Whitepapers

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Kickstart Your Automotive Assets with Cognitive Predictive Maintenance

You lead a large automotive manufacturing unit. With the goal of keeping P&L figures on a positive trajectory, you are responsible for meeting manufacturing targets while keeping automotive asset maintenance costs under control. You are also tasked with keeping your factories operating smoothly with no unplanned outages or downtime.
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Time to Relook at Asset Reliability: Move from Reactive to Predictive

For global industrial enterprises, critical asset failure continues to be the leading operational risk. Cognitive predictive maintenance helps in accurately diagnosing your asset health, before impending issues can negatively impact asset performance. Download this whitepaper to learn more about the value of cognitive predictive maintenance.
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Revolutionizing Manufacturing with Industrial IoT

Physical and digital worlds are converging  in ways we could only imagine in the past. Learn how the Industrial Internet of Things hastransformed and redefined asset-intensive industries such as manufacturing.
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In the Pursuit of Operational Reliability: 5 Questions to Get There

With market pressures and competition intensifying at an unprecedented pace, manufacturers are aggressively searching for new growth opportunities. Unfortunately, they’re often forced to work around approximately 800 hours of downtime on a yearly basis—a significant expense in the face of the unrelenting pressure on their top and bottom lines.
Fortunately, the path to operational reliability via anomaly detection is based on sound logic—all you need to do is ask the right questions.
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Put a Big Dent in Warranty Costs

Most automobile manufacturing companies suspect warranty fraud, but aren’t sure of how to eliminate it. Existing detection methods are reactive, complex and expensive, with the manufacturer bearing the cost.
By taking a cognitive approach to anomaly detection and prediction, automakers can isolate fraudulent claims from the datasets. This enables auto companies to streamline warranty claim analysis and improve accuracy, resulting in better fraud detection and significant cost savings.
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