UNISYS CORP
For the period ended Dec 31, 2024. Filed Feb 21, 2025.
View on SEC.govAbout this filing
A company's yearly report to the SEC, with audited financial statements. It is the fullest account a company gives of its business, its finances and the risks it sees.
FY2024 · Filed Feb 21, 2025
Contents
Item 1. BUSINESS
General
Unisys Corporation, a Delaware corporation (Unisys, we, our, or the company), is a global information technology (IT) solutions company that powers breakthroughs for the world’s leading organizations. We transform and manage mission-critical IT systems, software, applications and devices that power enterprises, financial institutions and public sector organizations around the world. Our clients rely on us to help solve many of their toughest business and technology challenges in highly complex, regulated and heterogeneous environments. Our solutions and services are provided through global delivery capabilities, which allows us to execute large-scale, rapid technology migration and modernization projects. From our origins dating back to 1873 through the formation of Unisys in 1986, we have built a legacy of innovation and a reputation of trust.
In recent decades, enterprise and government interactions with customers, suppliers, employees and citizens have shifted increasingly to digital channels. Cloud computing, artificial intelligence (AI), machine learning and quantum computing have pushed the required pace of innovation and led to a proliferation of data. At the same time, organizations face rising costs and complexity of managing IT infrastructure, data, security and compliance while integrating new technologies. We have a long track record of helping clients navigate technological change and architecting innovative solutions that simplify and accelerate digital transformation.
Our Market
The market in which we operate is broad and rapidly evolving, encompassing a wide range of technologies, services and solutions aimed at helping organizations improve their operations and achieve their business objectives. Organizations across the globe are harnessing technology to reimagine their business models and create competitive advantages. In addition to technical proficiency, our clients look to us for industry-specific expertise to help maximize the impact of their technology investments.
We believe our portfolio of solutions is aligned with the secular trends shaping demand in the areas of the market we serve.
Increasing Stakes of the IT Estate
Organizations are becoming increasingly reliant on the IT estate to achieve critical business and organizational outcomes. A well-built IT estate can prevent or minimize interruption and security vulnerabilities that can lead to catastrophic operational, competitive or reputational impact on organizations. At the same time, the accelerating pace of innovation has necessitated perpetual evolution throughout the technology stack at an increased pace while complex factors, like increased regulation, technical debt and skill gaps, become more pronounced. In this context, outsourcing to IT service providers is of increasing strategic importance, allowing clients to focus on their core businesses while leveraging external expertise to innovate, build, manage and optimize their IT estate both efficiently and effectively.
Multi-Cloud
Enterprises are increasingly adopting a multi-cloud strategy often leveraging a combination of public, private and SaaS clouds based on business and security needs, type of applications and cost considerations. Multi-cloud offers speed, flexibility and new technology adoption but introduces governance, workforce, financial and operational complexities. Navigating these challenges requires strong cloud governance, upskilled talent and dynamic cost controls. As artificial intelligence and digital initiatives continue to advance, businesses must focus on enabling rapid adoption of multi-cloud as a foundation to achieve these goals. Doing so requires deep expertise to manage and operate at scale, including expertise in more traditional IT infrastructure (e.g., data centers, servers and networking hardware).
Government and Enterprise Digitization
Citizens increasingly expect a digital experience when engaging government services such as voter registration, tax filing and application processes for licenses, permits, visas or passports. Governments and law enforcement agencies are also seeking to automate processes, leverage data to make better decisions and improve transparency and data sharing. Similarly, customers, employees, suppliers and partners expect a digital experience when interacting with enterprises. Enterprise IT organizations must evaluate a myriad of technologies, software platforms and tools to manage and optimize their technology infrastructure and multi-cloud environments that support mission-critical workloads to meet these expectations.
Proliferation of Data
Data has always been a critical enabler of informed decision-making for enterprises. Today, vast amounts of data are being transferred and processed to generate actionable insights, often from disparate sources or stored within disparate environments. The explosive growth in data volume and variety, coupled with the compliance and regulatory environment and ethical and privacy standards, are driving enterprises to set up or modernize their data ecosystems. As a result, advanced paradigms for data engineering, data infrastructure, data lakes and data products combined with streaming and batch data capabilities are being used. Predictive analytics and traditional AI enable better informed decision-making and generative AI leverages previously unwieldy unstructured and semi-structured data, forcing complex enterprises to enhance their data strategies.
Artificial Intelligence
AI and automation continue to be interwoven to drive value. Organizations are leveraging AI to automate IT operations spanning security, development and networking to continually monitor, identify and proactively respond to performance issues. Organizations are also using AI to automate repetitive tasks, facilitate enterprise access to knowledge and reduce operational costs. Customer and employee experience is being transformed through generative AI agents and chatbots, providing personalized and responsive interactions. Research and development costs and development timelines are being reduced through code generation technologies leveraging Large Language Models (LLMs). In marketing, for example, AI and generative AI enable targeted campaigns, personalized recommendations and customer segmentation, leading to more effective and data-driven strategies. Overall, integrating AI and embedding LLMs into business processes enhance decision-making, operational agility and customer service, which we believe contribute to a competitive advantage in the modern business landscape.
Advanced Computing
Maximizing the value of data requires organizations to process their structured and unstructured data and embedded LLMs rapidly and at scale, across disparate environments. This involves complex orchestration of data, computing and security across multi-cloud environments. To effectively execute advanced analytics and AI at scale, organizations must develop diverse, advanced computing capabilities such as quantum, high-performance computing and hybrid compute architectures to support workloads across these layers. They must also move quickly to transition to industry-specific, data-driven application layers and deploy new techniques, such as post-quantum encryption, to protect access to data. Application layer modernization, increasing security threats and AI adoption are also spurring demand for computing capacity, reliable power and specialized expertise in configuring, cooling and maintaining the infrastructure supporting advanced computing workloads.
The text of this filing, as the company filed it with the SEC, without its images or exhibits. This is not investment advice.