Gartner Research

Google, Apple Siri and IBM Watson: The Future of Natural-Language Question Answering in Your Enterprise

Published: 28 June 2013

ID: G00250733

Analyst(s): Jamie Popkin

Summary

NLQA systems such as Siri, Google and Watson employ natural-language processing and computational linguistics to directly answer user questions. By reducing the time to answer, these virtual assistants, search engines and cognitive systems offer improved business value.

Table Of Contents

Summary of Findings

Analysis

  • What Is a Natural-Language Question-Answering System?
    • What Problems Do Natural-Language Question-Answering Systems Solve?
    • What Kinds of Answers Do Natural-Language Question-Answering Systems Provide?
    • How Text Summarization Works
    • How Do Question-Answering Systems Work?
  • What Types of Natural-Language Question-Answering Systems Are Commercially Available, and What Problems Do They Solve?
    • Commercially Available Systems
    • What Problems Are Solved by Each Type of NLQA System?
  • Where Is Natural-Language Question-Answering Technology Headed?
    • Cloud-Based Architectural Concerns
    • Integration Capabilities With Enterprise Systems
    • Search Engine Futures
    • Virtual Assistant Futures
    • Cognitive System Futures
    • Graph Databases, Memory-Based Reasoning, Continuous Transaction, and Business Analytics for Data and Pattern Discovery
    • Voice Recognition Technology
  • Strengths
  • Weaknesses

The Details

  • Question-Answering and Text Summarization Technology
    • Factoid Question Answering
    • Text Summarization
  • Google, Siri and Watson Technical Architecture Overview
    • Google's Technical Architecture
    • Siri's Technical Architecture
    • Watson's Technical Architecture

Recommended Reading

Notes

©2020 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Become a client

Learn how to access this content as a Gartner client.