NetScout Systems joined the HIMSS Innovation Center in Cleveland, Ohio, as a new Industry-level Collaborator demonstrating its impact and value to health IT professionals. The first of its kind, this year-round facility fosters collaborative testing and demonstration of how state-of-the-art interoperable systems improve the quality and efficiency of care for patients and communities.
"As the market leader in service assurance to the healthcare marketplace, NetScout is extremely excited about this collaboration with HIMSS and the Global Center of Health Innovation," says Tom Raimondi Jr., VP, Enterprise Business Operations, NetScout Systems. "The HIMSS Innovation Center is the only location in the world where vendors can validate – with other industry vendors – how their health IT solutions simply and seamlessly integrate and operate with emerging technology; and we are thrilled to join a community where all visitors can experience interactive education about innovation, current health IT initiatives and the importance of health IT.”
“Leveraging the patented Adaptive Service Intelligence™ (ASI) technology and the advanced analytics of network traffic data provided by the nGeniusONE® Service Assurance solution, NetScout is helping healthcare organizations to manage, monitor and triage mission critical applications and services including Electronic Medical Records (EMR) and Picture Archiving and Communications services (PACs),” added Raimondi.
The HIMSS Innovation Center is a permanent exhibition of interoperability where healthcare providers, payers and consumers can demonstrate secure exchange of patient health information. As an Industry-level Collaborator, NetScout joins an elite team of innovators collaborating and facilitating health information exchange, working together to lead the advancement of health information management by optimizing the use of technology.
The NetScout mission is to ensure the delivery of exceptional services and is teamed with the highest caliber of healthcare IT professionals in the market. Visitors to the HIMSS Innovation Center can take part in an interactive learning experience where they can simulate clinical scenarios about how health information technologies can improve patient care.
“The HIMSS Innovation Center brings together industry organizations that understand and advance the value of health IT through their respective products and services. Now, as an Industry-level Collaborator, NetScout brings its network data analytics expertise to the HIMSS Innovation Center and the Technology Showcase to improve health with IT so that patients receive consistent, quality care,” said Joyce Sensmeier, MS, RN-BC, CPHIMS, FHIMSS, FAAN, VP, Informatics, HIMSS North America.
The HIMSS Innovation Center is a completely neutral environment, where all stakeholders converge. Healthcare vendors receive global visibility as their technologies collaborate to elevate the quality and efficiency of care for patients and their communities, and make care better, safer, more cost effective and accessible to all.
The HIMSS Innovation Center opened in October 2013 as part of the Global Center for Health Innovation. As the only physical and virtual, state-of-the-art, testing, exhibition and conference facility that displays the future of health and healthcare is adjacent to the Cleveland Convention Center, a premier location that attracts healthcare providers year-round.
The Latest
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 ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.