Push start your automotive assets with cognitive predictive maintenance - Zipping towards zero outages

You lead a large automotive manufacturing unit. You are responsible for meeting manufacturing targets while keeping automotive asset maintenance costs under control and ensuring the P&L figures continue to surge. You are faced with mounting pressures of keeping your factories unscathed from the daunting risks of unplanned outages and downtime.

Today, manufacturers typically deal with around 800 hours of downtime annually which means losses of $22,000 per minute which is $1.3M per month! Now, we all know that this could be a pretty hefty price to pay for an unforeseen equipment failure.

With the Industrial IoT being able to generate a value of almost $0.7 trillion in savings for vehicles alone by 2025, it is quite insightful to note the multitude of benefits that the automotive industry can get using a cognitive approach to asset failure management.

This whitepaper will give you a comprehensive viewpoint on why cognitive predictive maintenance is the only solution towards achieving the goal of zero downtime. Download the whitepaper to get a deep perspective on:

  • The sea of challenges automotive manufacturers face and the possible routes to predicting equipment failures
  • How you can use the Cognitive gear to generate greater value from your automotive assets
  • Why is this the perfect time to get started on transforming your asset failure management strategy
So, let’s nail the solution before we face the storm shall we?
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About Us
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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