INDEX

AI in the Enterprise: Machine Learning

Table of Contents

  • 1. THE AGE OF THE INTELLIGENT ENTERPRISE
    • 1.1. Executive Summary
    • 1.2. Key Findings and Strategic Recommendations
    • 1.3. Building the AI Business Case for Enterprise Adoption
    • 1.4. AI Jobs for Data Scientists and Future Workers
    • 1.5. Key Market Forecast
  • 2. AI IN THE ENTERPRISE MARKET ASSESSMENT
    • 2.1. Enterprise AI Market Dynamics
    • 2.2. Benefits of Artificial Intelligence
    • 2.3. Quantifying the Artificial Intelligence in the Enterprise Opportunity
  • 3. SELECTING AN ARTIFICIAL INTELLIGENCE TYPE
    • 3.1. Machine Learning
    • 3.2. Deep Learning
  • 4. ECOSYSTEM VENDOR HIGHLIGHTS FOR ARTIFICIAL INTELLIGENCE IN THE ENTERPRISE
    • 4.1. AI Acquisitions, Mergers, and Acqui-Hires
    • 4.2. Vendor Profiles


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Microprocessor advancements, the availability of inexpensive storage and cloud services, a new generation of machine learning (ML) algorithms, and particularly data at scale, are the drivers for artificial intelligence (AI) and ML’s recent explosive growth. Much like the introduction of digital photography, which was no longer limited by the size and cost of physical film, ML is now available for all businesses, regardless of the revenues, size of the organization, and number of resources.

This report examines ML technologies and their applications used in support of common enterprise business solutions across all industries and all organizations including sales, human resources, marketing, legal, finance, IT, business development, and more. 

Table of Contents

  • 1. THE AGE OF THE INTELLIGENT ENTERPRISE
    • 1.1. Executive Summary
    • 1.2. Key Findings and Strategic Recommendations
    • 1.3. Building the AI Business Case for Enterprise Adoption
    • 1.4. AI Jobs for Data Scientists and Future Workers
    • 1.5. Key Market Forecast
  • 2. AI IN THE ENTERPRISE MARKET ASSESSMENT
    • 2.1. Enterprise AI Market Dynamics
    • 2.2. Benefits of Artificial Intelligence
    • 2.3. Quantifying the Artificial Intelligence in the Enterprise Opportunity
  • 3. SELECTING AN ARTIFICIAL INTELLIGENCE TYPE
    • 3.1. Machine Learning
    • 3.2. Deep Learning
  • 4. ECOSYSTEM VENDOR HIGHLIGHTS FOR ARTIFICIAL INTELLIGENCE IN THE ENTERPRISE
    • 4.1. AI Acquisitions, Mergers, and Acqui-Hires
    • 4.2. Vendor Profiles