Objectivity
概述
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总部
美国
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成立年份
1988
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公司类型
私营公司
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收入
< $10m
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员工人数
51 - 200
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网站
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推特句柄
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公司介绍
Objectivity, Inc. 提供可大规模扩展和高性能的图形分析平台，这些平台已被证明可以为要求最苛刻和最复杂的数据集的关键任务应用程序提供动力。凭借为全球 1000 家客户和合作伙伴提供服务的丰富历史，Objectivity 在融合来自大量数据和来源的重要信息以快速、大规模地发现未知连接方面拥有深厚的领域专业知识。
物联网应用简介
Objectivity 是基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 功能应用, 和 传感器等工业物联网科技方面的供应商。同时致力于设备与机械, 和 金融与保险等行业。
技术栈
Objectivity的技术栈描绘了Objectivity在基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 功能应用, 和 传感器等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.
Case Study
Siemens Industry: Manufacturing, Process Control & Automation
Building control systems have traditionally managed heating, ventilation and air conditioning (HVAC) separately from other systems. Siemens Industry, Inc., envisioned a greater sophistication: Why not build a control system that would co-ordinate all these variables, as well as monitor building humidity, fire alarms, door locks, security, lighting and other building features, all while collecting historical data and storing network configuration information?
Case Study
Evaluating Snowflake's Data Warehouse Solution for EFL S.A.
EFL S.A., a leading leasing company in Poland, was looking to upgrade their data warehouse system, a crucial component of their operations. The company was considering a full migration to Snowflake, an innovative data warehouse solution. EFL's data warehouse is large and complex, with multiple departments requiring access to different parts of it. The company wanted to verify the effectiveness of Snowflake's tools in managing this complexity. They also wanted to assess whether Snowflake could meet their needs in terms of functionality, performance, and cost-efficiency. It was important for EFL to get an independent expert opinion and not rely solely on the data and materials provided by the vendor. They chose Objectivity for this task, due to their successful past collaborations.
Case Study
Revamping a Multi-Site Paint Mixing System for Enhanced Efficiency and User Experience
The client, a global paint manufacturer with multiple production sites across continents, relied on a single system for mixing and labelling produced paint. Any significant malfunction or downtime of this application would halt production, leading to financial losses. The client was using a bespoke application delivered by a third-party vendor, which required multiple manual steps to launch, such as selecting the correct databases. The client sought to automate this process and reduce the solution’s technical debt, which was slowing down paint production. Additionally, the existing desktop app had compatibility issues with the new version of the Microsoft operating system. The client needed a reliable partner to provide baseline support and continuous improvements to this business-critical system.
Case Study
Enterprise Architecture Audit for Sustainable Energy Company Tonik Energy
Tonik Energy, a UK-based renewable energy company, was facing a challenge with its enterprise architecture. The company had ambitious growth plans and needed an environment that was simple, easily expandable, clearly understood, maintainable, and supportable. However, the existing architecture was largely cloud-based, using modern development frameworks and technologies, but there were significant gaps in knowledge and documentation. There was also a lack of consistency in the service delivery and change management processes. The architecture owner urgently needed to understand whether the existing enterprise architecture was fit for purpose, both in the short term and for the longer term.
Case Study
Digital Transformation of Paper-Based Processes for a Major European Airline
The client, a major European airline, was grappling with a cumbersome document verification process. Their ground handling office was processing over 10,000 invoices a month, delivered by nearly 600 independent companies and contractors. These invoices came in different formats and languages, making the process time-consuming and requiring the involvement of multiple people and teams. This not only delayed data analysis and subsequent actions but also made the entire process prone to errors. The client sought to optimize this process and engaged Objectivity to develop a solution for automated verification of documents and easier error detection. The team was tasked with building a Proof of Concept (PoC) using Microsoft’s technology stack to validate documents from different sources and formats.
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Neo4j is the graph company behind the #1 platform for connected data. The Neo4j graph platform helps organizations make sense of their data by revealing how people, processes and digital systems are interrelated. This connections-first approach powers intelligent applications tackling challenges such as Artificial Intelligence, fraud detection, real-time recommendations and master data. The company boasts the world's largest dedicated investment in native graph technology, has amassed more than ten million downloads, and has a huge developer community deploying graph applications around the globe. More than 250 commercial customers, including global enterprises like Walmart, Comcast, Cisco, eBay and UBS use Neo4j to create a competitive advantage from connections in their data. Neo4j is privately held and funded by Eight Roads Ventures (an investment arm of Fidelity International Limited), Sunstone Capital, Conor Venture Partners, Creandum, Dawn Capital and Greenbridge Investment Partners. Headquartered in San Mateo, Calif., Neo4j has regional offices in Sweden, Germany and the UK. For more information, please visit Neo4j.com and @Neo4j. All trademarks and registered trademarks, including Neo4j? are the property of their respective owners.
