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Unisys Unveils New Mobility Solutions Suite

Unisys Corporation announced the availability of its Mobility Solutions Suite of services. These services are designed to help organizations manage, secure and support mobile devices such as smartphones and tablets – as well as their applications – and lead to improved employee productivity and customer service.

The Unisys Mobility Solutions set includes Unisys MyWork Services for Mobile Device Management. These services help organizations deploy and manage employee-owned and company-provided smartphones and tablets on enterprise networks.

Through these services, Unisys helps clients create and implement corporate governance policies for mobile devices; create procedures for securing corporate data such as remote device tracking, device locking and data wiping; establish an enterprise application store to manage corporate mobile apps; deliver break/fix field support services; and provide a service desk that gives mobile end users a single point of contact to quickly resolve service issues including remote device support.

The Unisys MDM offerings cover mobile platforms such as Apple iPhones and iPads, Google Android-based devices, BlackBerrys and Windows Mobile devices.

Unisys MyWork also includes End-User Experience Monitoring. Using predictive analytics tools, this service monitors application, device and network performance to proactively look for issues that affect end-user productivity. IT support teams can then rapidly identify the root cause of an impending service event – such as slow application response due to a smartphone’s sudden switch from a 4G to a 3G network – and fix the issue or alert the end user before they even notice.

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Unisys Unveils New Mobility Solutions Suite

Unisys Corporation announced the availability of its Mobility Solutions Suite of services. These services are designed to help organizations manage, secure and support mobile devices such as smartphones and tablets – as well as their applications – and lead to improved employee productivity and customer service.

The Unisys Mobility Solutions set includes Unisys MyWork Services for Mobile Device Management. These services help organizations deploy and manage employee-owned and company-provided smartphones and tablets on enterprise networks.

Through these services, Unisys helps clients create and implement corporate governance policies for mobile devices; create procedures for securing corporate data such as remote device tracking, device locking and data wiping; establish an enterprise application store to manage corporate mobile apps; deliver break/fix field support services; and provide a service desk that gives mobile end users a single point of contact to quickly resolve service issues including remote device support.

The Unisys MDM offerings cover mobile platforms such as Apple iPhones and iPads, Google Android-based devices, BlackBerrys and Windows Mobile devices.

Unisys MyWork also includes End-User Experience Monitoring. Using predictive analytics tools, this service monitors application, device and network performance to proactively look for issues that affect end-user productivity. IT support teams can then rapidly identify the root cause of an impending service event – such as slow application response due to a smartphone’s sudden switch from a 4G to a 3G network – and fix the issue or alert the end user before they even notice.

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...