Ignio Intelligent Command Center - Intermediate Course

What you'll learn
Overview and basics of ignio ICC and how does it utilise the reasoning techniques
How ignio ICC works in Data Centers with the capabilities of Manage Alerts and Handles Incidents
Functionality Map of the Manage and Handle Incidents
Demonstration on the alert noise reduction and self-healing using banking application
Requirements
100% course completion of the course ignio Overview
Description
The Intelligent Command Center (ICC) course will help in understanding ignio's capability to perform Alert Management and Incident Management autonomously.The course is a combination of concepts and hands-on exercises. The course enables learners to understand how ignio performs Alert and Incident management and what is required by ignio to perform these tasks. The course further covers approaches that can be followed to enable these capabilities.------------------------------------------------------------------------------------------------------------------------------------Digitate™ leverages machine learning and AI (artificial intelligence) to intelligently manage IT and business operations. Our award-winning product, ignio™, is a cognitive automation solution that helps IT rapidly identify and remediate outages in minutes. ignio's unique pre-built knowledge allows customers to realize the value of AI in significantly less time than other solutions. It binds together disparate but interconnected business applications, processes, and the underlying infrastructure to drive smart decisions and perform actions autonomously. Our suite of product includes: - ignio™ AIOps - Map business applications and the underlying infrastructure to identify the root cause of a problem and perform autonomous remedial actions - ignio™ AI.WorkloadManagement - Minimize time needed for planning and operational activities with risk assessment, preventive recommendations & prediction of future batch job impacts with over 90% accuracy to reduce SLA violations - ignio™ AI.ERPOps - Provide functional and technical relationship mapping, rapidly identify and rectify typical issues impacting business and stay on top of compliance issues - ignio™ AI. Digital Workspace - A self-healing, end-user experience management product - ignio™ Cognitive Procurement - An AI based oversight mechanism into the Procure-to-Pay function that detects and predicts different types of procurement anomalies on time - ignio™ AI.Assurance - Enables enterprises to align quick delivery of quality software with some of its distinguished features such as autonomous test suite generation, impact analysis, and self-healing capabilities Digitate was founded in 2015 and is headquartered in Santa Clara, California, and Pune, India.
Overview
Section 1: AIOps Recap
Lecture 1 AIOps Recap
Section 2: ICC Overview
Lecture 2 Alert and Incident Management
Lecture 3 Industry Context
Lecture 4 ignio ICC Features
Lecture 5 Autonomous Alert and Incident Management
Lecture 6 Collaboration Room
Lecture 7 Dashboard and Reporting
Lecture 8 ignio ICC Deployment Scenarios
Section 3: Learn Context
Lecture 9 Capture Context (Blueprinting)
Lecture 10 3.2 Capture Context Lab
Lecture 11 Mine Intelligence (Profiling)
Lecture 12 Policy Resolutions
Lecture 13 Profile Threshold _Profiling Metrics
Lecture 14 Entity Extractions
Lecture 15 Profile Events
Lecture 16 Profile Communities
Lecture 17 Assess Risk
Lecture 18 Computer Experts Resolvers
Section 4: Alert Management
Lecture 19 Alert Management - Alert Detection
Lecture 20 Alert Management : Alert Prioritization
Lecture 21 Alert Management : Alert filtering and suppression
Lecture 22 Alert Management : Alert Aggregation
Lecture 23 Alert Management : Alert Prediction
Lecture 24 Alert Management : Alert Notification
Section 5: Incident Management
Lecture 25 Incident Management - Incident Detection
Lecture 26 Incident Management - Self Heal (Triage & Auto resolve)
Lecture 27 Incident Management - Escalate to manual
Lecture 28 Incident Management - Collaboration
Section 6: Deployment Methodology
Lecture 29 Deployment Methodology
Data Center Experts, Data Scientist, Command Center Engineer, Operations Manager

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