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52 实例探究
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FICO's Transformation: Leveraging AWS for Rapid Innovation and Cost Reduction - Amazon Web Services Industrial IoT Case Study
FICO 的转型:利用 AWS 快速创新和降低成本
FICO 是一家领先的预测分析和决策管理软件公司,在快速开发和部署其解决方案(包括其旗舰产品 FICO 决策管理套件 (DMS))方面面临着挑战。该公司为 95% 的美国最大金融机构提供服务,传统上是一家本地软件公司。这种方法通常会导致长达数年的开发和交付时间,从而阻碍了公司向客户提供及时解决方案的能力。 FICO 希望专注于实施其软件,而不是等待客户的 IT 组织为其解决方案配置和构建底层基础设施。此外,FICO 需要确保强大的安全性,并在其运营中遵守支付卡行业 (PCI)、通用数据保护条例 (GDPR) 和其他法规。
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Innovative Cloud Migration: A Case Study of innogy Czech - Amazon Web Services Industrial IoT Case Study
创新云迁移:以innogy Czech为例
innogy Czech 是一家欧洲领先的能源公司,由于洪水风险而关闭了捷克共和国布尔诺的数据中心,因此面临着将其任务关键型 SAP 系统迁移到新地点的挑战。该公司必须做出决定,是将 SAP 实施迁移到德国的新数据中心,还是迁移到公共云,这将符合该组织的云优先战略。该公司的 IT 团队看到了通过迁移到云来实现运营转型的机会,不仅可以跟上未来业务的增长,还可以利用云的敏捷性、灵活性和管理效率。该公司认为从资本支出向运营支出的转变是另一个潜在的好处。然而,迁移过程充满了挑战,包括需要迁移数十 TB 的 SAP 数据、完成 Linux 操作系统和 Oracle 数据库的平台重构以及将数据转换为 Unicode,所有这些都不会对业务活动和客户产生负面影响。
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Movable Ink Gets Insights 50% Faster Using Amazon Athena - Amazon Web Services Industrial IoT Case Study
Movable Ink Gets Insights 50% Faster Using Amazon Athena
Movable Ink’s Intelligent Content Platform supports real-time personalization of email campaigns using up-to-date information from websites, social-media platforms, and APIs, as well as contextual data about device type, weather, recent user activity, and more. Additionally, it enables customers to analyze data about their users to make better marketing decisions. This process incorporates large and unpredictable amounts of data from a wide variety of sources, making the scale, elasticity, and connected nature of cloud services a logical fit. To meet these challenges, Movable Ink migrated its entire production environment to Amazon Web Services (AWS) in 2015, taking advantage of multiple regions and availability zones to provide redundancy, resilience, and scalability. In addition to the data and content used in personalized email messages, Movable Ink captures data on user behavior after users receive those messages, such as whether they opened the email, what items they clicked on, and what they browsed and purchased on websites as a result.
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FuseFX Renders 1,000 Frames in One Hour Using AWS Thinkbox Deadline - Amazon Web Services Industrial IoT Case Study
FuseFX Renders 1,000 Frames in One Hour Using AWS Thinkbox Deadline
FuseFX, a visual effects company, was facing a challenge of lack of compute power, specifically, finding enough nodes for the compute-hungry process of rendering computer-generated imagery (CGI). The company was growing quickly in terms of size and the scope of its creative ambitions. One of the responsibilities was ensuring that the capacity of the FuseFX content-creation pipeline grows right along with the rest of the company. The company needed a solution that could provide unlimited computing power, the ability to expand rendering nodes quickly, affordably, and essentially infinitely.
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Zignal Labs Performs Next-Level Sentiment Analysis Using Amazon SageMaker and Amazon EC2 - Amazon Web Services Industrial IoT Case Study
Zignal Labs Performs Next-Level Sentiment Analysis Using Amazon SageMaker and Amazon EC2
Zignal Labs, a company that helps its customers measure brand impact, mitigate reputation risks, and inform data-driven communications strategies, wanted to take existing sentiment classification techniques to the next level with a focus on reputation polarity. The company wanted to offer a solution that identifies the actual positive or negative impact of online content on a brand. Zignal Labs was all too familiar with the limitations of third-party sentiment-analysis solutions, having experimented with many of them itself. Some of these tools presented problems around scalability, and some weren't well suited to all the different media sources Zignal needed to track.
