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Predictive Analytics by Zero Incident Framework (ZIF)

Applications of predictive analytics in business are critical for AIOPs platforms. ZIFu2019s algorithms forecast incidents based on their knowledge of trends & incident symptoms u2013 gained by analyzing tons of historic data. tFind out more here.

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Predictive Analytics by Zero Incident Framework (ZIF)

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  1. Predictive Analytics by Zero Incident Framework (ZIF) www.zif.ai/predictive-analytics/

  2. Predictive Analytics are critical for AIOPs platforms. ZIF’s algorithms forecast incidents based on their knowledge of trends & incident symptoms – gained by analyzing tons of historic data. ZIF then generates opportunity cards a minimum of 60 minutes in advance, along with suggested proactive remedial measures, giving IT engineers a lead time to fix issues.

  3. The ZIF Advantage on Predictive Analytics • Ensures better performance by forecasting resource utilization - Predicts ticket volumes, spikes, and resource utilization levels up to a year in advance. • Forecasts Incident Volume and stay a step ahead - ZIF predicts incident volumes and usage pattern for up to a year.

  4. Predicts Potential Failures & Liabilities - Advanced Intelligent Incident Analytics (AIIA) enable identification of patterns and situations that precede an outage. • Predicts Performance Degradation - Forecasting system behavior helps identify potential performance degradation leading to a future application failure.

  5. Predictive Techniques Used by ZIF to Prevent Outages Detect & Predict Potential Failures Forecast Utilization Forecast Incident Volume Predict Performance Degradation

  6. CONTACT US HERE FOR MORE INFORMATION ZIF.AI, 116 Village Blvd, Suite 200, Princeton, New Jersey 08540, USA. Tel: +1 609 951 2256/7 Fax: +1 609 520 1702 Website - www.zif.ai

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