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Nectar Customer Experience (CX) Assurance Launched

Nectar Services Corp. now offers a complete approach to customer experience assurance testing and monitoring for contact center and IVR teams with the launch of Nectar Customer Experience (CX) Assurance.

CX Assurance builds on Nectar’s core products for platform, network and endpoint operations for UC with cloud-based CX testing built for enterprise-grade contact center and IVR operations. CX Assurance offers a complete suite of capabilities including auto-discovery, voice recognition and simulation, dynamic call automation and load testing to enable contact center DevOps teams to launch new platforms and configuration changes in less time and with more confidence.

“Nectar is increasingly applying our expertise in UC monitoring, diagnostics and reporting into the contact center, where customer experience testing is critical,” said Tom Tuttle, SVP, UC Strategy and Global Alliances at Nectar. “In many contact center environments, organizations have been forced to rely on complex and expensive legacy platforms to test their environments for potential customer experience issues in IVR and contact center routing. Nectar is excited to offer a new alternative for automated CX testing that offers both superior functionality and industry-leading cost efficiency.”

Contact center managers and DevOps teams are constantly challenged to balance the business demands for speed to market with the work required to protect performance metrics that measure customer satisfaction and brand image. Inbound traffic patterns associated with seasonal spikes or market-timed opportunities can challenge both capacity and routing configurations. Nectar CX Assurance is efficiently designed to save time with state-of-the-art auto-discovery and to provide testing at massive scale.

Beyond the advanced functional and regression testing features, Nectar CX Assurance also offers perpetual monitoring for ongoing or recurring synthetic testing of availability and configuration changes. Perpetual monitoring enables contact center management teams with alerting and historical reporting based on service availability, functionality and call quality factors that may impact CX metrics.

Nectar CX Assurance includes the following key features:

- Auto discovery provides automated reverse-engineering of calls flows, speeding up the ever-changing landscape of dynamic IVRs and enables more accurate and timelier customer experience monitoring of programmed flows without intervention.

- Real-time alerting enables staffers to be automatically notified via email and/or SMS text messaging when issues are identified.

- Voice automation attributes include powerful text-to-speech and speech recognition that, in combination with call recording, enable a high level of quality control and monitoring.

- Voice quality scoring uses advanced voice quality monitoring, identifying clicks and noises on the line, artifacts generated by packet loss, intermittent gaps in audio during playback and stutter/jitter due to packet loss.

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Nectar Customer Experience (CX) Assurance Launched

Nectar Services Corp. now offers a complete approach to customer experience assurance testing and monitoring for contact center and IVR teams with the launch of Nectar Customer Experience (CX) Assurance.

CX Assurance builds on Nectar’s core products for platform, network and endpoint operations for UC with cloud-based CX testing built for enterprise-grade contact center and IVR operations. CX Assurance offers a complete suite of capabilities including auto-discovery, voice recognition and simulation, dynamic call automation and load testing to enable contact center DevOps teams to launch new platforms and configuration changes in less time and with more confidence.

“Nectar is increasingly applying our expertise in UC monitoring, diagnostics and reporting into the contact center, where customer experience testing is critical,” said Tom Tuttle, SVP, UC Strategy and Global Alliances at Nectar. “In many contact center environments, organizations have been forced to rely on complex and expensive legacy platforms to test their environments for potential customer experience issues in IVR and contact center routing. Nectar is excited to offer a new alternative for automated CX testing that offers both superior functionality and industry-leading cost efficiency.”

Contact center managers and DevOps teams are constantly challenged to balance the business demands for speed to market with the work required to protect performance metrics that measure customer satisfaction and brand image. Inbound traffic patterns associated with seasonal spikes or market-timed opportunities can challenge both capacity and routing configurations. Nectar CX Assurance is efficiently designed to save time with state-of-the-art auto-discovery and to provide testing at massive scale.

Beyond the advanced functional and regression testing features, Nectar CX Assurance also offers perpetual monitoring for ongoing or recurring synthetic testing of availability and configuration changes. Perpetual monitoring enables contact center management teams with alerting and historical reporting based on service availability, functionality and call quality factors that may impact CX metrics.

Nectar CX Assurance includes the following key features:

- Auto discovery provides automated reverse-engineering of calls flows, speeding up the ever-changing landscape of dynamic IVRs and enables more accurate and timelier customer experience monitoring of programmed flows without intervention.

- Real-time alerting enables staffers to be automatically notified via email and/or SMS text messaging when issues are identified.

- Voice automation attributes include powerful text-to-speech and speech recognition that, in combination with call recording, enable a high level of quality control and monitoring.

- Voice quality scoring uses advanced voice quality monitoring, identifying clicks and noises on the line, artifacts generated by packet loss, intermittent gaps in audio during playback and stutter/jitter due to packet loss.

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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 ...