Artificial Intelligence Applications and Use Cases in Asia-Pacific, 2018

Artificial Intelligence Applications and Use Cases in Asia-Pacific, 2018

Transforming Services and Business Models with Penetration of AI Applications into Business Operations

RELEASE DATE
18-Jan-2019
REGION
Asia Pacific
Research Code: PA57-01-00-00-00
SKU: IT03793-AP-MR_22794

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Description

This research service provides an overview on Artificial Intelligence (AI) applications in the Asia-Pacific (APAC) market. It also includes an analysis of the different roles played by AI service providers and identifies the strategic imperatives for growth opportunities in this space.

Artificial Intelligence is increasingly penetrating into all aspects of business operations, transforming services and business models. Emerging technologies are being increasingly leveraged in both public and private sectors, significantly impacting the customer journey through different touchpoints. With the convergence of Internet of Things (IoT) and communication technologies such as 5G, AI applications are destined to pervade across all customer touchpoints going forward. The development of AI applications is aimed at making all actions as intuitive as possible for all kinds of users. AI applications embrace a series of co-creation endeavors to build, adjust, and optimize solutions with diverse inputs from myriad key players, end users, and indirect input providers. Connecting all AI-enabled services fades the boundaries of distinction across different touchpoints in the usage journey.

AI applications strive to create a smoother and effortless user experience. This study identifies and defines three main roles for AI service providers. These are:
• AI Solution Enablers–Key players to provide essential AI components such as computing power, processable data, and software stack
• AI Domain Specialists–Key players to provide critical AI functions such as Natural Language Understanding and Computer Vision
• AI Vertical Specialists–Key players to focus on industry- or vertical-oriented solutions, with exclusive data or proprietary models to deal with
industry-specific issues such as medical diagnostic, robotics, autonomous driving, and personalized marketing

The use cases discussion in this study focuses on AI applications across different verticals such as banking and finance, healthcare, manufacturing, retail, and automotive in different markets in the APAC region (including China, Japan, South Korea, Singapore, Australia, and others). The profiles of vendors include those of the top tech giants as well as start-ups developing AI-enabled applications.

Key Issues Addressed

  • Which are the technology advances and macroeconomic trends affecting AI development?
  • What are the roles of key service providers in the AI application ecosystem?
  • Which kind of AI use cases are deployed by users in APAC?
  • How did AI applications help in the use cases discussed?
  • What are the growth opportunities enabled by AI applications?
  • Which are the issues that companies need to be aware of when developing AI applications?

