美洲地区数据和人工智能现状

Global Data Insights Survey Tableof contents Foreword Executive summary and introduction Trend 1Data-first strategies advance AI innovation Trend 2Data is pervasive and growing Trend 3Data localization matters more than ever Trend 4Data drives the business agenda Build infrastructure foundations for dataand AI success Executive summaryand introduction According to IDC, the Americas is expected to spend the most on generativeartificial intelligence (GenAI) implementation from 2023 to 2027, accountingfor 59.4% of spending in 2023 and 58.0% in 2027.1In order to gain acompetitive edge in this challenging business landscape, IT leaders mustharness technologies that can transform their businesses. Artificial intelligence (AI) technology is disrupting businessas usual, especially in improving and enhancing customerexperiences, data analysis, risk forecasting, operationalapproaches, and more. As exciting as AI is, to truly capitalize on new AI initiatives, enterprise leadersneed a strategy for implementation. This strategy must include a Hybrid ITinfrastructure that fuels those initiatives. Our findings echo that the Americas are ahead of the curve, not only inspending but also in AI maturity and implementation. As enterprises in the Americas reach for global advantage, the findings in‘The State of Data and AI in the Americas’ show the necessity of leaning intoAI for insights and innovation and of recognizing the need for data and AI-ready infrastructure. Against this backdrop, Digital Realty commissioned the second edition ofthe Global Data Insights Survey, with responses fielded between October30 and December 4, 2023. The goal is to gain insights into how enterprisesare creating business strategies and redesigning legacy IT infrastructures tosupport their AI ambitions and goals. Let’s dive in and discover the insights to achieve your data and AI objectives. In this report, we focus on input fromIT leaders in the Americas— theU.S., Canada, Mexico, and Brazil — to understand how data and AI readinessstrategies are benefiting their enterprises. Steve Smith Managing Director, Americas, Digital Realty About thesurvey AI raises the stakes for enterprises and ITleaders. AI initiatives are data-intensive,fueled by a nearly endless stream ofdata, often ingested in real time or nearreal time. IT infrastructure that doesn’taccount for Data Gravity compromisessuccessful AI innovation and putscompanies at risk of being left behind. Honing in onthe Americas 606respondents 11industries 4countries To understand what it takes to succeedin this new era, we surveyed respondentsfrom across the globe to discover howthey are rethinking data strategies —prioritizing data investments, localization,and insights — and tackling uniquechallenges at a regional, local, andindustry level. Keyfindings IT leaders in the Americas know that to use AI and data-driven insights, they need to invest in dataprocessing, storage, infrastructure, and analytics tools. While many face similar challenges, they areall on the path to building a sustainable, data-centric future that will position them well for the globalAI revolution. 4.Data drives thebusiness agenda 3.Data localizationmatters morethan ever 2.Data is pervasiveand growing 1.Data-first strategiesadvance AI innovation 53% 58% 70%of companies across the 78% Americas are executing a formaldata strategy for their current orplanned IT locations of IT leaders in theAmericas are investing indata systems, infrastructure,and analytics tools to bebetter positioned to drawinsights from data of IT leaders in the Americasexpect data-driven insights toincrease customer satisfactionin the next two years of companies in theAmericas follow adistributed data approach 74% 69%are actively executing a formal 63% are tying a data locationstrategy to their AIstrategic plans AI strategy to either achieveoperational efficiency or launcha business or service offering say that improving thecustomer experience is whatthey most expect fromexecuting their AI strategy Data Gravity:A growingchallenge andopportunity Data Gravity refers to the idea that datahas mass. As that mass grows, it becomesincreasingly difficult to move or replicate. Data Gravity is the attractive force causedby enterprise data creation and exchange,drawing from applications, servers, and othersources. As a data set grows, it attractsapplications and services, creating a virtuouscycle of more data creation. Trend 1Data-firststrategiesadvanceAI innovation IT Leaders in the Americas settheir sights on revolutionizing theirindustries with AI-powered strategies Executing a formal datastrategy tops the priority listfor IT leaders — with AI andMachine Learning (ML) as thekey to unlocking insights Does your company have or plan to have a formal data strategy specifying therequirements for current or planned IT locations? Businesses across the Americas are alreadyrealizing the value of implementing strategiessp