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Identifying investment opportunities more quickly using Coalesce.Info and IBM Watson offerings
技术
- 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
用例
- 质量预测分析
- 供应链可见性(SCV)
服务
- 数据科学服务
- 软件设计与工程服务
挑战
Catalyst Investors 是一家私募股权和风险投资公司,其面临的挑战是从多个内容来源中寻找投资机会。该公司采用严格的、基于研究的投资方法,并聘请经验丰富的技术分析师主动识别其关键行业的重要趋势,从而脱颖而出。然而,跟上不断更新的新闻警报以及有关其市场和目标公司的不断变化的信息是一项艰巨的任务。非结构化数字内容的数量每年都在呈指数级增长,因此筛选大量在线内容以寻找和评估潜在商机的过程非常艰巨。
关于客户
Catalyst Investors 是一家私募股权和风险投资公司,成立于 1999 年,总部位于纽约。该公司专注于后期风险投资、成长资本、收购以及对新兴成长型公司的其他投资。Catalyst 被 GrowthCap LLC 评为顶级成长型股权公司之一,投资于云计算、无线基础设施、商业和消费者服务等领域的快速增长的技术支持型企业。该公司通过采用严格的、基于研究的投资方法,并聘请经验丰富的技术分析师主动识别其关键领域的重要趋势,从而脱颖而出。
解决方案
为了应对这一挑战,Catalyst 聘请 IBM 业务合作伙伴 Coalesce.Info 部署由 IBM Watson 服务支持的自动化研究工具。该解决方案 Coalesce 技术是一种由 IBM Watson Analytics 技术支持的软件即服务 (SaaS) 解决方案。该产品使用 IBM Watson Discovery News 服务系统地分析来自每日新闻媒体的 50,000 多篇报道。该软件从研究人员那里学习,根据他们的自定义分析过程生成一份最佳机会的简短列表。该解决方案还使 Catalyst 能够询问有关其潜在客户的具体问题,例如“哪些公司进行了收购?”为了理解这些问题的意图,该解决方案采用了 IBM Watson Natural Language Classifier 和 IBM Watson Natural Language Understanding 服务。
运营影响
数量效益
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.”