谷歌云生成式AI的商业价值

Nancy GohringSenior Research Director,Artificial Intelligence, IDC Dave SchubmehlResearch Vice President,Artificial Intelligence and Automation, IDC Megan SzurleyBusiness Value Manager,Business Value Strategy Practice, IDC Table of Contents Business Value Highlights3 Executive Summary3 Situation Overview4 Google Cloud Generative AI Overview4 The Business Value Of Google Generative AI Use Cases5 Study Firmographics5 Choice and Use of Google Cloud Generative AI6 Business Value And Quantified Benefits Content Creation Use Case8Application Development Use Case10Data Enablement Use Case11Aggregated Use Case Business Value Results12End-User Productivity Impact of Google Cloud Generative AI Use Cases13Revenue Impact of Google Cloud Generative AI Use Cases15Operational Cost Impact of Google Cloud Generative AI Use Cases16 BUSINESS VALUE HIGHLIGHTSClick any link and look for the•symbol on the corresponding page. Use the Return to Highlights button to return this page. Executive Summary Most organizations now recognize that generative AI (GenAI) technology will bekey to business success. Over the past 12–24 months, organizations have identifiedand experimented with scores of GenAI use cases that have the potential to boostproductivity, reduce expenses, drive revenue, and enable innovation. Now, those IDC conducted research that explored the value and benefits for organizations usingGoogle Cloud generative AI technology to create and deliver GenAI-enabled solutions Based on these interviews and its Business Value methodology,IDC calculates that these customers achieved annual benefits worth •Significantly improving internal GenAI end-user productivity levels by reducingthe occurrence of repetitive, time-consuming processes •Increasing revenue opportunities by driving innovation, strategic thinking,and a better ability to support customer demand •Decreasing reliance on third-party support, licenses, and subscriptions •Enabling existing staff to work with greater agility Situation Overview The adoption of GenAI is no longer a question of “if.” To remain competitive, organizationswill need to use GenAI strategically across a variety of use cases, including those that areused by essentially all employees, as well as applications that target departments and Prioritizing investment in GenAI deployment across use cases requires an understandingof the costs and returns. Organizations are gaining experience in determining which KPIs are In addition, organizations are seeking and adopting tools and platforms that enablethem to rapidly experiment with, iterate on, and deploy GenAI applications that havemeaningful impacts on the business. Technology that supports GenAI is evolving rapidly, Google CloudGenerative AI Overview Google Cloud offers a wide range of services that enterprises use to build, deliver,and manage GenAI applications, including managing data, customizing and deployingmodels, and operating GenAI applications in production. With Google Cloud’s Vertex Vertex AI offers a model garden that supports model discovery, testing, customization,and deployment. Customers use evaluation tools to ensure reliable and compliant outcomes Google Cloud’s AI platform offers the full suite of tools, technologies, and services thatenterprises require to rapidly build, deploy, and manage GenAI applications that deliver The Business Value of GoogleGenerative AI Use Cases Study Firmographics IDC conducted research that explored the value and benefits organizations achievedby utilizing Google Cloud generative AI to create solutions that better support businessoperations. The project included nine interviews with organizations that have successfullydeployed Google Cloud generative AI technologies and have experience with and/orknowledge about the benefits and costs of using the solutions. While participants had Table 1presents the study firmographics. The participants represented small-sized(80 employees) to enterprise-sized (110,000 employees) organizations, with an averagebase of 27,798 employees and an average annual revenue of $7.7 billion. Most participantswere from the United States, with additional representation from Germany and the Choice and Use of Google Cloud Generative AI Study participants selected Google Cloud generative AI for several compelling reasons.They appreciated Google Cloud’s strong data capabilities and the flexibility of its AI models,which met their throughput, latency, and accuracy needs. The innovative nature ofGoogle Cloud, its responsiveness, and its ability to push boundaries were also significantfactors. Participants also valued the robust partnership and platform services that Google Participants discuss their partnership decision criteria below: Innovative and high performance (financial services):“The reason we decided to go with Google Cloud for generative AI was because Google [Cloud] is such a good data company. Our philosophy has been to use a hybrid cloudor hy