Game Changers Artificial Intelligence Market 2018-2022
Executive Summary
Key Findings
Why Explore Artificial Intelligence?
Identification of 30 Key Technology Trends
Scoring Technology Trends by Disruptive Potential
Artificial Intelligence
Artificial Intelligence Overview
Artificial Intelligence Overview-Other Terminology
Artificial Intelligence Approaches Map
Artificial Intelligence Approaches
Key Driver of Artificial Intelligence Progress-Exponential Rate of Change
Machine Learning
Machine Learning Overview
Drivers in the Development of Machine Learning
Restraints in the Development of Machine Learning
Most Important Restraint-The End of Moore's Law
Machine Learning by Learning Style
Machine Learning by Function
Key Machine Learning Algorithm Classes by Function
Machine Learning Business Models
Neural Networks
Neural Networks Overview
Neural Networks by Class
What is Deep Learning?
Deep Learning Overview
Key Deep Neural Network Architectures
Leaders in Deep Learning-B2C Business Model
Deep Learning Applications
Applications-Text Natural Language Processing
Text Natural Language Processing Overview
Leaders in Text Natural Language Processing
Applications-Audio Natural Language Processing
Audio Natural Language Processing Overview
Leaders in Audio Natural Language Processing
Applications-Computer Vision
Computer Vision
Leaders in Machine Vision
The Enterprise
Machine Learning Will be a Part of Every Function in Every Business
Machine Learning for Sales, Marketing, and Personal Assistants
Machine Learning for Communication, HR, and Security
Machine Learning for Customer Service, Finance, and Productivity
What Happens When Jobs Run Out?
Energy & Natural Resources Industry
Distributed Energy Resources
Smart Grid
Digital Oilfield (DOF)
Financial Services Industry
Payments & Loyalty
Retail Banking Data Mining
Blockchains
Healthcare Industry
Digital Hospital
mHealth Services
Personalised Medicine
Manufacturing Industry
Distributed Infofacturing
Collaborative Manufacturing
Mobile Robotics
Transportation Industry
Connected Vehicles
Mobility Integration
Autonomous Cars
The Last Word
The Last Word-3 Key Takeaways
Appendix
Key Technologies Definitions
Artificial intelligence (AI) is a vision, a goal, and a set of technologies. Its breadth and complexity make it a difficult subject to understand and explain. Adding to the confusion is the number and variety of terms used. Machine learning (ML), deep learning, neural networks, and predictive analytics describe different AI approaches. Other marketing terms such as cognitive computing or autonomous machines further muddy the water.
The term artificial intelligence is often used to refer to artificial general intelligence (AGI). This is a type of AI that can transfer learning from one domain to another. AGI will be able to apply learning techniques to gain new skills without pre-programming. This AI is also called 'strong AI' and would be indistinguishable from a human mind.
Artificial super-intelligence (ASI) is the second type of AI. This is an extension of AGI, and would be superior to humans in every domain—from logic to creativity and from social intelligence to persuasion. It is this type of AI that forms the basis of media and cultural stories about the future of AI and robotics.
The most ground-breaking developments are occurring in the third category: artificial narrow intelligence (ANI). ANI systems have the ability to complete pre-defined and limited tasks. ANI is already part of software such as Google Search, Netflix, and Apple Siri. Once ANI algorithms are embedded in software, the threshold for what constitutes ANI shifts higher.
ML is the AI approach that gives machines the ability to learn from data. Other AI approaches, symbolic and statistical, use a different rule-based approach.
About this report
It is difficult to understand what is happening in the field of artificial intelligence (AI). New developments seem to happen weekly, and companies use different words to describe their products. The terms artificial intelligence, cognitive intelligence, autonomous machines, and machine learning are all thrown around. This research brings clarity to the complex AI landscape and explores recent breakthroughs in a technique called deep learning, explaining how it is making progress in AI challenges such as language, vision, and motion. Finally, the research takes a broad look at the impact of AI in the enterprise, specifically the energy, financial services, healthcare, manufacturing, and transportation industries.