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市場調查報告書

企業的人工智能:機器學習

AI IN THE ENTERPRISE: MACHINE LEARNING

出版商 ABI Research 商品編碼 510029
出版日期 內容資訊 英文 26 Pages, 5 Tables, 1 Chart
商品交期: 最快1-2個工作天內
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企業的人工智能:機器學習 AI IN THE ENTERPRISE: MACHINE LEARNING
出版日期: 2017年05月30日 內容資訊: 英文 26 Pages, 5 Tables, 1 Chart
簡介

本報告以人工智慧中特別以器學習為焦點,提供機器學習的技術與商務解決方案的用途調查,企業引進機器學習的系統性資訊。

第1章 智慧型企業的時代

  • 摘要整理
  • 主要調查結果與策略性建議
  • 企業引進的產業計畫的作成
  • 資料科學家為對象的人工智慧相關的工作
  • 企業的人工智慧:市場預測

第2章 企業的人工智慧:市場評估

  • 市場動態
  • 人工智慧的優點
  • 市場機會的數值化

第3章 人工智慧的種類

  • 機器學習
  • 深層學習

第4章 生態系統和供應商的亮點

  • 收購、合併、收購的人力資源的獲得
  • 供應商簡介
目錄
Product Code: AN-2656

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
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