Tieto
揭开工业互联网带来的机遇。
概述
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总部
芬兰
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成立年份
1968
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公司类型
上市公司
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收入
$1-10b
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员工人数
1,001 - 10,000
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网站
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股票行情
HEL: TIETO
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推特句柄
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公司介绍
Tieto 是一家总部位于芬兰的公司，从事提供信息技术服务的四大服务线：行业解决方案、企业解决方案、托管服务和转型以及产品工程解决方案。该公司为电信网络设备和平台供应商、移动设备和消费电子制造商以及半导体供应商提供解决方案。
物联网解决方案
主要客户
ABB、萨博、萨诺玛、挪威电信
物联网应用简介
Tieto 是 云规划/设计/实施服务, 和 数据科学服务等工业物联网服务方面的供应商。同时致力于汽车, 设备与机械, 医疗保健和医院, 和 电信等行业。
技术栈
Tieto的技术栈描绘了Tieto在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
Fast Track for 5G Transformation via Open Radio Access Networks
A global Network Equipment Provider (NEP) was facing a challenge in improving the efficiency of software development and maintenance of Radio Unit products. The transformation to 5G and the increasing device connectivity introduced new 5G radio frequency bands, antenna types, and varying physical radio unit packages. This led to an increase in the number of required Radio Unit products. The NEP wanted to ensure a faster time-to-market and efficient software maintenance for the Radio Unit portfolio.
Case Study
Wienerberger/Pipelife's Digital Transformation: Enhancing Performance through Modern Data Management
Wienerberger and Pipelife, with over 200 production sites and more than 1000 different production lines and machines, faced the challenge of managing a vast amount of valuable production data. The companies supply a wide range of products within the building materials and construction industry, and their numerous production lines led to a variety of machines and process control systems. The challenge was to centrally collect and provide this local data to ensure an optimized production process. They needed an economical, industry-standard, and scalable solution to manage this data effectively.
Case Study
Cloud ERP Transformation: Streamlining Business Processes at PMC Hydraulics Group
PMC Hydraulics Group was faced with the challenge of updating its outdated Microsoft Dynamics AX R2 environment, which was nearing the end of its lifecycle. The situation was further complicated by Microsoft's decision to end updates for on-premises AX R2 Dynamics solutions by October 2021. PMC Hydraulics Group also needed to harmonize its numerous business-critical processes and unify its operation model across its operating countries. The company was seeking a more efficient and cost-effective ERP solution that would allow for future-proof development, support, and simplified maintenance.
Case Study
Vapo Group: Rapid Deployment of Cloud-based ERP Solution for New Business
In 2020, Vapo Group, an international conglomerate, launched Novactor, a new activated carbon business. The challenge was to find a scalable and affordable cloud enterprise resource planning (ERP) solution that would meet the needs of this new business area. They also wanted to use this process as a pilot for cloud-based ERP transformation across all of Vapo Group. The solution needed to be implemented within a short time frame to support the launch of the new business and the opening of its first activated carbon factory in Finland in late 2020.
Case Study
Automotive Software Updates Over-The-Air for Next-Gen Electric Vehicles
A German manufacturer of commercial electric cars was faced with the challenge of ensuring that critical automotive software updates are delivered in a timely and secure manner using over-the-air (OTA) updates. The importance of prompt delivery of these updates was paramount, even in situations where Wi-Fi was not available. Given that a large fleet of these vehicles is often located in urban areas, there was a need for a solution that would not overload cellular networks. The manufacturer also needed to ensure that the software update installation would not fail under any conditions, as there was no personnel available to fix it.
Case Study
AI Revolutionizes Diagnostics of Rare Diseases: A Case Study on Helsinki University Hospital
Helsinki University Hospital (HUS) and Tietoevry were faced with the challenge of building a certified trusted Research Environment that is compliant with the EU General Data Protection Regulation (GDPR) and the Findata legislation on the secondary use of national social and health data. The goal was to accelerate medical research with a modern, high-security digital environment with the latest analytics capabilities. The challenge was particularly significant in the context of diagnosing and treating rare diseases, which are often difficult to diagnose due to their rarity and the extensive research data required. The cost for the public healthcare sector can be as much as 40 times greater before the diagnosis is found, making the need for a more efficient diagnostic process crucial.
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