Predictive Analytics by Zero Incident Framework (ZIF)

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Predictive Analytics by Zero Incident Framework
(ZIF) www.zif.ai/predictive-analytics/
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Predictive Analytics are critical for AIOPs
platforms. ZIFs 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.
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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.

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• 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.

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Predictive Techniques Used by ZIF to Prevent
Outages
Detect Predict Potential Failures
Forecast Utilization
Forecast Incident Volume
Predict Performance Degradation
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CONTACT US HERE FOR MORE INFORMATION
ZIF.AI, 116 Village Blvd, Suite 200, Princeton,
New Jersey 08540, USA. Tel [phone]
2256/7 Fax [phone] Website - www.zif.ai