Game Changers—Artificial Intelligence: What You Need to Know

Game Changers—Artificial Intelligence: What You Need to Know

Understanding the Impact and Applications of Artificial Intelligence, Machine Learning, and Deep Learning

RELEASE DATE
17-Nov-2015
REGION
Global
Research Code: MB7E-01-00-00-00
SKU: MX0138-GL-MR_18163
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Description

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.

Table of Contents

Key Findings

Key Findings (continued)

Why Explore Artificial Intelligence?

Identification of 30 Key Technology Trends

Scoring Technology Trends by Disruptive Potential

Scoring Technology Trends by Disruptive Potential (continued)

Scoring Technology Trends by Disruptive Potential (continued)

Artificial Intelligence Overview

Artificial Intelligence Overview (continued)

Artificial Intelligence Overview—Other Terminology

Artificial Intelligence Approaches Map

Artificial Intelligence Approaches

Key Driver of Artificial Intelligence Progress—Exponential Rate of Change

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

Most Important Restraint—The End of Moore’s Law (continued)

Most Important Restraint—The End of Moore’s Law (continued)

Machine Learning by Learning Style

Machine Learning by Function

Key Machine Learning Algorithm Classes by Function

Machine Learning Business Models

Neural Networks Overview

Neural Networks by Class

Neural Networks by Class (continued)

Deep Learning Overview

Key Deep Neural Network Architectures

Key Deep Neural Network Architectures (continued)

Key Deep Neural Network Architectures (continued)

Leaders in Deep Learning—B2C Business Model

Leaders in Deep Learning—B2B Business Model (continued)

Deep Learning Applications

Text Natural Language Processing Overview

Leaders in Text Natural Language Processing

Audio Natural Language Processing Overview

Leaders in Audio Natural Language Processing

Computer Vision

Leaders in Machine Vision

Machine Learning Will be a Part of Every Function in Every Business

Machine Learning Will be a Part of Every Function in Every Business (continued)

Machine Learning Will be a Part of Every Function in Every Business (continued)

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?

Trend 1—Distributed Energy Resources

Trend 2—Smart Grid

Trend 3—Digital Oilfield (DOF)

Trend 1—Payments & Loyalty

Trend 2—Retail Banking Data Mining

Trend 3—Blockchains

Trend 1—Digital Hospital

Trend 2—mHealth Services

Trend 3—Personalised Medicine

Trend 1—Distributed Infofacturing

Trend 2—Collaborative Manufacturing

Trend 3—Mobile Robotics

Trend 1—Connected Vehicles

Trend 2—Mobility Integration

Trend 3—Autonomous Cars

The Last Word—3 Key Takeaways

Legal Disclaimer

Key Technologies Definitions

Key Technologies Definitions (continued)

Key Technologies Definitions (continued)

Key Technologies Definitions (continued)

Key Technologies Definitions (continued)

Key Technologies Definitions (continued)

The Frost & Sullivan Story

Value Proposition—Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy

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.
More Information
No Index No
Podcast No
Author Lawrence Lundy
WIP Number MB7E-01-00-00-00
Is Prebook No