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Google Cloud Platform
概述
公司介绍
物联网应用简介
Google Cloud Platform 是基础设施即服务 (iaas), 分析与建模, 平台即服务 (paas), 网络与连接, 机器人, 传感器, 功能应用, 网络安全和隐私, 应用基础设施与中间件, 和 自动化与控制等工业物联网科技方面的供应商。同时致力于农业, 服装, 汽车, 建筑物, 水泥, 建筑与基础设施, 消费品, 电子商务, 教育, 电网, 设备与机械, 金融与保险, 食品与饮料, 玻璃, 医疗保健和医院, 生命科学, 国家安全与国防, 包装, 塑料, 零售, 电信, 和 运输等行业。
技术
用例
功能区
行业
服务
技术栈
Google Cloud Platform的技术栈描绘了Google Cloud Platform在基础设施即服务 (iaas), 分析与建模, 平台即服务 (paas), 网络与连接, 机器人, 传感器, 功能应用, 网络安全和隐私, 应用基础设施与中间件, 和 自动化与控制等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
实例探究.
Case Study
BBVA: Leveraging Geospatial Data for Innovative Customer Services
BBVA, a global banking and financial services group, was faced with the challenge of adapting to the rapidly changing landscape of digital payments. The bank noticed a significant increase in mobile payments, particularly during the COVID-19 pandemic, with the percentage of customers using this method rising from 4.4% to 23%. As part of its digital transformation journey, BBVA aimed to offer its customers an exceptional range of services and a great banking experience. The bank was already using Google Maps Platform to help customers find their nearest branch or ATM locations, but it wanted to further leverage the potential of Google Maps Platform solutions. BBVA's mobile banking app was used by 71% of its customers in Spain, and was accessed more than 120 million times a month. The bank wanted to provide more information about each customer transaction to offer a better financial experience for digital customers.
Case Study
Data-Driven Innovation in Insurance: A Case Study of Assurance IQ and Looker
Assurance IQ, a direct-to-consumer platform offering personalized health and financial wellness solutions, faced a significant challenge in its early days. The company's data team was small and struggled with a scattered internal view of the business due to disconnected reports in siloed tools. They were using Excel, SQL, and other in-house tools, but lacked a true business intelligence (BI) platform. This resulted in inefficient use of time and a lack of a complete real-time view of the business for decision-making. Leadership lacked critical insight, and there were constant challenges around trust and consistency of the data. The data team wanted to ensure that each team member was looking at the same clean, accurate data and wanted to empower employees to explore the data on their own. However, the visualization tool they were using lacked version control and standardization.
Case Study
Bank BRI: Revolutionizing Financial Inclusion in Asia with Digital Banking
Bank Rakyat Indonesia (Bank BRI), one of the largest banks in Indonesia, was faced with the challenge of increasing financial inclusion among unbanked Indonesians. The bank had an ambitious target of having 84 percent of Indonesians participating in the banking system by 2022. However, the bank's legacy technologies were proving to be a hindrance in achieving this goal. Each of the bank's products had their own public APIs, which were difficult to manage, secure, and monetize. Additionally, the process of onboarding new partners using host-to-host and VPN technology was time-consuming, taking up to six months. The bank also faced the challenge of reaching a largely rural population, with an estimated $8.3 billion in currency being held outside the banking system.
