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Aruba ESP Unifies IoT, IT, and OT Networks

Aruba, a Hewlett Packard Enterprise company, announced significant enhancements to Aruba ESP (Edge Services Platform) that unifies IoT, IT, and Operational Technology (OT) networks to enable customers to quickly adapt to changing environments and user requirements.

Aruba ESP is a fully programmable platform to generate contextual information – about identity, location, security posture, and applications in use – to power efficient decision making and AIOps. Built to integrate with devices and applications from Aruba’s technology partners, customers can now become hyper-aware of their operating environment so they can quickly adapt to evolving business, visitor, and employee demands.

Today, “connected facilities” only provide device connectivity for subsets of control services, whereas hyper-aware facilities can leverage Aruba ESP-generated contextual data to dynamically adapt a facility to its occupants and operating environment. Unifying these IoT, IT, and OT networks under the Aruba ESP platform, and capturing rich context, enables hyper-aware facilities that are safer, more adaptive, and enhance productivity. That represents a quantum leap forward over what can be achieved by basic connectivity and machine learning-based monitoring.

These enhancements to the Aruba ESP cloud-native, AI-powered platform are integral to sensing, analyzing, and reacting to device data and contextual information. Aruba access points and switches now serve as multi-protocol IoT/OT platforms that interface with Aruba’s expanded technology partner ecosystem. Virtually every subsystem spanning machine inputs and outputs (I/O) on a manufacturing floor through multimedia devices in the CEO suite can be accommodated – from social distance monitors to gunshot detectors, rotating equipment monitors to guest wayfinding – with solutions tailored for education, enterprise, healthcare, hospitality, industrial, manufacturing, retail, transportation, and government applications.

Use cases with Aruba ESP-based hyper-awareness include smart buildings, industrial/manufacturing facilities, and the broader Intelligent Edge:

- Building Control and Digital Twin enablement – Using native AI capabilities to create real-time simulation models that change and learn in lock-step with the building, Aruba and technology partners like Microsoft with its Microsoft Azure IoT platform can create digital twins or software models to identify sub-optimized processes, recommend operational enhancements, and monitor the trajectory of energy usage needed for proactive interventions.

- Context-aware, Real-time Integrated Emergency Response and Notification – During an incident, building occupants need real-time safety information pushed to their mobile devices and first responders need to continuously communicate with those in possible danger. Aruba ESP, with integrated solutions from technology partners like Critical Arc and Patrocinium, can actively communicate with tenants, visitors, and staff, and use unique 4D graphics for first responders to quickly see where people are situated within buildings.

- Seamless Extension of the 5G Footprint with Wi-Fi – Aruba ESP allows mobile operators to extend their 5G footprint into the building and seamlessly power Wi-Fi calling while delivering gigabit-class guaranteed performance using Aruba Air Slice technology. This provides a seamless user experience and non-stop connectivity without the need for costly and complex distributed antenna systems.

Hyper-Aware Industrial Facilities:

- Migrating from Break/Fix to Proactive Maintenance – Proactively addressing maintenance issues minimizes downtime, and maximizes the utilization and performance of assets, reducing maintenance costs by up to 40%. Through deep integration with technology partner devices like ABB’s Ability Smart Sensor, Aruba ESP enables machinery sensors to monitor equipment like motor drives, valves, and pumps for abnormal behavior, to identify points of failure before they happen, improving productivity, reliability, and efficiency.

- Reducing Mean Time to Repair with Location Services – Navigating large industrial sites can be challenging, resulting in inefficiencies and safety issues. Native innovations from Aruba Meridian and Aruba ESP provides site occupants with turn-by-turn navigation to their destination without human assistance.

- Monitoring Personnel and Asset Safety – For environments with potentially explosive conditions, location-based safety systems are often mandated to safeguard employees and visitors. Aruba ESP, together with technology partner Mobilaris, can deliver real-time 3D situational awareness by tracking the location of people and assets, and can integrate with automated ventilation, geofencing, and vehicular navigation systems.

To enable the automation needed to deliver these use cases at scale, Aruba AIOps uses AI and big data to continuously optimize, detect, isolate, and remediate network issues that impact reliability. As sources of IoT, IT, and OT data expand, it becomes increasingly difficult to isolate the source of problems or optimize the infrastructure. Aruba’s Cloud AI already combines telemetry data from over 65,000 customers and one million network devices, supplemented with 18 years of domain expertise to inform supervised learning. Aruba ESP produces AI-powered insights with greater than 95% accuracy to automatically improve communications and visibility across and among IoT, IT, and OT networks. Embedded within Aruba ESP’s unified infrastructure and zero trust security framework allows Aruba AIOps to transcend basic connectivity and simplistic machine learning-based monitoring. Aruba AIOps is a game changer for improved uptime and shortened repair times.

In addition to Unified Infrastructure and AIOps, ESP generates contextual data that make networks situationally aware for enterprise security. The Zero Trust Security framework ensures no user or IoT device is granted entry or ongoing access unless trustworthy. This framework uses AI and exchanges security and policy with more than 130 security technology vendors to obtain a deep understanding of each device and its role, allowing hyper-aware facilities to fold security activities into situational awareness.

“Machines, applications, and interfaces are typically tailored to each IoT, IT and OT vertical application, driving complexity in network management,” said Will Townsend, Senior Analyst, Moor Insights & Strategy. “I have analyzed Aruba ESP and believe its architectural platform based on a unified infrastructure, zero-trust security, and AIOps has the potential to reduce complexity and accelerate smart facility and hyper-awareness use cases both on-prem and in the cloud."

