Leaders Are Drawn To A Variety Of GenAI Use Cases Heavy industry leaders aspire to use genAI to drive improvements for business-critical requirements including efficiency, reliability, sustainability, and compliance scenarios: • Research and development (e.g., accelerate product development, improve research processes, develop predictive modeling, perform simulations). • Operational reliability (e.g., surface operational risks, optimize asset performance, enhance maintenance troubleshooting, improve safety). • Process/energy optimization (e.g., increase production throughput, ensure quality, optimize process efficiency, reduce resource costs). • Supply chain (e.g., improve network visibility, streamline supplier management, improve order fulfillment). • Environmental, social, and governance (ESG) (e.g., improve sustainability performance, ensure reporting compliance, drive stakeholder engagement). Current And Near-Term GenAI Use Case Adoption 29% 23% 14% Research and development 24% 22% 17% Operational reliability 13% 32% 16% Process and energy optimization 18% 25% 17% Supply chain 11% 23% 17% ESG Currently using Currently piloting Planning to use within the next 12 months are interested in, planning to use, or already using genAI for these use cases. More than 75% 9 © FORRESTER RESEARCH, INC. ALL RIGHTS RESERVED. 8 Base: 96 leaders in North America with authority or influence over AI and/or analytics decisions at energy/utilities, heavy manufacturing, and chemical manufacturing organizations Source: A commissioned study conducted by Forrester Consulting on behalf of C3.ai, February 2024
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