Artificial Intelligence—Potential to Disrupt and Transform Verticals

Artificial Intelligence—Potential to Disrupt and Transform Verticals

Diverse Applications of AI Will Drive Growth Opportunities Across Verticals

RELEASE DATE
24-Nov-2017
REGION
Global
Research Code: MD65-01-00-00-00
SKU: IT03541-GL-MR_21183
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Description

Artificial intelligence (AI) has long been discussed, but rarely in terms of real-world applications. The past few years have seen a resurgence of the term with applications across industries. In reality, it has existed in many forms and through many approaches over the years. The constant advancement of hardware and breakthrough Machine Learning (ML) algorithms has unleashed a new wave of exponential progress that is set to affect every industry. Investors and innovators face many pitfalls and opportunities.

First-mover advantages in AI are strong, and access to data determines the strength of offerings. However, there are business and research dynamics that make the commercialization of algorithms alone challenging. True success in AI depends on access and timeliness of data, drawing insights and utility from the Internet of Things and Big Data paradigms. While all industries stand to benefit from this, the adoption is at different levels. This is primarily due to the ecosystem involvement, focus on innovation, and exiting trends in technology adoption. Given the diverse applications of AI, many large tech companies and vertical leaders are taking keen interest. The provider landscape has many start-ups with extremely innovative solutions and many of these have been a result of university research. The investors and incubators that help these companies grow are also a critical part of the ecosystem.

This report will provide an overview of the major trends today and catalysts for future developments. It covers in detail the AI ecosystem, various services available as part of AI, application of AI in enterprises, industry participant initiatives, and the impact on various verticals. The focus is on short- and long-term opportunities for ecosystem building, investment, and research, using case study examples where available. The report also provides a snapshot of some of the key participants in the industry, whose innovations are being increasingly accepted in the real world scenario.

The 5 key questions that this report will answer are:
•     What is AI?
•     What are the key AI applications in the enterprises?
•     What are the drivers and restraints in AI adoption?
•     What are the current trends in AI?
•     How have some of the industries benefited from AI-enabled solutions?

The study covers many providers and their involvement in AI to help readers understand the depth of efforts and initiatives that will lead to many revolutionary innovations in the future across a range of horizontal and vertical applications. The growth opportunities covered in the report also indicate the future course of the industry.

Numerous AI applications are still under experimentation, but the potential that the technology has displayed to change the outcomes makes it a very critical part of corporate strategies going forward.

RESEARCH: INFOGRAPHIC

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Table of Contents

Key Findings

Artificial Intelligence—Definition and Key Components

AI Subsets—The Most Impactful

Relevance of Moore’s Law to AI

Beyond Moore’s Law

Market Drivers

Drivers Explained

Market Restraints

Restraints Explained

AI Applications—Segmentation

Application 1—Reasoning

Application 2—Knowledge

Application 3—Planning

Application 4—Communication

Application 5—Perception

Artificial Intelligence—Strategic Aims

AI Endless Possibilities—Growth Catalysts

Ecosystem—Collaborative Setup

Ecosystem—Collaborative Setup (continued)

Investments—Universal Interest

Investments—Universal Interest (continued)

M&A—Corporate Interest Increases Activity

M&A—Corporate Interest Increases Activity (continued)

R&D—Talent Shortage

R&D—Talent Shortage (continued)

Technology Infrastructure—Value Addition

Technology Infrastructure—Value Addition (continued)

Catalysts for AI Future

AI Outcomes—Impact on Verticals and Functional Areas

AI—Range of Solutions for Different Enterprise Applications

AI in Financial Services—Insights to Enhance Services

AI in Financial Services—Insights to Enhance Services (continued)

AI in Retail—Understanding Consumers

AI in Retail—Understanding Consumers (continued)

AI in Healthcare—Taking Care to New Levels

AI in Healthcare—Taking Care to New Levels (continued)

AI in Industrial Applications—Wide Range of Impact

AI in Industrial Applications—Wide Range of Impact (continued)

AI in Home Automation—Solution for Multi-device Settings

AI in Home Automation—Solution for Multi-device Settings (continued)

AI in CRM—Seamless Customer Engagement

AI in CRM—Seamless Customer Engagement (continued)

AI in Cyber Security—Pre-empting Cyber Attacks

AI in Cyber Security—Pre-empting Cyber Attacks (continued)

AI—Growth Imminent, Despite Challenges

IBM AI Initiatives*

Google AI Initiatives*

Baidu AI Initiatives*

Element AI Initiatives*

Ford AI Initiatives*

Microsoft AI Initiatives*

Salesforce AI Initiatives*

DarkTrace AI Initiatives*

Growth Opportunity 1—Chatbots

Growth Opportunity 2—Visual Recognition

Growth Opportunity 3—Virtual Assistants

Growth Opportunity 4—Cyber Security

Strategic Imperatives for AI Companies

Key Takeaways

Legal Disclaimer

The Frost & Sullivan Story

Value Proposition—Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy

Related Research
Artificial intelligence (AI) has long been discussed, but rarely in terms of real-world applications. The past few years have seen a resurgence of the term with applications across industries. In reality, it has existed in many forms and through many approaches over the years. The constant advancement of hardware and breakthrough Machine Learning (ML) algorithms has unleashed a new wave of exponential progress that is set to affect every industry. Investors and innovators face many pitfalls and opportunities. First-mover advantages in AI are strong, and access to data determines the strength of offerings. However, there are business and research dynamics that make the commercialization of algorithms alone challenging. True success in AI depends on access and timeliness of data, drawing insights and utility from the Internet of Things and Big Data paradigms. While all industries stand to benefit from this, the adoption is at different levels. This is primarily due to the ecosystem involvement, focus on innovation, and exiting trends in technology adoption. Given the diverse applications of AI, many large tech companies and vertical leaders are taking keen interest. The provider landscape has many start-ups with extremely innovative solutions and many of these have been a result of university research. The investors and incubators that help these companies grow are also a critical part of the ecosystem. This report will provide an overview of the major trends today and catalysts for future developments. It covers in detail the AI ecosystem, various services available as part of AI, application of AI in enterprises, industry participant initiatives, and the impact on various verticals. The focus is on short- and long-term opportunities for ecosystem building, investment, and research, using case study examples where available. The report also provides a snapshot of some of the key participants in the industry, whose innovations are being increasingly accepted in the
More Information
No Index No
Podcast No
Author Vijay Michalik
Industries Information Technology
WIP Number MD65-01-00-00-00
Keyword 1 Artificial Intelligence
Is Prebook No