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Leveraging AWS for Enhanced Data Processing: A GumGum Case Study - Amazon Web Services Industrial IoT Case Study
利用 AWS 增强数据处理:GumGum 案例研究
GumGum 是一家领先的程序化、原生和社交分析软件解决方案提供商,在管理数据方面面临着重大挑战。该公司每天生成超过 10 亿个事件,相当于约 6 TB 的数据。需要持续处理如此大量的数据,以消除瓶颈并加快客户的决策速度。该公司迫切需要一种能够快速扩展的解决方案,以处理快速增长的流量和数据。挑战不仅在于管理数据量,还在于实时处理数据以便为客户提供有价值的见解。
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Trading with a One-Stop Digital Asset Platform - Amazon Web Services Industrial IoT Case Study
Trading with a One-Stop Digital Asset Platform
Modernity Financial Technologies, Ltd. was facing the challenge of supporting a rapidly growing user base on its digital currency exchange and investment platforms, MaiCoin and MAX Exchange. The company needed a solution that could easily scale to accommodate a 563% average monthly member growth rate and an 894% average monthly cryptocurrency exchange rate. Additionally, the company wanted to decrease its daily operational time and reduce costs.
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Matson Modernizes Shipping by Going All-In on AWS Cloud - Amazon Web Services Industrial IoT Case Study
Matson Modernizes Shipping by Going All-In on AWS Cloud
Matson, a leading U.S. shipping carrier in the Pacific Ocean, embarked on a journey to modernize its entire portfolio of enterprise applications and to upgrade and optimize every corner of its IT infrastructure. The shipping industry requires advanced IT capabilities to enable precise tracking of assets and customer shipments as they move around the world. Matson’s vessels, shipping terminals, container equipment, and truck shipments all require highly reliable technology to ensure that its transportation network operates at world-class levels. In addition, Matson’s customers count on cloud-based applications to provide real-time visibility and analytics in managing their own supply chains.
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Building an IoT Solution Using Eseye and AWS to Provide Customers in East Africa with Secure Access to Solar Energy - Amazon Web Services Industrial IoT Case Study
Building an IoT Solution Using Eseye and AWS to Provide Customers in East Africa with Secure Access to Solar Energy
SolarNow, a for-profit social business, provides solar energy products and financing solutions in East Africa. The company faced challenges in identifying common device pain points for customers and optimizing device longevity. As SolarNow’s customer base grew, the company began identifying areas for business growth and improvement. They noted pain points for customers, such as a short battery lifespan or inefficient solar panel usage, that they felt they could proactively address and prevent these issues using Internet of Things (IoT) technology to build a connected device and monitoring solution. SolarNow needed to be able to enhance access to and use of device data to remotely monitor system performance and alert customers of inefficient device usage.
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Morningstar Uses AWS to Rapidly Create Online Investment Marketplace - Amazon Web Services Industrial IoT Case Study
Morningstar Uses AWS to Rapidly Create Online Investment Marketplace
In 2016, the U.S. Department of Labor announced upcoming rule changes that would hold brokers and other investment advisers to a “fiduciary standard,” meaning they would be legally required to act in the best financial interest of their clients. This shift would restrict the types of investments that could be selected for certain retirement plans. Morningstar, Inc. recognized an opportunity to help employers find investments that comply with the fiduciary rule through an easy-to-use, online marketplace named Morningstar Plan Advantage. The marketplace would explain the regulations, offer searching and filtering of compliant investments, and ease enrollment into these plans. APIs connected to the application would allow investment providers to push data into the marketplace. Morningstar hoped to deliver an outstanding experience for employers and investment providers, and build revenue by increasing sales of plans for which they provide administrative services.
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Veracode Helps Developers Find Security Flaws Faster Using AWS - Amazon Web Services Industrial IoT Case Study
Veracode Helps Developers Find Security Flaws Faster Using AWS
Veracode, a CA Technologies company, is on a mission to secure software applications so developers don’t release software that could be susceptible to breaches. As part of this mission, the company created Greenlight, a tool that helps developers discover and fix security-related defects while they are writing code. Because Greenlight is designed to find security flaws quickly, Veracode must ensure strong performance. “We need to deliver security vulnerability results in under a minute,” says Patrick Day, principal cloud engineer for Veracode. “If developers wait too long for the data, they’ll move on to a different product.” Veracode also needs to scale its solution to accommodate growth. “As we were building the application, we needed to plan for increases in code-scan volume,” Day says. As an application-development company, Veracode also strives to reduce the amount of time employees spend managing the IT environment. Day says, “We’re focused on developing and deploying products, so we don’t want to put our resources and energy into managing and provisioning.”
