assets.
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