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BigPanda Partners with ServiceNow

BigPanda announced a new partnership with ServiceNow as an elite Build Partner, the highest level of partnership within the ServiceNow Partner Ecosystem. 

As part of this collaboration, BigPanda has developed a certified ServiceNow application that transforms high-volume alert streams into actionable, context-rich incidents directly within ServiceNow.

Together, BigPanda and ServiceNow consolidate thousands of alerts into a single actionable incident and preventing duplicate and redundant tickets before they are created. Incidents are automatically created in ServiceNow IT Service Management (ITSM) and enriched with critical context, including topology, probable root cause, and data available natively in ServiceNow Discovery and Configuration Management Database (CMDB).

Across customers, enterprises using BigPanda and ServiceNow together have reported up to 99% reduction in alert noise, more than 50% fewer incident tickets, and 30–50% faster mean time to resolution (MTTR), delivering significant operational savings and improved service reliability.

BigPanda integrates directly with ITSM investments and works within existing monitoring infrastructures. This enables enterprises to quickly realize value while improving signal quality and streamlining incident workflows without disrupting existing processes, regardless of their ITOM maturity.

“Enterprises have made ServiceNow the system of record for IT operations, but many still struggle to operationalize the massive volume of signals flowing into it,” said Tom Melzl, Chief Revenue Officer at BigPanda. “This partnership is about helping customers get more from the ServiceNow investments. Whether an organization is early in its ITOM journey or operating a mature NOC, they can start seeing improvements in MTTR within weeks without needing to re-architect their existing environment.”

“Successful partnerships are built on a shared vision and a joint commitment to solving real business challenges,” said Alix Douglas, Group Vice President, Partner Solutions at ServiceNow. “BigPanda’s certified application for ServiceNow gives customers powerful new ways to cut through alert noise, accelerate incident resolution, and get more value from their ServiceNow investments. This collaboration is only the beginning of empowering IT organizations to operate faster and more reliably in today’s dynamic business environment.”

BigPanda’s certified application is available on the ServiceNow Store. 

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BigPanda Partners with ServiceNow

BigPanda announced a new partnership with ServiceNow as an elite Build Partner, the highest level of partnership within the ServiceNow Partner Ecosystem. 

As part of this collaboration, BigPanda has developed a certified ServiceNow application that transforms high-volume alert streams into actionable, context-rich incidents directly within ServiceNow.

Together, BigPanda and ServiceNow consolidate thousands of alerts into a single actionable incident and preventing duplicate and redundant tickets before they are created. Incidents are automatically created in ServiceNow IT Service Management (ITSM) and enriched with critical context, including topology, probable root cause, and data available natively in ServiceNow Discovery and Configuration Management Database (CMDB).

Across customers, enterprises using BigPanda and ServiceNow together have reported up to 99% reduction in alert noise, more than 50% fewer incident tickets, and 30–50% faster mean time to resolution (MTTR), delivering significant operational savings and improved service reliability.

BigPanda integrates directly with ITSM investments and works within existing monitoring infrastructures. This enables enterprises to quickly realize value while improving signal quality and streamlining incident workflows without disrupting existing processes, regardless of their ITOM maturity.

“Enterprises have made ServiceNow the system of record for IT operations, but many still struggle to operationalize the massive volume of signals flowing into it,” said Tom Melzl, Chief Revenue Officer at BigPanda. “This partnership is about helping customers get more from the ServiceNow investments. Whether an organization is early in its ITOM journey or operating a mature NOC, they can start seeing improvements in MTTR within weeks without needing to re-architect their existing environment.”

“Successful partnerships are built on a shared vision and a joint commitment to solving real business challenges,” said Alix Douglas, Group Vice President, Partner Solutions at ServiceNow. “BigPanda’s certified application for ServiceNow gives customers powerful new ways to cut through alert noise, accelerate incident resolution, and get more value from their ServiceNow investments. This collaboration is only the beginning of empowering IT organizations to operate faster and more reliably in today’s dynamic business environment.”

BigPanda’s certified application is available on the ServiceNow Store. 

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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 ...

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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.