Introduction
Introduction to AIOps: What is AIOps?
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Why AIOps matters: Transforming IT operations
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Overview of IT operations and key AI concepts
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1. AI for Network and Infrastructure Management
Forecast network usage with Cisco SD-WAN Analytics
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Demo of bandwidth forecasting using Cisco SD-WAN Analytics
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AI automated baselining and network anomaly detection
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Demonstration of using HPE Aruba Networking Central's AI Insights
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Predictive scaling for optimizing cloud computing resources
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Demonstration of predictive scaling in AWS EC2
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2. AI for Incident and Service Management
Automated incident triage, grouping and predictive analytics
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Demonstration of automated incident prediction in ServiceNow
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Root cause analysis and resolution recommendations using ML
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Demonstration of ServiceNow's automated root cause analysis
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Process automation for faster issue resolutions
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Demonstration of ServiceNow and PagerDuty process automation
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3. Automated Security Management Using AI
Sensitive data monitoring and user access management
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Demonstration of Rubrik data security for monitoring
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Automated security monitoring and incident response
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Investigate and remediate threats using Rubrik's Ruby AI
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4. Strategic Implementation of AIOps Solutions
How to develop an AIOps implementation strategy
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Things to consider while implementing AIOps solutions
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Benefits and risks of AIOps implementation
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Conclusion
Implement AIOps in your unique IT environment
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