기업 검색에서 인공지능(AI) 탑재 인사이트로

※ 본 상품은 영문 자료로 한글과 영문목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

인공지능(AI)을 이용한 기업 검색 상황을 변화시키는 방법에 대해 확인하고, 체계적인 정보를 제공합니다.

1. 주요 요약

2. 상황 개요

• 개요
• 소비자 검색을 엔터프라이즈 설정으로 변환하는 경우의 과제
• 인공지능(AI)이 통찰력에 접근하는 방법
• 공급업체/제품 사례
• 이용 사례

3. 기술 구매자에 대한 제안

4. 참고자료

• 관련 조사
• 요약

This IDC Perspective explores how artificial intelligence is changing the landscape of enterprise search. Enterprise knowledge architects and search administrators everywhere face the same challenge: the frustrated user who asks plaintively, "Why is it so hard to find things around here? Why doesn't our search just work like when I do a web search on Google?" While this seems like a simple proposition to users, there is a plethora of challenges associated with translating consumer-like search to the enterprise. Advancements in artificial intelligence are helping address many of these challenges."Enterprise search has traditionally lagged behind consumer search when it comes to understanding natural language queries and delivering accurate, relevant insights in context, but the need for intelligent tools that can do this effectively is stronger than ever," said Hayley Sutherland, senior research analyst for AI Software Platforms. "The timely emergence of a new generation of AI-enabled search tools, leveraging techniques and technologies like machine learning, knowledge graphs, and NLP, is helping close the gap between consumer and enterprise search capabilities, thus enabling knowledge workers to discover new contextualized insights and be more efficient, effective, and satisfied in their jobs."

Executive Snapshot

Situation Overview

• Overview
• Challenges in Translating Consumer Search to the Enterprise
• How AI Moves Us Closer to Insights
• Vendor/Product Examples
• Use Case Examples

Advice for the Technology Buyer

Learn More

• Related Research
• Synopsis