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Vidsy Migrates to Amazon ECS in 10 days - Amazon Web Services Industrial IoT Case Study
Vidsy Migrates to Amazon ECS in 10 days
Vidsy, a London-based company that helps brands develop mobile-first video campaigns, was facing challenges with Docker Cloud. The company had moved all its applications into Docker containers running on Amazon EC2 instances and automated the administration of the containers using Docker Cloud. However, they regularly had to deal with Docker Cloud software bugs and dedicate precious engineering resources to fixing the issues. Furthermore, Docker Cloud’s cluster management feature was going end-of-life and Vidsy needed an alternative.
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TerrAvion Uses AWS to Help Farmers Improve Crop Yields Through High-Resolution Aerial Images - Amazon Web Services Industrial IoT Case Study
TerrAvion Uses AWS to Help Farmers Improve Crop Yields Through High-Resolution Aerial Images
Commodity-crop farmers across the United States often depend on satellite images of their fields to get an updated view of the health of their crops. However, the resolution of these images is not high enough for farmers to get the most accurate picture of their fields. In fact, for many specialty-crop growers, satellite images are somewhere between useless and misleading. TerrAvion is changing that. The company uses airplanes and drones to obtain full-frame and thermal images from high-resolution cameras. TerrAvion gives farmers, retailers, agronomists, and ag distributors the best possible pictures through OverView, the company’s core subscription service. “Our pictures offer resolutions of 9 or 18 centimeters per pixel, which satellite can’t do,” says Stephen Smith, CTO of TerrAvion. Using such high-resolution images, farmers can more accurately view the health of a plant.
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Using Machine Learning on AWS to Eliminate Manual Contract Reviews - Amazon Web Services Industrial IoT Case Study
Using Machine Learning on AWS to Eliminate Manual Contract Reviews
Companies experiencing rapid growth often lack the bandwidth to track each line of every contract, service agreement, or legal document before it’s executed. Even in the most carefully reviewed agreements, some information is forgotten as soon as the contract is signed. Once the business has matured and due diligence projects arise (for example, when a law changes or an acquisition takes place), companies must conduct detailed reviews of all signed contracts and identify specific terms within them. LinkSquares’ founders experienced the painful reality of reviewing existing legal contracts firsthand while their previous employer underwent an acquisition. The team identified existing software solutions helping companies efficiently address the pre-signature workflow: contract creation, terms negotiation, and internal workflow. However, the industry lacked a software solution to help companies mine for information in existing contracts.
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HeartFlow's Transformation of Heart Disease Diagnosis and Treatment with AWS - Amazon Web Services Industrial IoT Case Study
HeartFlow 利用 AWS 实现心脏病诊断和治疗的变革
HeartFlow 是一家医疗技术公司,正在通过其非侵入性 HeartFlow FFRct 分析彻底改变心脏病的诊断和治疗。该技术利用深度学习创建个性化的心脏 3D 模型,使临床医生能够更好地评估阻塞对血流的影响并确定最佳治疗方案。然而,该公司面临着重大挑战。心血管疾病是世界上最主要的死亡原因,每年夺走超过 1700 万人的生命。最常见的类型是冠状动脉疾病 (CAD),它会减少流向心脏的血液,导致胸痛、心脏病发作和死亡。临床医生需要知道是否存在阻塞、何处存在阻塞,以及它如何影响血流。这些信息对于为患者选择最佳治疗途径至关重要,例如医疗管理、支架置入或搭桥手术。然而,通常用于检测 CAD 的诊断性冠状动脉造影是侵入性的、昂贵的且存在潜在风险。超过一半接受测试的患者没有明显的阻塞,并且该过程可能会导致严重的并发症。
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Hiiir Inc.: Scaling Digital Media Services with IoT - Amazon Web Services Industrial IoT Case Study
Hiiir Inc.:利用物联网扩展数字媒体服务
Hiiir Inc. 是台湾领先的数字媒体公司,由于对其移动营销服务的需求快速增长,面临着巨大的 IT 挑战。该公司的本地解决方案无法满足快速扩展的需求。本地基础设施的采购周期很长,降低了公司的敏捷性并使预算复杂化,因为 IT 必须提前几个月预测其支出。此外,Hiiir 缺乏容纳大型数据中心的必要设施,也没有足够的 IT 人员来确保最佳性能。该公司需要一种解决方案,使他们能够根据需要扩展计算能力以支持其服务,而本地解决方案无法满足这一要求。
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Enhancing Photo Analytics Using AWS - Amazon Web Services Industrial IoT Case Study
Enhancing Photo Analytics Using AWS
Amplframe, a photography community platform in Taiwan, was facing challenges in managing the increase in website traffic, with 18,000 visits over a period of seven months. The company needed a solution that could efficiently handle the sudden spikes in website traffic during events or holidays. Additionally, they were looking for ways to enhance the user experience by reducing webpage loading time and increasing the website engagement rate.
