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里瑞通(Digital Realty):2024全球数据洞察调研:金融服务行业的数据和AI现状报告(中译版)(23页).pdf

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1、The State of Data and AI in Financial ServicesGlobal Data Insights S|2 |2 Foreword Introduction Trends Next stepsTable of contents 03 About the State of Data and AI in Financial Services report08 Trend 1:Data-first strategies advance AI innovation10 Trend 2:Data is pervasive and growing12 Trend 3:Da

2、ta localization matters more than ever 15 Trend 4:Data drives the business agenda19 Build digital infrastructure foundations Introduction Trends Next stepsThe State of Data and AI in Financial S|3 Goals1.Understand how and why enterprises in financial services are rethinking data and AI strategies a

3、t the global,regional,local,and industry level2.Explore the link between Data Gravity and enterprise strategies for storing and processing data with the goal of delivering optimal customer,employee,and partner experiencesRespondents2,254 global IT decision-makers across 11 industriesRespondents from

4、 21 countries in the Americas,Asia Pacific,and Europe Targeted respondents in companies ranging from sub-$100 million small and medium-sized businesses(SMBs)to multinational corporations with over$1 billion in annual revenueAbout the the survey362IT decision-makers$100M$1B+Company size by revenueRes

5、pondents in Financial ServicesThe State of Data and AI in Financial ServicesIntroduction Trends Next steps*Because of rounding,not all figures in this report add up to 100%The State of Data and AI in Financial ServicesIT leaders in financial services know that to truly unlock the value of AI and rea

6、p the benefits of data-driven initiatives,they need to invest in foundational strategies that support data processing,storage,infrastructure,and even analytics tools.While they still face challenges with investment in infrastructure and leadership buy-in,they are on the right path to building a sust

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根据《金融服务业数据与AI现状报告》,以下为全文关键点: 1. **数据与AI策略**:70%的金融服务业IT领导者表示,他们正在执行或计划执行正式的数据策略,以支持当前或计划中的IT位置。 2. **数据增长**:56%的受访者表示,缺乏对数据系统、基础设施和数据分析工具的投资影响了他们从数据中提取见解的能力。 3. **数据本地化**:79%的金融服务业公司采用分布式数据方法,70%将数据位置策略与AI战略计划相结合。 4. **数据驱动业务**:54%的受访者认为,数据驱动的见解将最大程度地影响提高客户满意度和体验。 5. **AI成熟度**:22%的受访者将自己评为AI成熟度5级(AI是转型性/业务模式的关键部分),78%的受访者成熟度较低。 6. **数据重力**:数据增长吸引应用程序和服务,形成更多数据创建的良性循环。
"数据驱动金融,AI如何助力?" "数据重力挑战,金融企业如何应对?" "AI成熟度,金融行业如何提升?"
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