CBA boosts the bank’s AI capabilities to generate better customer and community outcomes, at greater pace and scale
公司规模
1,000+
地区
- Pacific
国家
- Australia
产品
- H2O.ai’s AI Cloud
技术栈
- Artificial Intelligence
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 金融与保险
适用功能
- 商业运营
- 销售与市场营销
用例
- 需求计划与预测
- 质量预测分析
服务
- 数据科学服务
- 系统集成
关于客户
Commonwealth Bank is Australia's largest bank and provides a variety of financial services including retail, business and institutional banking, funds management, superannuation, insurance, investment, and broking services. The bank is known for its strong domestic business banking franchise and leading retail banking business. It has a diverse customer base and operates in a variety of sectors. The bank is committed to building an AI-powered organization for the benefit of its customers and aims to be one of the highest quality, lowest cost sources of leads to its business customers.
挑战
Commonwealth Bank was looking to enhance its AI capabilities to provide more personalized and relevant experiences for its customers. The bank wanted to decrease the time to prototype new models from weeks to just 2 days. The bank was also looking to scale machine learning across the entire organization, including data scientists and business users. The bank was seeking a solution that would allow it to better help customers find personalized and relevant offers to save money while they shop across platforms like Little Birdie, Karta, CommBank Rewards, and Klarna, while at the same time driving sales for merchants.
解决方案
Commonwealth Bank formed an exclusive partnership and took a minority stake in H2O.ai, a global leader in Artificial Intelligence (AI). As part of the partnership agreement, Commonwealth Bank will provide H2O.ai’s state-of-the-art AI Cloud to its entire organization, including data scientists, data engineers, and business users. The bank will gain a dedicated H2O.ai team of experts, including industry-renowned ‘Kaggle Grandmasters’, machine learning engineers, and product specialists, to work full time on developing new AI solutions within the bank. Commonwealth Bank is now H2O.ai’s exclusive financial services partner in Australia and New Zealand, and provides the bank with access to top international talent to assist in working on the bank’s highest value customer needs.
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.”
