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Artificial Intelligence/Machine Learning Use Cases in Asia/Pacific (Excluding Japan) Manufacturing

Published: | IDC | 7 Pages | Delivery time: 1-2 business days


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Artificial Intelligence/Machine Learning Use Cases in Asia/Pacific (Excluding Japan) Manufacturing
Published: April 27, 2021
Content info: 7 Pages
Delivery time: 1-2 business days
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According to IDC's IT Spending Guide, artificial intelligence (AI)-driven quality management and recommendation systems account for over 35% of the overall IT spend. This indicates a clear skew toward technology investments that rely on improving and gaining operational efficiencies. To gain these advantages, organizations must first identify the niche use cases, which typically do not come on the business radars. This IDC Perspective talks about some key use cases having a high potential to scale and automate by weaving in cognitive and contextual elements supported by self-learning routines."The understanding and application of AI technologies in the manufacturing space is quite limited, with several Asia/Pacific organizations still going through the formative stages of digital transformation (DX). Data quality, as the underlying thread, is still the most pivotal element that will initially determine a clear case for implementation and, subsequently, the success of the initiatives," says Sampath Kumar Venkataswamy, research manager, IDC Asia/Pacific Manufacturing Insights.

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Product Code: AP47214621

Executive Snapshot

Situation Overview

  • Understanding AI's Role in Enabling Operational Efficiencies
    • AI-Enabled Process Optimization and Data Standardization
      • Case Study: Piramal Glass Implemented an Internet of Things Platform Consuming Real-Time Machine Data to Enhance Manufacturing Efficiency
    • Shop Floor Configuration and Flow Layout Determination Using AI
      • Case Study: Tata Steel, Collaborating with AnyLogic, Increased Its Unit Throughput By Optimizing Process Inflows and Testing Various Layout Configurations
      • Case Study: Siam Cement Group Improved Production Efficiency Using Microsoft Project Bonsai
    • Advanced Process Control and Automated Condition Monitoring
      • Case Study: Chinese Oil Refinery Sinopec Built Efficiency in Its Operations Through a Partnership with Siemens

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