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BigPanda Updates Root Cause Change Feature with New GenAI Capabilities

BigPanda launched its updated Root Cause Change (RCC) feature with new GenAI capabilities to automate incident analysis – identifying root cause faster and with higher accuracy than humanly possible.

Organizations are grappling with a surge of incidents tied to frequent infrastructure/software changes, with 85% of issues originating from these shifts and traditional IT tools can't keep up. RCC will now leverage explainable AI/ML to correlate incident alerts with infrastructure change data and improve incident root cause identification, reducing response times by 50%. With BigPanda's updated RCC feature, you're able to:

Reveal change data linked to IT incidents in real-time: Correlate multi-source alerts with change data to identify the probable change that caused an incident.

Leverage multi-source change aggregation: Connect to all change feeds and tools (such as ServiceNow, JIRA, Jenkins and CloudTrail), and aggregate their data.

Utilize real-time IT Incident correlation: Correlates multi-source alerts with change data to identify incident-impacting changes across hybrid cloud environments.

Apply pragmatic, explainable AI: BigPanda's pragmatic AI provides explanations why suspected changes were linked with an incident in easy-to-understand language.

Collaborate with change tools and teams: If a potential change is matched, users can explain their choice and propose next steps, which will be communicated directly to the tool that initiated the modification.

Report analytics: A new integration with Unified Analytics enhances efficiency in measuring, improving, and operationalizing root cause change investigation across all applications and services.

Customers share their POV on working with BigPanda:

"With BigPanda, our IT noise is not only reduced, but we are able to identify root cause in real-time- who the responsible team is, who owns the service that's alerting, etc. which is significantly reducing our MTTR. One of the biggest drivers that we have right now is auto-remediation."
Priscilliano Flores, Staff Software Systems Engineer at Sony Interactive Entertainment

"Previously, we had upwards of 2,500 alerts in a day. With BigPanda we achieved a 94% reduction in alert noise, which allowed us to consolidate those 2,500 alerts into 150 actionable events."
Sanjay Chandra, CIO at TiVo

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BigPanda Updates Root Cause Change Feature with New GenAI Capabilities

BigPanda launched its updated Root Cause Change (RCC) feature with new GenAI capabilities to automate incident analysis – identifying root cause faster and with higher accuracy than humanly possible.

Organizations are grappling with a surge of incidents tied to frequent infrastructure/software changes, with 85% of issues originating from these shifts and traditional IT tools can't keep up. RCC will now leverage explainable AI/ML to correlate incident alerts with infrastructure change data and improve incident root cause identification, reducing response times by 50%. With BigPanda's updated RCC feature, you're able to:

Reveal change data linked to IT incidents in real-time: Correlate multi-source alerts with change data to identify the probable change that caused an incident.

Leverage multi-source change aggregation: Connect to all change feeds and tools (such as ServiceNow, JIRA, Jenkins and CloudTrail), and aggregate their data.

Utilize real-time IT Incident correlation: Correlates multi-source alerts with change data to identify incident-impacting changes across hybrid cloud environments.

Apply pragmatic, explainable AI: BigPanda's pragmatic AI provides explanations why suspected changes were linked with an incident in easy-to-understand language.

Collaborate with change tools and teams: If a potential change is matched, users can explain their choice and propose next steps, which will be communicated directly to the tool that initiated the modification.

Report analytics: A new integration with Unified Analytics enhances efficiency in measuring, improving, and operationalizing root cause change investigation across all applications and services.

Customers share their POV on working with BigPanda:

"With BigPanda, our IT noise is not only reduced, but we are able to identify root cause in real-time- who the responsible team is, who owns the service that's alerting, etc. which is significantly reducing our MTTR. One of the biggest drivers that we have right now is auto-remediation."
Priscilliano Flores, Staff Software Systems Engineer at Sony Interactive Entertainment

"Previously, we had upwards of 2,500 alerts in a day. With BigPanda we achieved a 94% reduction in alert noise, which allowed us to consolidate those 2,500 alerts into 150 actionable events."
Sanjay Chandra, CIO at TiVo

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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...