Artificial Intelligence—Potential to Disrupt and Transform Verticals

Diverse Applications of AI Will Drive Growth Opportunities Across Verticals

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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.

Table of Contents

1. Executive Summary
Key Findings
2. Introduction to Artificial Intelligence
Artificial Intelligence—Definition and Key Components
AI Subsets—The Most Impactful
Relevance of Moore’s Law to AI
Beyond Moore’s Law
3. Drivers and Restraints
Market Drivers
Market Restraints
4. Applications of AI in Enterprise
AI Applications—Segmentation
Application 1—Reasoning
Application 2—Knowledge
Application 3—Planning
Application 4—Communication
Application 5—Perception
Artificial Intelligence—Strategic Aims
5. AI—Growth Catalysts and Current Trends
AI Endless Possibilities—Growth Catalysts
Ecosystem—Collaborative Setup
Investments—Universal Interest
M&A—Corporate Interest Increases Activity
R&D—Talent Shortage
Technology Infrastructure—Value Addition
Catalysts for AI Future
6. AI in Context—Use Cases
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 Retail—Understanding Consumers
AI in Healthcare—Taking Care to New Levels
AI in Industrial Applications—Wide Range of Impact
AI in Home Automation—Solution for Multi-device Settings
AI in CRM—Seamless Customer Engagement
AI in Cyber Security—Pre-empting Cyber Attacks
AI—Growth Imminent, Despite Challenges
7. AI Provider Initiatives
IBM AI Initiatives*
Google AI Initiatives*
Baidu AI Initiatives*
Element AI Initiatives*
Ford AI Initiatives*
Microsoft AI Initiatives*
Salesforce AI Initiatives*
DarkTrace AI Initiatives*
8. Growth Opportunities and Companies to Action
Growth Opportunity 1—Chatbots
Growth Opportunity 2—Visual Recognition
Growth Opportunity 3—Virtual Assistants
Growth Opportunity 4—Cyber Security
Strategic Imperatives for AI Companies
9. The Last Word
Key Takeaways
Legal Disclaimer
10. The Frost & Sullivan Story


List of Figures & Charts

1. AI: Definition and Types, Global, 2017
2. AI: Subsets and Features, Global, 2017
3. AI: Chip Making Technology Developments, Global, 2017
4. AI: Key Market Drivers, Global, 2017–2021
5. AI: Key Market Restraints, Global, 2017–2021
6. AI: Segmentation by Application, Global, 2017
7. AI: Reasoning and Use Cases, Global, 2017
8. AI: Knowledge and Use Cases, Global, 2017
9. AI: Planning and Use Cases, Global, 2017
10. AI: Communication and Use Cases, Global, 2017
11. AI: Perception and Use Cases, Global, 2017
12. AI: Strategic Outcomes, Global, 2017
13. AI: Growth Catalysts, Global, 2017
14. AI: Stakeholder Contribution, Global, 2017
15. AI: Examples of Stakeholder Contribution, Global, 2017
16. AI: Investments by Corporates and Venture Capital Firms, Global, 2017
17. AI: Examples of Investments, Global, 2017
18. AI: M&A by Corporates to Augment Offerings, Global, 2017
19. AI: Examples of Stakeholder Contribution, Global, 2014—2017
20. AI: Stakeholders Collaborate for R&D, Global, 2017
21. AI: Examples of Stakeholder Contribution, Global, 2017
22. AI: Technology Convergence, Global, 2017
23. AI: Examples of Technology Convergence, Global, 2017
24. AI: Catalysts for Future Development, Global, 2017–2022
25. AI: Use Cases for Vertical and Horizontal Applications, Global, 2017–2021
26. AI: Use Cases*, Global, 2017–2021
27. AI: Applications in Financial Services, Global, 2017
28. AI: Use Case and Future, Global, 2017–2021
29. AI: Applications in Retail Services, Global, 2017
30. AI: Use Case and Future, Global, 2017–2021
31. AI: Applications in Healthcare Services, Global, 2017
32. AI: Use Case and Future, Global, 2017–2021
33. AI: Applications in Industrial, Global, 2017
34. AI: Use Case and Future, Global, 2017–2021
35. AI: Applications in Home Automation, Global, 2017
36. AI: Use Case and Future, Global, 2017–2021
37. AI: Applications in CRM Services, Global, 2017
38. AI: Use Case and Future, Global, 2017–2021
39. AI: Applications in Cyber Security, Global, 2017
40. AI: Use Case and Future, Global, 2017–2021
41. AI: Defining Characteristics, Global, 2017–2021

1. Microprocessors: Transistor Counts by Date of Microchip Introduction, Global, 1970-2016




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