UNISYS CORP

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. 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 markets in which we operate are broad and rapidly evolving, encompassing a wide range of technologies, services and solutions aimed at helping organizations leverage technology to 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 markets we serve and the secular trends shaping market demand. Some examples of those trends are as follows:

Future of Work

Hybrid work has become the new standard of working. However, organizations are challenged by the constantly evolving workforce dynamics and finding the right balance between flexibility, collaboration, corporate culture, employee morale, productivity and financial results. Organizations are urgently looking to technology solutions to help them facilitate a work-from-anywhere environment where collaboration, culture and productivity are not sacrificed.

Multi-Cloud

Organizations are migrating workloads to the cloud to seek flexibility in their deployments. This flexibility enables organizations to modernize incrementally and strike the most appropriate balance between resiliency, cost, scalability and security for their unique data and applications. Designing, maintaining and modernizing hybrid infrastructures require deep expertise in traditional IT infrastructure (e.g., data centers, servers and networking hardware).

Government and Enterprise Digitization

Citizens and businesses are beginning to 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 better share information across agencies and localities. Governments are prioritizing digital transformation and strategies for evaluating and measuring their IT investments. Similarly, customers, employees, suppliers and alliance partners expect a digital experience when interacting with enterprises. Enterprise IT organizations must evaluate myriad technologies, software platforms and tools to manage and optimize their technology infrastructure and environments that support mission-critical workloads to meet these expectations while maintaining business continuity.

Data and AI

The growing use of digital platforms, connected devices and enterprise digitization generates vast amounts of structured and unstructured data, often from disparate sources or stored within disconnected environments. Collecting, cleaning, structuring and governing disparate data has become critical to maximizing the value of an organization’s data while meeting complex compliance and regulatory standards. As a result, data engineering, data infrastructure and next-generation computing capabilities have become progressively more important. Predictive analytics is increasingly utilized for forecasting trends, optimizing supply chain management, enhancing user experience and productivity, and minimizing risk. AI and machine learning play pivotal roles in enabling companies to derive meaningful insights from large datasets and make informed decisions, which recent advancements in generative AI have augmented.

A key application of AI is automation, with organizations deploying AI to streamline or eliminate repetitive tasks, enhance productivity and reduce operational costs. Customer and employee experience is being transformed through generative AI-powered chatbots and virtual assistants, providing personalized and responsive interactions. Research and development costs and development timelines are being reduced through code generation technologies leveraging large language models. In marketing, AI and generative AI enable targeted campaigns, personalized recommendations and customer segmentation, leading to more effective and data-driven strategies. Overall, integrating AI and generative AI into business processes enhances decision-making, operational agility and customer service, contributing 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 rapidly and at scale, across disparate environments. This involves complex orchestration across storage and encryption, data integration and extraction, and data execution. To effectively execute advanced analytics and AI at scale, organizations must develop diverse, advanced computing capabilities such as quantum, edge and serverless computing to support workloads across these layers. They must also move quickly to deploy new techniques, such as post-quantum encryption, to protect data being processed across environments. Clients are also transitioning to data-driven application layers that are industry-specific and optimized to achieve relevant business outcomes. Effective leveraging of next-generation computing capabilities to unlock powerful business insights rapidly, efficiently and securely requires combining data, computing and industry expertise.