花旗风险投资公司投资 DataRobot 以开拓自动化机器学习领域
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- DataRobot AI Cloud
- AutoML
- Automated Time series
技术栈
- AI
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 分析与建模 - 机器学习
- 分析与建模 - 大数据分析
适用行业
- 金融与保险
适用功能
- 离散制造
- 质量保证
用例
- 预测性维护
- 欺诈识别
服务
- 数据科学服务
关于客户
Citi Ventures 是花旗银行的创新部门，花旗银行是一家总部位于纽约市的跨国投资银行和金融服务公司。该组织致力于利用花旗的力量帮助人们、企业和社区在技术变革的世界中蓬勃发展。Citi Ventures 与花旗同事、客户和创新生态系统合作探索、孵化和投资新想法。该团队专注于六个关键领域：金融服务和技术、商业和支付、数据分析和机器智能、安全和企业 IT、营销和客户体验以及房地产技术。自 2010 年成立以来，Citi Ventures 已投资了 100 多家不同的公司，以增强花旗的产品和服务。
挑战
花旗风险投资公司是花旗银行的创新部门，它不断寻找技术和金融服务领域的新兴趋势，以帮助解决花旗及其客户面临的挑战。自 2010 年成立以来，花旗风险投资公司已投资了 100 多家不同的公司，以增强花旗的产品和服务。然而，该组织正在寻求能够更有效地解决花旗及其客户挑战的创新。他们对人工智能和机器学习领域特别感兴趣，他们认为这是金融行业的游戏规则改变者。他们正在寻找一种可以同时赋能数据科学家和业务用户的解决方案，自动化大部分建模过程，并腾出时间专注于解决复杂的业务问题。
解决方案
Citi Ventures 选择投资 DataRobot，认为该公司在将 AI 和机器学习扩展到数据科学团队之外方面处于市场领先地位。DataRobot 的 AI Cloud 平台涵盖整个建模生命周期，从数据准备到部署到生产，再到模型监控和风险管理。这一全面的解决方案吸引了 Citi Ventures，因为它使他们的数据科学家能够更多地专注于解释而不是建立模型。该平台还与 Snowflake 和 Databricks 很好地集成，使客户能够从 AI 和机器学习的投资中获得更多收益。借助 DataRobot AI Cloud，花旗数据科学家和其他业务用户能够减少与建模相关的大量数据准备和监控。该解决方案缩小了可能最适合的模型的范围，并允许花旗利用所有 DataRobot 客户的数亿个模型。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.
Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
MasterCard Improves Customer Experience Through Self-Service Data Prep
Derek Madison, Leader of Business Financial Support at MasterCard, oversees the validation of transactions and cash between two systems, whether they’re MasterCard owned or not. He was charged with identifying new ways to increase efficiency and improve MasterCard processes. At the outset, the 13-person team had to manually reconcile system interfaces using reports that resided on the company’s mainframe. Their first order of business each day was to print 20-30 individual, multi-page reports. Using a ruler to keep their place within each report, they would then hand-key the relevant data, line by line, into Excel for validation. “We’re talking about a task that took 40-80 hours each week,” recalls Madison, “As a growing company with rapidly expanding product offerings, we had to find a better way to prepare this data for analysis.”
