Software AG announced an extended partnership with Dell Technologies in which the company will bundle Software AG’s Cumulocity IoT Edge with a selection of Dell’s servers.
This will provide a joint plug-and-play solution for rapid deployment and simple configuration for instant IoT. Cumulocity IoT Edge, powered by Dell Technologies, is a high-performance industry-proof bundle, combining hardware, software and services for the IoT which enables customers to connect, power up and start their IoT project immediately. Customers can connect any number of different end devices and sensors in just a few minutes. With features like integrated streaming analytics, preconfigured smart rules and field bus connectivity, it helps to create complex IoT solutions quickly and smoothly.
The bundle consists of Dell EMC’s innovative hardware, which secures and transfers data from sensors and production facilities, and Software AG’s Cumulocity IoT Edge, creating a user-friendly software appliance. It is placed at the edge of a network with connectivity to local IoT devices. The appliance prepares, filters and aggregates data before sending it onto enterprise applications or the cloud for further processing. It includes time-saving, industry-specific software solution modules, e.g., for mechanical engineering, manufacturing and/or logistics.
Cumulocity IoT Edge is a single-server version of the market-leading Cumulocity IoT platform with extensions and modifications that enable customers to do on-site integration of business apps, generate dashboards for operators, and control end devices locally and from the cloud. It provides a secure, reliable and scalable software platform for asset condition monitoring at the edge that can connect to the cloud, if required (a cloud connection provides enhanced ability and centralized analysis). Using the embedded Apama Streaming Analytics engine, high-speed streams of data from industrial machinery and digital industrial processes can be processed, which is the foundation for easy development of predictive-maintenance solutions. The uniform software architecture simplifies development and adaptation of Cumulocity IoT Edge to address specific on-site requirements.
Sanjay Brahmawar, CEO of Software AG, said: “We listened to our customers when they said they wanted an easy on-ramp to IoT, already preconfigured and performance-tested. Along with Dell, we are freeing them up from development to focus on innovation and to create a differentiating digital business model.”
Dermot O’Connell, VP and GM of Dell OEM in EMEA, said: “The manufacturing industry plays a huge role in our economy and very often leads the way in the adoption of emerging technologies. With the release of its digital manufacturing intelligence suite, Cumulocity IoT Edge, Software AG can now offer the industry a complete solution that integrates, connects, and manages IoT devices, and analyses data in real-time to optimize business processes and intelligence. Powered by our rugged and innovative hardware, the joint plug-and-play solution is capable of connecting millions of devices rapidly, whether it is via Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), or on-premises. Our OEM division helps partners and customers turn ideas into market-ready solutions quickly and cost effectively – without sacrificing on expectations. Visionaries like Software AG are helping manufacturers recognize the power of IoT and edge computing, and the significant business benefits these technologies can help them achieve now and in the future.”
Chris Wolff, Head of Global OEM & IoT Partnerships, Dell Technologies added: “Our recently launched IoT Connected Bundles is part of our mission to simplify edge computing and IoT deployment, enabling customers around the world – no matter what industry – to build an open foundation that can scale to meet the demand of a digitally advancing world. Cumulocity IoT Edge is a purpose-built, telco-grade secure IoT platform that is based on distributed architecture; enabling Software AG customers to recognize value from the Industrial Internet of Things (IIoT) safely and quickly, as well as stay ahead of the competition.”
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...