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Introduction

This research will review the advancements in the technologies that architect conversational AI, as well as the business value, future trends identified in the category, and recommendations for enterprises and vendors.

Highlights

  • The conversational market is maturing.
  • Technology shifts to conversationally intelligent solutions.
  • Conversational AI broadens to the enterprise.

Features and Benefits

  • Reviews the trends in the conversational AI market over the past year.
  • Identifies best practices and recommendations for enabling intelligent automation and conversational AI.
  • Assesses the benefits and key aspects necessary for long-term sustainability for conversational AI

Key questions answered

  • Are enterprises investing in conversational AI technologies?
  • What are the key trends in the conversational AI market?

Table of contents

Summary

  • Catalyst
  • Omdia view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

The conversational market is maturing

  • Enterprises are realizing the value of conversational AI
  • The paradigm around massive bot workflows is changing
  • Ethics take center stage

Technology shifts to conversationally intelligent solutions

  • Conversations are being analyzed to optimize the business
  • Advancements in NLU are bringing emotion detection and speech intent to the digital world

Conversational AI broadens to the enterprise

  • Conversational interfaces expand from customer-facing applications to employee-facing ones
  • RPA plus conversational AI equals intelligent automation
  • AI-powered enterprise assistants will operate ambiently

Appendix

  • Further reading
  • Author