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Accelerating Insight and Uptime: Predictive Maintenance

Cloudera

Historically, maintenance has been driven by a preventative schedule. Today, preventative maintenance, where actions are performed regardless of actual condition, is giving way to Predictive, or Condition-Based, maintenance, where actions are based on actual, real-time insights into operating conditions.

IoT 98
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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

AI tools help companies optimize cloud pricing and spending by identifying cloud usage patterns for improved cost prediction, detecting anomalies in cloud usage, identifying opportunities for saving, and uncovering more cost-effective resources to use.

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Powering the future: How Gen AI and AI illuminate utility companies

CIO Business Intelligence

John Villali, research director for IDC Energy Insights 2 , explains: “Operational segments across the utility value chain have established use cases that have proven to be beneficial to utilities. In addition, companies use AI for proactive grid management and predictive maintenance that helps prevent outages.

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Maximizing Supply Chain Agility through the “Last Mile” Commitment

Cloudera

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. . Data 100 days old might as well be 100 years old.

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Data virtualization unifies data for seamless AI and analytics

IBM Big Data Hub

While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. This serves as a single point of reference for analytics, reporting and data-based decisions, resulting in increased accuracy and quicker generation of valuable insights.