Artificial Intelligence and Machine Learning for Business for Non-Engineers

Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- Editors -- Contributors -- 1 Introduction to Artificial Intelligence and Machine Learning -- References -- 2 The Basic Elements of Artificial Intelligence -- Introduction -- Representation -- Representing a Problem -- Representation of Information -- Storing Knowledge -- Representing Knowledge -- Frames -- Trees -- Objects -- Formulating Problems and Solutions -- Storing Knowledge and Information -- File Structures -- Storage Hardware -- Searching for Knowledge and Actions -- Breadth-First Search -- Depth-First Search -- Informed Search -- Sophisticated Search -- Heuristic Search -- Local Search Algorithms -- Adversarial Search and Games -- Problem-Solving, Decision-Making, and Taking Action -- Reasoning -- Agents Employing Reasoning and Making Decisions -- Resolution, Reaching Reasoned Conclusions, and Taking Appropriate Action -- References -- 3 Artificial Intelligence and the Cloud -- References -- 4 Artificial Intelligence Security Threats -- References -- 5 Artificial Intelligence and IT Management -- General Intro -- Chapter Framework -- Service Operations -- General Overview of Where AI Is Making an Impact Today -- Event Management -- Where AI Is Making an Impact in Event Management Today -- Event Consolidation and Correlation -- Elimination of False Positives -- Thresholds -- Autonomous Action -- Trend Analysis -- Future Outlook for AI in Event Management -- Incident Management -- Where AI Is Making an Impact in Incident Management Today -- Notification -- Collaboration -- Auto-Recovery and Restoration -- Escalation -- Future Outlook for AI in Incident Management -- Request Fulfillment -- Future Outlook for AI in Request Fulfillment -- Problem Management -- Escalation -- Correlation/Root Cause Analysis -- Trending/Patterns.