Peak
概述
公司介绍
Peak 提供的决策智能平台不仅提供模型，还提供结果。它是一个单一平台，可帮助您在单一平台上快速部署多个人工智能驱动的解决方案。它将您从孤立的数据和系统一路带到将人工智能交到商业决策者手中。它旨在使您始终能够做出超人的决定。
物联网解决方案
人工智能正在为现代制造业提供动力有远见的制造商正在利用人工智能数据来推动成功。它可以为制造商做什么？ Peak 开创性的人工智能制造方法专注于为您的业务提供切实的成果。 - 预测需求 改进您的预测以更准确地预测需求 - 优化库存 减少您持有的库存和原材料数量以节省现金，同时仍然满足需求 - 减少浪费 通过减少不必要的浪费和积极影响您的碳排放来提高效率足迹 - 连接业务系统 获得整个业务的统一端到端视图，利用来自整个价值链的数据 - 增强现有基础设施 Peak 的 AI 系统是位于现有系统之上的“智能层”，因此没有需要撕掉和更换
物联网应用简介
技术栈
Peak的技术栈描绘了Peak在平台即服务 (paas), 应用基础设施与中间件, 和 分析与建模等物联网技术方面的实践。
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边缘层
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应用层
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配套技术
技术能力:
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中等
强
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实例探究.
Case Study
Creating an Unrivaled Customer Experience with AI: A Case Study on Eurocell
Eurocell, the UK’s leading manufacturer, distributor, and recycler of UPVC window, door, conservatory, and roofline systems, faced a challenge in harnessing their vast amounts of data to provide customers with an unrivaled customer experience. They aimed to fully personalize every single customer touchpoint, improving their understanding of their customers and how they communicate with them through their digital channels and branch teams. This need intensified during the COVID-19 pandemic as their e-commerce sales rapidly increased. They recognized that artificial intelligence (AI) could empower them to deliver on their strategic goal, but needed help distinguishing between their diverse customer-base in their SAP data, and understanding how their data could be used to create AI models.
Case Study
Transforming Inventory Management with AI: A Case Study on Speedy Hire plc
Speedy Hire plc, a FTSE-listed equipment rental and support services provider, faced a significant challenge in managing its complex network of 3,500 products across 200 depots in the UK. The company's commitment to excellent customer service meant always having the right products available whenever and wherever customers needed them. This was a complex task due to the variety of products, from simple cut-off saws to lighting towers, and the need to forecast not just one-off sales but also the likely duration of hire and expected product condition on return. Furthermore, Speedy had committed itself to a four-hour delivery and collection promise, adding another layer of complexity to its operations.
Case Study
Driving Sales Growth with AI: A Case Study on Regit
Regit, formerly known as Motoring.co.uk, is the UK’s leading online service for drivers. The company faced a significant challenge in predicting which of their 2.5 million users were likely to change their vehicle and when. This information was crucial for the company to serve their customers in a more personalized and targeted way. The company operates by generating leads for companies in the automotive industry by providing a platform for people to book test drives, buy and sell cars, and request brochures, among other services. However, they were unable to predict which of their users were likely to change their vehicle, or even know who had changed their vehicle until after it had happened. This lack of predictive capability was a significant barrier to increasing their call center revenues.
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Industrial data platformThe ConnectedThinks Industrial data platform is capable of connecting to multiple industrial data sources, correlating and transforming the data into useful insights, and helping improve the efficiency of your industrial business.Edge ConnectorsThe edge-connectors suite is a middleware deployable on ARM or X86-based Industrial edge IoT gateways. It enables quick connection and rapid onboarding of various assets such as machinery, sensors, asset trackers, Bluetooth beacons, and IP Video streams as well as OT assets such as PLC, SCADA, CNC, and HMI – to name a few. It offers secure device management and remote connection. Data PlatformThe ConnectedThinks data platform is a modern technology stack, built-to-scale to ingest and process high-speed, high-density, and real-time industrial data. Its functionality could be split into 3 primary parts – the data-ingest, the data-transform-&-store, and the data-query part.The data-ingest part consists of a high-performant MQTT broker and a highly-scalable, multi-cluster Kafka messaging queue which together can ingest and process data at a very high speed.The data-transform-&-storage part is built on top of Kafka KSQLdb and Apache Spark with real-time data transformation and the ability to integrate real-time machine-learning predictions for Anomaly Detection and other Predictive Maintenance tasks. The platform offers out-of-the-box connectors to store data on almost any database, data warehouse, or even into S3-storage compatible Data Lakes with efficient storage formats like PARQUET and AVRO.The data-query part consists of multiple custom-built connectors to various SQL and pseudo-SQL databases and storages along with highly-scalable PRESTO (a.k.a prestodb)Together it forms a complete Industry 4.0 offering for data intelligence and integration. The entire offering is built with Microservices and dockerized to make it suitable for deployment on-prem, private-cloud, or Public Cloud like AWS, Azure, or Google. Data visualization & BIConnectedThinks platform offers a custom-built visualization engine, built from the ground up to serve the specific requirements of industrial operations which demand a combination of real-time diagnostic monitoring for high-speed data, a SCADA-like monitoring system with visual aids and historical data analytics with data ranging from a few weeks to couple years. It is built on top of front-end REACT-js libraries along with Authentication and fine-grain access Authorization to deliver a secure web portal that is accessible from any corner of the world. The platform is also pre-integrated with Apache Superset and offers embedded dashboards as well as quick drag-and-drop data exploration. The prestodb query engine ODBC connectors enable you to import and explore data from your existing BI solutions such as Tableau, Looker, PowerBI, etc,
