Tag: MLOps

Optimizing Industrial Operations: An In-Depth Exploration of Predictive Maintenance Strategies

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Key Takeaways:

  1. Predictive maintenance can spot problems faster, so they can be addressed proactively
  2. Lower maintenance costs, reduced downtime and improved efficiency all boost the bottom line
  3. Clearly measurable ROI can help encourage stakeholder and workforce buy-in
  4. New technologies like AI are further expanding the potential for major gains

Predictive maintenance is changing the face of manufacturing and heavy industry all over the world. By using data analysis, and the help of artificial intelligence, businesses are able to spot potential defects, anomalies and problems before they occur, and take proactive measures in response.

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The 5 key principles of MLOps for successful application

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Garbage In, Garbage Out: How to Prepare Your Data Set for Machine Learning

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These commonly used and often linked terms all share the common thread of using data to build machines that are smarter, more efficient and more capable than ever before.

But in order for computers to take full advantage of AI and capabilities, there’s another acronym that computer scientists must be familiar with to build successful machines: GIGO, short for “garbage in, garbage out.”

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