智能电力：人工智能是能源创新的核心.pdf

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1、Copyright 2024 by ScottMadden,Inc.All rights reserved.CONFIDENTIAL AND PROPRIETARYAI Use Cases in Power GenerationEPRI AI and Digital Transformation SummitLuke Martin|ScottMaddenJanuary 8,2025CONFIDENTIAL AND PROPRIETARYRecommendations for ScalingAI AdoptionDiscussion Outline01020304Introduction toA

2、I in Power GenerationReal-World Use Cases and PrototypesLessons Learned from AI DeploymentsNext Steps and Future Roadmap05Click on Q&A tab to ask general questions1Copyright 2024 by ScottMadden,Inc.All rights reserved.CONFIDENTIAL AND PROPRIETARYAI in Power Generation The OpportunityChallenges in Ge

3、neration:Aging Infrastructure:Requires smarter maintenance and planning solutions.Workforce Turnover:Loss of institutional knowledge as experienced staff retire.Operational Complexity:Increasing demand for efficiency and compliance.Why AI MattersAccelerates decision-making through actionable insight

4、s.Improves efficiency in planning,maintenance,and operations.Enhances knowledge retention by automating repetitive tasks and consolidating expertise.Reduces downtime,costs,and risks.2Copyright 2024 by ScottMadden,Inc.All rights reserved.Innovation Process to Select AI Use Cases and PrototypesCONFIDE

5、NTIAL AND PROPRIETARYAccelerating AI Adoption While Managing RiskThe main challenges companies face when trying to adopt AI:Limited AI Understanding:Many teams lack a practical understanding of AI capabilities and struggle to identify valuable applications.Stalled Innovation Progress:The emphasis on

6、 risk avoidance can stall innovation,preventing companies from implementing new AI capabilities.Data Bottlenecks:Data access and ownership challenges become roadblocks,delaying critical innovation initiatives.How to overcome these challenges and accelerate AI innovation:Deploy rapid prototypes and s