INDEX

AI in the Enterprise: Conversational Interfaces

Table of Contents

  • 1. BUILDING INTERFACES FOR THE INTELLIGENT ENTERPRISE
    • 1.1. Executive Summary
    • 1.2. Key Findings and Strategic Recommendations
    • 1.3. Key Market Forecast
  • 2. AI IN THE ENTERPRISE MARKET ASSESSMENT
    • 2.1. Enterprise AI Market Dynamics
    • 2.2. Benefits of AI
  • 3. CONVERSATIONAL INTERFACE USE CASES
    • 3.1. Automation of Enterprise Tasks
    • 3.2. Enabling Enterprise Self-Service
    • 3.3. Increased Engagement
  • 4. IMPLEMENTING ML FOR CONVERSATIONAL INTERFACES
    • 4.1. Machine Learning
    • 4.2. Chatbots and Automation Scripts
    • 4.3. Virtual Assistants
  • 5. QUANTIFYING THE ENTERPRISE AI AND CONVERSATIONAL INTERFACE OPPORTUNITY
    • 5.1. Momentum Builds for the Chatbot Developer Community
  • 6. ECOSYSTEM VENDOR HIGHLIGHTS FOR ENTERPRISE CONVERSATIONAL INTERFACES
    • 6.1. AI Acquisitions, Mergers, and Acqui-hires
    • 6.2. Vendor Profiles


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Enhancing the employee experience by delivering both automation and simplification for job tasks is an opportunity for artificial intelligence (AI) to gain further adoption in the enterprise business. The digital interfaces that employees work with have traditionally been the mouse and keyboard for a computer, and the addition of touch for mobile devices. Machine learning (ML) technologies and techniques are now available to expand interfaces to include natural language voice processing, simplify interaction with process-driven systems using microapps for virtual assistants, and to deliver productivity using team collaboration applications and messaging platforms.
 
This report examines AI technologies and their use for conversational interfaces, including chatbot and virtual assistant applications, to enhance workflow and productivity of employees across common enterprise business functions.
 

Table of Contents

  • 1. BUILDING INTERFACES FOR THE INTELLIGENT ENTERPRISE
    • 1.1. Executive Summary
    • 1.2. Key Findings and Strategic Recommendations
    • 1.3. Key Market Forecast
  • 2. AI IN THE ENTERPRISE MARKET ASSESSMENT
    • 2.1. Enterprise AI Market Dynamics
    • 2.2. Benefits of AI
  • 3. CONVERSATIONAL INTERFACE USE CASES
    • 3.1. Automation of Enterprise Tasks
    • 3.2. Enabling Enterprise Self-Service
    • 3.3. Increased Engagement
  • 4. IMPLEMENTING ML FOR CONVERSATIONAL INTERFACES
    • 4.1. Machine Learning
    • 4.2. Chatbots and Automation Scripts
    • 4.3. Virtual Assistants
  • 5. QUANTIFYING THE ENTERPRISE AI AND CONVERSATIONAL INTERFACE OPPORTUNITY
    • 5.1. Momentum Builds for the Chatbot Developer Community
  • 6. ECOSYSTEM VENDOR HIGHLIGHTS FOR ENTERPRISE CONVERSATIONAL INTERFACES
    • 6.1. AI Acquisitions, Mergers, and Acqui-hires
    • 6.2. Vendor Profiles