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  1. 1
    Creates Accurate
    Predictive Models
    The Intelligent Automation Engine applies machine learning algorithms to your own operational data to create accurate predictive models.
  2. 2
    Precisely Categorizes
    and Routes Tasks
    These finely-tuned models precisely categorize and prioritize incoming requests and tasks.
  3. 3
    Correlates Real-time Events
    to Predict Future Events
    It correlates thousands of events to uncover specific sequences that serve as better predictors of issues.
  4. 4
    Initiates Structured Workflows to
    Accurately Route Tasks and Prevent Issues
    By accurately routing tasks to the right teams, you prevent and resolve issues faster. You cut through the deluge of alerts to focus on real issues.
  5. 5
    Delivers Benchmarks
    Against Peers
    Continuously track and optimize your services by comparing performance against industry averages, derived from massive amounts of anonymized customer data.
  6. 6
    Predicts When You Will Achieve
    Performance Goals
    The Intelligent Automation Engine uses prediction algorithms to project the time it will take to meet or exceed service performance goals and KPIs.

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