分析与人工智能

analytics

Data Analytics is the baseline for machine learning, automation, and additionally for the successful usage of artificial intelligence. Ginkgo provides not only technical knowledge but also the know-how to transform organizations and embed requirements into business and IT architecture.

Lars Godzik

Founding Partner

 

分析与人工智能

能否认识到数据是最有价值的资产是现代经济成功的关键。数据为领域关键推动因素奠定基础,如物联网、全自动车辆和人工智能。企业通过编程和数据建立分析预测机制和机器学习模型,从而将其作为价值链中的重要元素进行融合,向自动化决策和完全集成AI的方向发展。景格能够从整体上支持客户的转型,包括文化、组织、过程和技术等方面。

项目与参考信息

5

AIOps / Autonomous Data Center

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Faced with the challenge of growing complexity of IT Infrastructure operations Ginkgo developed and implemented jointly with the client automation and machine learning-based server operations management features in a large scale regional data center. This resulted not only in efficiency gains but also enhanced service quality due to the elimination of human errors and an increase in speed.
5

Arrival Predictions

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To address the low accuracy of prediction of the arrival of trains, wagons, and shipments, the client decided to implement ETA prediction capabilities. Ginkgo supported the client in creating a prognosis model utilizing a variety of data to predict the estimated arrival time of cargo trains with more accuracy and full automation.
5

Predictive Maintenance

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After implementing an airline operator platform, the airline industry client requested Ginkgo to develop state-of-the-art outlier detection models for various applications inside the airline operator platform. One of the focus points was to generate a highly accurate set of prediction models for maintenance services. These led to increased safety and reduced maintenance cost by avoiding unplanned downtimes for several airline operators in the group.
5

AI Solution for Aftersales Automation

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As part of a digital transformation program, Ginkgo was mandated to further improve the warranty and claim management in Aftersales of an Automotive OEM. Jointly with the client, Ginkgo developed a strategic approach, re-designed business processes, and defined a best-of-breed toolchain allowing a replacement of old systems by integrated AI solutions.

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