世界经济论坛-在工业运营中利用人工智能革命：指南（英）-2023.10-21页_923kb

Executive Summary and Key Findings

The white paper "Harnessing the AI Revolution in Industrial Operations: A Guidebook" explores how artificial intelligence (AI) can transform manufacturing by boosting productivity, flexibility, and sustainability. While 90% of companies recognize AI's potential, only 16% have achieved their AI-related targets, primarily due to gaps in organizational and technological foundations.

Key topics include:

• AI's capability to enhance operations through applications like demand forecasting and generative AI.
• The AI journey phases: defining long-term objectives, conducting a step-by-step implementation, and staying updated with innovations.
• Essential foundations: organizational elements like governance and skills, and technological aspects such as data management and computing resources.

The guidebook offers a systematic approach to successful AI adoption across production networks, emphasizing the need for value-driven strategies, scalability, and continuous improvement.

AI Journey Stages

• Paving the way: Starts with articulating AI objectives and transformation principles for initial success.
• Mastering the AI journey: Involves diagnosis to identify gaps, design strategy, engineering solutions, implementation, and scaling.
• Staying at the forefront: Includes periodic reviews to adopt new AI innovations.

Organizational and Technological Foundations

• Organizational: Effective governance, workforce skills (including cross-functional expertise), change management for employee buy-in.
• Technological: Adequate data sourcing and processing, computing power (on-premises or cloud-based), connectivity, and cybersecurity to support AI scalability.

In conclusion, the guidebook provides a comprehensive framework for manufacturers to harness AI's evolving innovations, ensuring long-term productivity gains and addressing current challenges holistically.