Prediction for Business Service Assurance

Artificial Intelligence for IT Operations (AIOps) uses technologies like Big Data and Machine Learning (ML) to automate the resolution and identification of the common problems of Information Technology (IT).

Zero Incident Framework (ZIF) is an AIOps based TechOps platform which enables proactive detection and remediation of incidents which helps an enterprise to move towards a Zero Incident Enterprise.

Five modules of ZIF:

• -        Discover: To auto-discover all the IT assets and mission-critical workloads
• -        Monitor: End-to-end enterprise performance monitoring
• -        Analyze: Analyze and correlate alerts/events across tools
• -        Predict: Predictive techniques to prevent outages
• -        Remediate: Prescriptive remediation with minimal or no manual intervention

Predictive Analysis is ZIF’s USP. ZIF encompasses Supervised, Unsupervised and Reinforcement Learning algorithms for realization of various businesses use. They are:

                  Supervised Learning Algorithm:

·        Linear prediction

·        Seasonality based prediction

·        Recommended resolution

·        Virtual Supervisor

·        False Probability

·        Anomaly Deduction

·        Estimated Time to Complete

Unsupervised Learning Algorithm:

·        Sequence-based mining

·        Keyboard extraction

·        Sentiment Analysis (CSAT)

·        Data labeling

·        Log Analytics

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                        Reinforcement Learning Algorithms:

·        Log Rotation

·        Optimizing resource utilization

How does ZIF work:

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•       ZIF can receive and process all kinds of data through its ingestion capabilities
• -        Predicts anomalies by analyzing these data
• -        Anomalies can be presented as ‘Opportunity cards’ to eliminate any undesired incidents
• -        It brings out the paradigm shift since its proactive and reactive
• -        Predictions occur at multiple levels

Sub-Functions of the Predictive Model:

Functions:

-        Forecast capacity needs

·        Provides accurate resource utilization and usage predictions

·        Orchestrates the virtual infrastructure

-        Forecast Incident Volume:

·        Predicts to spike and exceed capacity

·        Predicts corrective actions

-        Detects potential failures:

·        Forecasts when capacity is about to exceed

·        Identifies problems even when they originate somewhere else

Benefits:

• -        Reduced manual effort
• -        Reduced errors
• -        Reduced cost of operations
• -        Optimized staffing
• -        Proactive IT Operations
• -        Drive towards zero outage
• -        Enhanced user experience

Predict module can categorize the opportunity cards into three swim lanes. They are:

• -        Warning swim lane: Opportunity Cards that have an “Expected Time of Impact” (ETI) beyond 60 minutes.
• -        Critical swim lane: Opportunity Cards that have an ETI within 60 minutes.
• -        Processed / Lost: Opportunity Cards that have been processed or lost without taking any action.

The above article has been taken from Zero Incident Framework, that is the best tool for predictive analytics using ai applications, and a leading cognitive process automation tools for business

Zero Incident Framework Corporate Brochure

Zero Incident Framework (ZIF) is a TechOps platform that is AI-based. ZIF helps in the remediation and proactive detection of incidents which in return helps an Organization to become a Zero Incident Enterprise.

Basic components of Zero Incident Framework (ZIF):

-        Discover

-        Monitor

-        Analyze

-        Predict

-        Remediate

Discover: Discovers all the critical mission workloads and IT assets.

• -        Auto-Discover Application
• -        Auto-Discover Users
• -        Real-Time Dynamic Topology

Monitor: Does the end-to-end performance monitoring for the enterprise.

• -        Allows visibility of the full stack
• -        Detects Anomalies
• -        User Experience Index, Application Health Index

Analyze: Analyzes and correlates alerts and events across tools.

• -        Ingest & Correlate heterogeneous Datasets
• -        Noise Nullification
• -        Accelerated RCA

Predict: Brings predictability to detect the potential outages.

• -        Forecasts the Capacity of Needs
• -        Forecast the Incident Volume
• -        Detects the Potential Failures

Remediate Prescriptive remediation with least or no manual intervention.

• -        Orchestration
• -        Auto-Remediation
• -        Virtual Engineer

ZIF for Service Desk:

• -        Enhances the productivity of the Service Desk by reducing the meantime to repair
• -        Takes user experience to the next level through the application of enhanced Sentiment Analysis and reduction of repeated incidents.
• -        Reduces the number of incidents as well as the cost of operations.

ZIF for Data Center:

• -        Reduces the false positives as well as provides a unified view of the health of the enterprise by ingesting and aggregating diverse data.
• -        Uses an Advanced Intelligent Incident Analytics to analyze the root cause faster.
• -        The predictive insights prevent the outage of expensive systems.

Outcome:

• -        Single Pane of Command
• -        Proactive IT Operations
• -        40% reduction of incidents
• -        60% reduction in Mean Time to Repair
• -        50% reduction in overall IT Operations costs
• -        Agile monitoring & elimination of Digital Dirt

Zero Incident Framework is the best tool for predictive analytics using AI applications, and for workflow automation software architecture. It ensures Zero IT downtime for your organization, and reduces manual efforts for the IT Personnel.