Artificial Intelligence Reshapes Asset Management

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Executive Summary

Artificial Intelligence (AI) has become increasingly relevant over the last decade as computing power has increased alongside the development of AI methods such as deep learning. In industry, AI is discussed as part of a new frontier of automation and operational efficiency, but AI integration within industrial processes is still nascent. Existing applications of AI within asset management are varied, providing value across asset heavy industries. This study provides an overview of the sub-categories of AI applied within asset management, as well as a discussion of specific use cases and the benefits AI brings to asset management processes. This report is aimed at chief strategy officers, VPs of products and heads of marketing at firms who offer AI products for asset management, as well as VPs of operations, reliability engineering managers and heads of asset management to provide insight for purchasing decisions. 
Business Case For AI Applications Within Asset Management Emerges 
Machine Learning Underlies AI Applied Within Asset Management 
Industrial Firms Can Leverage AI For Numerous Applications Within Asset Management 
AI Optimizes Approaches To Asset Management 
  
Figure 1. Three Sub-Categories of Artificial Intelligence Applicable For Asset Management 

About the Authors

Malavika Tohani

Malavika Tohani

Research Director

Malavika is a Research Director at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more ef...

View Profile
Hugo Fuller

Hugo Fuller

Senior Analyst

Hugo is a Senior Analyst in the Verdantix Industrial Transformation practice. His current research agenda explores the technologies within the industrial asset management soft...

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