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Aruba ESP Unifies IoT, IT, and OT Networks

Aruba, a Hewlett Packard Enterprise company, announced significant enhancements to Aruba ESP (Edge Services Platform) that unifies IoT, IT, and Operational Technology (OT) networks to enable customers to quickly adapt to changing environments and user requirements.

Aruba ESP is a fully programmable platform to generate contextual information – about identity, location, security posture, and applications in use – to power efficient decision making and AIOps. Built to integrate with devices and applications from Aruba’s technology partners, customers can now become hyper-aware of their operating environment so they can quickly adapt to evolving business, visitor, and employee demands.

Today, “connected facilities” only provide device connectivity for subsets of control services, whereas hyper-aware facilities can leverage Aruba ESP-generated contextual data to dynamically adapt a facility to its occupants and operating environment. Unifying these IoT, IT, and OT networks under the Aruba ESP platform, and capturing rich context, enables hyper-aware facilities that are safer, more adaptive, and enhance productivity. That represents a quantum leap forward over what can be achieved by basic connectivity and machine learning-based monitoring.

These enhancements to the Aruba ESP cloud-native, AI-powered platform are integral to sensing, analyzing, and reacting to device data and contextual information. Aruba access points and switches now serve as multi-protocol IoT/OT platforms that interface with Aruba’s expanded technology partner ecosystem. Virtually every subsystem spanning machine inputs and outputs (I/O) on a manufacturing floor through multimedia devices in the CEO suite can be accommodated – from social distance monitors to gunshot detectors, rotating equipment monitors to guest wayfinding – with solutions tailored for education, enterprise, healthcare, hospitality, industrial, manufacturing, retail, transportation, and government applications.

Use cases with Aruba ESP-based hyper-awareness include smart buildings, industrial/manufacturing facilities, and the broader Intelligent Edge:

- Building Control and Digital Twin enablement – Using native AI capabilities to create real-time simulation models that change and learn in lock-step with the building, Aruba and technology partners like Microsoft with its Microsoft Azure IoT platform can create digital twins or software models to identify sub-optimized processes, recommend operational enhancements, and monitor the trajectory of energy usage needed for proactive interventions.

- Context-aware, Real-time Integrated Emergency Response and Notification – During an incident, building occupants need real-time safety information pushed to their mobile devices and first responders need to continuously communicate with those in possible danger. Aruba ESP, with integrated solutions from technology partners like Critical Arc and Patrocinium, can actively communicate with tenants, visitors, and staff, and use unique 4D graphics for first responders to quickly see where people are situated within buildings.

- Seamless Extension of the 5G Footprint with Wi-Fi – Aruba ESP allows mobile operators to extend their 5G footprint into the building and seamlessly power Wi-Fi calling while delivering gigabit-class guaranteed performance using Aruba Air Slice technology. This provides a seamless user experience and non-stop connectivity without the need for costly and complex distributed antenna systems.

Hyper-Aware Industrial Facilities:

- Migrating from Break/Fix to Proactive Maintenance – Proactively addressing maintenance issues minimizes downtime, and maximizes the utilization and performance of assets, reducing maintenance costs by up to 40%. Through deep integration with technology partner devices like ABB’s Ability Smart Sensor, Aruba ESP enables machinery sensors to monitor equipment like motor drives, valves, and pumps for abnormal behavior, to identify points of failure before they happen, improving productivity, reliability, and efficiency.

- Reducing Mean Time to Repair with Location Services – Navigating large industrial sites can be challenging, resulting in inefficiencies and safety issues. Native innovations from Aruba Meridian and Aruba ESP provides site occupants with turn-by-turn navigation to their destination without human assistance.

- Monitoring Personnel and Asset Safety – For environments with potentially explosive conditions, location-based safety systems are often mandated to safeguard employees and visitors. Aruba ESP, together with technology partner Mobilaris, can deliver real-time 3D situational awareness by tracking the location of people and assets, and can integrate with automated ventilation, geofencing, and vehicular navigation systems.

To enable the automation needed to deliver these use cases at scale, Aruba AIOps uses AI and big data to continuously optimize, detect, isolate, and remediate network issues that impact reliability. As sources of IoT, IT, and OT data expand, it becomes increasingly difficult to isolate the source of problems or optimize the infrastructure. Aruba’s Cloud AI already combines telemetry data from over 65,000 customers and one million network devices, supplemented with 18 years of domain expertise to inform supervised learning. Aruba ESP produces AI-powered insights with greater than 95% accuracy to automatically improve communications and visibility across and among IoT, IT, and OT networks. Embedded within Aruba ESP’s unified infrastructure and zero trust security framework allows Aruba AIOps to transcend basic connectivity and simplistic machine learning-based monitoring. Aruba AIOps is a game changer for improved uptime and shortened repair times.

In addition to Unified Infrastructure and AIOps, ESP generates contextual data that make networks situationally aware for enterprise security. The Zero Trust Security framework ensures no user or IoT device is granted entry or ongoing access unless trustworthy. This framework uses AI and exchanges security and policy with more than 130 security technology vendors to obtain a deep understanding of each device and its role, allowing hyper-aware facilities to fold security activities into situational awareness.

“Machines, applications, and interfaces are typically tailored to each IoT, IT and OT vertical application, driving complexity in network management,” said Will Townsend, Senior Analyst, Moor Insights & Strategy. “I have analyzed Aruba ESP and believe its architectural platform based on a unified infrastructure, zero-trust security, and AIOps has the potential to reduce complexity and accelerate smart facility and hyper-awareness use cases both on-prem and in the cloud."

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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 ...