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Firefly Boosts Student and Teacher Experiences in the AWS Cloud - Amazon Web Services Industrial IoT Case Study
Firefly Boosts Student and Teacher Experiences in the AWS Cloud
Firefly Learning, an online tool for teachers, students, and parents, was initially deployed by installing its software on Windows servers locally at each school. This setup presented numerous challenges, as supporting schools largely consisted of solving problems with their underlying infrastructure, such as dealing with backup issues and domain name system failures. As more schools adopted Firefly, the issues multiplied. The software was installed on hundreds of servers, and the task of supporting them all became overwhelming. Firefly needed a solution that would help join up the learning experience and allow for easier and more efficient support and management.
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Fuelling Conversation: How Springworks got cars talking with SPARK and created an app that’s become a standard on Swedish phones - Amazon Web Services Industrial IoT Case Study
Fuelling Conversation: How Springworks got cars talking with SPARK and created an app that’s become a standard on Swedish phones
Springworks launched SPARK, a platform that lets car owners receive key data about their vehicles at the touch of a button, served straight from the cloud, direct to their smartphones. The platform also connects them with service providers that can sort any issues that might come up – from MOTs to tyre changes. However, each talking car generates about 10,000 data points per day. To handle 20 million cars, Springworks needed a system that could handle several billion data points in one go. They wanted limitless scale. In order to hit the market with a great new product, Springworks needed to be able to focus on innovation. When they started out, the release cycle as about 2 weeks for a new feature – but the team wanted to move faster. Finally, data security was a major concern. For a new market offer that was looking to partner with the big mobile networks, security couldn’t be an afterthought. It had to be built into the SPARK infrastructure from the start.
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Edmunds Saves $100,000 in Year One by Going Serverless on AWS - Amazon Web Services Industrial IoT Case Study
Edmunds Saves $100,000 in Year One by Going Serverless on AWS
Edmunds, a company that helps consumers browse automobile dealer inventory, read vehicle reviews, and consume other automobile-related content, was planning a key update with better image quality and faster load times on the company's website and mobile apps. The company had a library of 50 million vehicle images that needed to be processed into several new aspect ratios and resolutions, resulting in more than half a billion new images. The company's existing image-handling solution, based on Cloudera MapReduce clusters, wasn't suitable for the job as it would have taken too long to develop and would have required the management of new clusters and incurred new monthly costs of at least $10,000.
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AWS Partner Story: Stonehenge NYC & Klika Tech – Bringing the Apartment of the Future to Today’s Tenants - Amazon Web Services Industrial IoT Case Study
AWS Partner Story: Stonehenge NYC & Klika Tech – Bringing the Apartment of the Future to Today’s Tenants
Stonehenge NYC, a private real estate group, was facing challenges with its outdated rental approval process and other tenant-related services. The company wanted to differentiate itself in the market by becoming technology-driven to drive efficiencies throughout its entire organization that result in a better customer experience. The team turned to Salesforce, a Customer Relationship Management (CRM) platform leader, to modernize the sales and leasing process. As the company continued to develop its Salesforce application and explore how new technologies, such as Internet of Things (IoT), would be key to its digital transformation journey, it chose to migrate its applications to Amazon Web Services (AWS).
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Spreading Joy Throughout the World, One Flower at a Time – Royal FloraHolland Uses Machine Learning on AWS to Evolve its Practices - Amazon Web Services Industrial IoT Case Study
Spreading Joy Throughout the World, One Flower at a Time – Royal FloraHolland Uses Machine Learning on AWS to Evolve its Practices
Royal FloraHolland, a century-old company, recognized the importance of going digital to provide its growers and buyers with more opportunities. The company wanted to improve current processes and provide growers and sellers with new opportunities to reach buyers. The company recognized its need to reorganize in order to go digital and become more data-driven. Royal FloraHolland wanted to use other trading methodologies outside of the physical auction house to sell flowers. The company also wanted to improve the quality of the images that are presented at the auction and provide buyers with stock availability and alternative options tailored to their preferences.
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