Author: Amy Lin

Table of Contents

Key Findings

AI Applications—Everywhere and Nowhere

Mega Trends Impacting Demand and Adoption of AI Applications

AI Development—Three Technology Drivers

Definition of AI

Mapping Human Perceptions to AI-enabled Capabilities

AI Enablers Configuring AI Applications

AI Applications in Different Verticals and Functions

Roles of AI-enabled Service Providers

Parameters of Case Studies Selection

Amazon Web Services Solution Overview

AWS AI Application for Communication

AWS AI Application for BFS

Google Cloud Platform Solution Overview

GCP AI Application for Healthcare

IBM Solution Overview

IBM AI Application for Knowledge Management

IBM AI Application for Communication

Microsoft Solution Overview

Microsoft AI Application for Human Resource Management

Microsoft AI Application for Communication

Alibaba Cloud Solution Overview

Alibaba Cloud AI Application for Manufacturing

Cisco Solution Overview

Cisco AI Application for Cybersecurity

Appier Solution Overview

Appier AI Application for Marketing

ThetaRay Solution Overview

ThetaRay AI Application for BFS

Deep Instinct Solution Overview

Preferred Networks Solution Overview

PFN AI Application for Manufacturing

SenseTime Solution Overview

SenseTime AI Application for City Security

SenseTime AI Application for Automotive

Growth Opportunity 1—Generate Revenues from Services

Growth Opportunity 2—Inheritance of Virtual Knowledge

Growth Opportunity 3—Panorama of Customer Journey

Growth Opportunity 4—Intuitive Conversation Interface

Growth Opportunity 5—Foreseeable Cybersecurity

Strategic Imperatives for AI Service Providers

Conclusion of Applications in APAC

Final Words

Legal Disclaimer

Related Research
This research service provides an overview on Artificial Intelligence (AI) applications in the Asia-Pacific (APAC) market. It also includes an analysis of the different roles played by AI service providers and identifies the strategic imperatives for growth opportunities in this space. Artificial Intelligence is increasingly penetrating into all aspects of business operations, transforming services and business models. Emerging technologies are being increasingly leveraged in both public and private sectors, significantly impacting the customer journey through different touchpoints. With the convergence of Internet of Things (IoT) and communication technologies such as 5G, AI applications are destined to pervade across all customer touchpoints going forward. The development of AI applications is aimed at making all actions as intuitive as possible for all kinds of users. AI applications embrace a series of co-creation endeavors to build, adjust, and optimize solutions with diverse inputs from myriad key players, end users, and indirect input providers. Connecting all AI-enabled services fades the boundaries of distinction across different touchpoints in the usage journey. AI applications strive to create a smoother and effortless user experience. This study identifies and defines three main roles for AI service providers. These are: • AI Solution Enablers–Key players to provide essential AI components such as computing power, processable data, and software stack • AI Domain Specialists–Key players to provide critical AI functions such as Natural Language Understanding and Computer Vision • AI Vertical Specialists–Key players to focus on industry- or vertical-oriented solutions, with exclusive data or proprietary models to deal with industry-specific issues such as medical diagnostic, robotics, autonomous driving, and personalized marketing The use cases discussion in this study focuses on AI applications across different verticals such as banking and finance, healthcare, manufacturing, retail, and automotive in different markets in the APAC region (including China, Japan, South Korea, Singapore, Australia, and others). The profiles of vendors include those of the top tech giants as well as start-ups developing AI-enabled applications.--BEGIN PROMO--

Key Issues Addressed

  • Which are the technology advances and macroeconomic trends affecting AI development?
  • What are the roles of key service providers in the AI application ecosystem?
  • Which kind of AI use cases are deployed by users in APAC?
  • How did AI applications help in the use cases discussed?
  • What are the growth opportunities enabled by AI applications?
  • Which are the issues that companies need to be aware of when developing AI applications?

Author: Amy Lin

More Information
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Podcast No
Table of Contents | Executive Summary~ || Key Findings~ | AI Applications—Everywhere and Nowhere~ || AI Applications—Everywhere and Nowhere~ | Factors Driving AI Development~ || Mega Trends Impacting Demand and Adoption of AI Applications~ || AI Development—Three Technology Drivers~ | Introduction to AI~ || Definition of AI~ || Mapping Human Perceptions to AI-enabled Capabilities~ | AI Applications and Role of AI Service Providers~ || AI Enablers Configuring AI Applications~ || AI Applications in Different Verticals and Functions~ || Roles of AI-enabled Service Providers~ | Vendor Profiles and Use Cases in APAC~ || Parameters of Case Studies Selection~ | Amazon Web Services~ || Amazon Web Services Solution Overview~ || AWS AI Application for Communication~ || AWS AI Application for BFS~ | Google~ || Google Cloud Platform Solution Overview~ || GCP AI Application for Healthcare~ | GCP AI Application for Identity Validation~ | IBM~ || IBM Solution Overview~ || IBM AI Application for Knowledge Management~ || IBM AI Application for Communication~ | Microsoft~ || Microsoft Solution Overview~ || Microsoft AI Application for Human Resource Management~ || Microsoft AI Application for Communication~ | Alibaba Cloud~ || Alibaba Cloud Solution Overview~ || Alibaba Cloud AI Application for Manufacturing~ | Cisco~ || Cisco Solution Overview~ || Cisco AI Application for Cybersecurity~ | Appier~ || Appier Solution Overview~ || Appier AI Application for Marketing~ | ThetaRay~ || ThetaRay Solution Overview~ || ThetaRay AI Application for BFS~ | Deep Instinct~ || Deep Instinct Solution Overview~ | Preferred Networks~ || Preferred Networks Solution Overview~ || PFN AI Application for Manufacturing~ | SenseTime~ || SenseTime Solution Overview~ || SenseTime AI Application for City Security~ || SenseTime AI Application for Automotive~ | Growth Opportunities and Companies to Action~ || Growth Opportunity 1—Generate Revenues from Services~ || Growth Opportunity 2—Inheritance of Virtual Knowledge~ || Growth Opportunity 3—Panorama of Customer Journey~ || Growth Opportunity 4—Intuitive Conversation Interface~ || Growth Opportunity 5—Foreseeable Cybersecurity~ || Strategic Imperatives for AI Service Providers~ | Conclusion~ || Conclusion of Applications in APAC~ || Final Words~ || Legal Disclaimer~ | The Frost & Sullivan Story~
Author Amy Lin
Industries Information Technology
WIP Number PA57-01-00-00-00
Is Prebook No
GPS Codes 9702-C1,9705-C1,9AA5-C1,9AD1-C1,9B07-C1