Forrester：2024生成式AI在油气行业发展战略中的导航作用研究报告（英文版）（16页）.pdf

1、NAVIGATING THE FUTURE OF OIL&GASWith Generative AIWhere Gen AI stands in oil&gas and where its heading,featuring findings from a 2024 commissioned study by Forrester Consulting for SoftServe ReportNavigating the Future of Oil&Gas With Generative AI2TABLE OF CONTENTS Navigating the Future of Oil&Gas

2、With Generative AIKey FindingsAdoption and ProgressData and Technology UsePartnerships and Future DirectionsGoals and Strategic NeedsGen AIs Role in Transforming Traditional PracticesAdoption Trends in Oil&Gas Moving Beyond Pilots to Full IntegrationStrategic Prioritization of AI Use CasesThe Role o

3、f AI PartnersTechnical ExpertiseUpskilling and AdaptationInfrastructure UpgradesEdge Computing and IoT IntegrationData Management and Governance Managing Data From Multiple SourcesRegulatory Compliance and Data Security11122789910111166612131161113157Executive SummaryIntroduction to Gen AI in Oil&Ga

4、sBuilding a Strategic AI Roadmap for SuccessKey RecommendationsMethodologyChallenges to Scaling Gen AIReportNavigating the Future of Oil&Gas With Generative AI3Adoption of Gen AI46%of oil and gas companies are advancing quickly in their Gen AI journey,with projects already rolled out or in the proce

5、ss of scaling to production.Reliance on Enterprise Data 52%of oil and gas experts report that their organizations rely on enterprise data to train Gen AI models,but they face challenges in consolidating and streamlining it.Impact on Operations 59%of respondents are currently applying Gen AI in suppl

6、y chain management,with 22%planning to scale its use within the next 12 to 18 months.Types of Data Used in Gen AI Models Organizations are leveraging a variety of enterprise data types in their Gen AI models,with 66%using operational data,54%using public data,and 49%incorporating customer data.Reali