下载PDF
RandomTrees + Looker: Accelerating and Enabling Enterprise AI
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - API 集成与管理
适用功能
- 维护
用例
- 资产健康管理 (AHM)
- 预测性维护
服务
- 数据科学服务
- 系统集成
挑战
Businesses require critical equipment to be running at peak efficiencies and utilization in order to realize return on capital investments. In the digitally connected world, businesses face higher operational risks due to unexpected failures and quite often have limited insights into the root cause of problems. Common industry challenges are: Costs of unproductive time, Lower asset utilization, Risks of operating outside of manufacturer specifications, Regulatory compliance risk.
关于客户
RandomTrees is an AI company with a mission to create a climate that empowers enterprises to realize business outcomes. Their advisory services help clients to embark on business excellence journeys using AI with a proven methodology. Their delivery services provide the know-how across AI platforms, data engineering, and process expertise to build, run, and operate AI solutions.
解决方案
RandomTrees’ AURA™ is a suite of AI solutions that are platform agnostic and a ReadytoRun AI suite that can be augmented to supply chain, asset lifecycle management (ALM), customer relationship management (CRM), and computer vision systems. Looker and RandomTrees work together to accelerate and enable enterprise AI. By integrating Looker with RandomTrees AI suite, customers are able to improve the speed of creating AI-ready data. The insights generated by AURA are easily explained by a slick chat bot integration, and actions taken by users are integrated with enterprise systems.
运营影响
数量效益
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.
