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. 

Table of contents

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 

Table of figures

Figure 1. Three Sub-Categories of Artificial Intelligence Applicable For Asset Management 

About the authors

Malavika Tohani

Research Director

Malavika leads the Verdantix Operational Excellence practice. Her current research agenda focuses on digital technologies for Operational Excellence including digital twins and software solutions for industrial risk and asset management. Malavika has over 15 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

Hugo Fuller

Industry Analyst

Hugo is an industry analyst in the Verdantix Operational Excellence practice. His research agenda explores the technologies within the extended reality and connected worker market, alongside enterprise asset management software. In advisory, his work includes go-to-market, growth strategy and long-term research partnerships.

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