Tieto
Unwrap the Opportunities Offered by the Industrial Internet.
Overview
HQ Location
Finland
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Year Founded
1968
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Company Type
Public
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Revenue
$1-10b
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Employees
1,001 - 10,000
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Website
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Stock Ticker
HEL: TIETO
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Twitter Handle
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Company Description
Tieto is a Finland-based company engaged in the provision of information technology services along four service lines: Industry solutions, Enterprise Solutions, Managed Services and Transformation, and Product Engineering Solutions. The company offers solutions for telecom network equipment and platform providers, mobile device and consumer electronics manufacturers, as well as semiconductor providers.
IoT Solutions
Today, more data is generated by machines than by people. As the number of connected user devices has increased radically, the need for connectivity to a multitude of services brings forth endless opportunities for all industries. Whatever can be connected, will be connected and our open source Industrial Internet platform can be the enabler you need in order to renew your business and to sense, think, and act digitally.
Tieto I&I Connect takes care of the data and manages it for customers. It’s Tieto’s Industrial Internet gateway with Tieto’s software running on it. It controls remote devices, analyses the information received, and enables services that are embedded in a device.
Tieto I&I Connect takes care of the data and manages it for customers. It’s Tieto’s Industrial Internet gateway with Tieto’s software running on it. It controls remote devices, analyses the information received, and enables services that are embedded in a device.
Key Customers
ABB, Saab, Sanoma, Telenor
IoT Snapshot
Tieto is a provider of Industrial IoT cloud planning, design and implementation services, and data science services services, and also active in the automotive, equipment and machinery, healthcare and hospitals, and telecommunications industries.
Technology Stack
Tieto’s Technology Stack maps Tieto’s participation in the IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
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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