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TECH BUYER Oct 2019 - IDC Perspective - Doc # AP43052218

Many Things from the Shiny New Thing: 20 Early Adopters of Artificial Intelligence in Asia/Pacific Financial Services

By: Sneha KapoorResearch Manager

Table of Contents

Executive Snapshot

Figure: Executive Snapshot: Overview of Artificial Intelligence in Asia/Pacific Financial Services

Situation Overview

Who Is Doing What?

Defining What Exactly Is AI

Figure: AI Software Technologies

What Is an AI Project?

The AI Opportunity Assessment

Key Trends

Benefits

Challenges

Identifying the Right Use Cases

Data Presenting the Biggest Conundrum

Missing AI Piece in the Core Strategy

Inadequate Attempts at Change Management

Lack of Skills and Talent

Lack of Technical Infrastructure

Most Common Areas of Implementation so Far

Figure: 40 Most Common Use Cases Considered for AI

20 of the Best, Early Adopter Initiatives in AI

Advice for the Technology Buyer

Actions to Consider

Strategy and Sponsorship

Think Big But Definitely Start Small or at Least Somewhere

Management Endorsement Matters

Build a Cross-Functional COE

Process Identification and Optimization

Identify a Business Goal/Problem

Redesign and Reimagine Processes

People and Change Management

Cross-Functional Collaboration Is More Important Than You Think

Focus Proactive Change Management

Think About New Roles and New Skills

Scalable Infrastructure

Scalable and Adaptable Technical Infrastructure Is Needed

Data and Model Life-Cycle Management

Pay Attention to All Aspects of Data

Think About AI Model Life-Cycle Management

Strong Security, Compliance, and Governance Will Create Trust

Learn More

Related Research

Synopsis

Content


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