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
24-Nov-2017
Global
$3,000.00
Special Price $2,250.00 save 25 %
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
This infographic presents a brief overview of the research, and highlights the key topics discussed in it.Click image to view it in full size
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
Popular Topics
No Index | No |
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Podcast | No |
Author | Vijay Michalik |
Industries | Information Technology |
WIP Number | MD65-01-00-00-00 |
Keyword 1 | Artificial Intelligence |
Is Prebook | No |