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BigPanda Announces Generative AI for Automated Incident Analysis

BigPanda announced Generative AI for Automated Incident Analysis, a new capability that uses advanced AI to estimate incident impact, suggest likely root causes, and provide clear, natural language incident titles and summaries.

BigPanda’s Generative AI taps into large language model (LLM) technology to automatically and quickly deliver accurate and consistent incident analysis that is easy to understand, reduces mean time to identify (MTTI), and vastly improves incident resolution speed.

ITOps teams often struggle to quickly analyze incidents and determine their impact on the tech stack. Identifying the probable root cause is time- and resource-intensive, even when specialists are available. Further, critical insights and details hidden in lengthy and complex alerts often go unnoticed, causing downstream staff and systems to struggle when incident details are poorly communicated or described. BigPanda Generative AI eliminates these common pain points with clear and concise incident analysis that gives ITOps teams clear visibility so they can act quickly and reduce downtime.

“We were already the leader in intelligent IT Operations — AIOps — and the latest innovations in Generative AI have taken our platform to a new level,” said Assaf Resnick, CEO and co-founder of BigPanda. “Customers that have used early versions of our Generative AI report it helps accelerate incident triage while reducing the number of tickets escalated to senior staff. This results in not just saved resources, but makes their systems more reliable and helps drive their businesses forward.”

The Future of AIOps is Here Today

BigPanda’s Generative AI combines AI with correlated and enriched alerts to deliver an accurate interpretation — natural language summaries — of combined alerts across multiple systems. The correlated alerts’ summary, title, and root cause analysis can automatically be added to ITSM tickets or chat collaboration channels with specific L2/L3 teams without manual intervention.

Key benefits include:

- Faster incident resolution, fewer escalations, and ITSM tickets

- Reduced reliance on skilled staff for incident analysis

- Standardized communication across all stakeholders

- Up to seven minutes saved per ticket during an escalation

- Accurate causality 95% of the time (during beta testing)

“BigPanda’s AI-powered Generative AI empowers our ITOps teams by providing faster incident detection and independent resolution using generative AI,” said Jeremy Talley, lead operations engineer at RHI. “The rapid, automated extraction of meaningful insights from our complex IT alert environment not only makes us better at L1 response but also reduces escalations to our L2 and L3 experts.”

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BigPanda Announces Generative AI for Automated Incident Analysis

BigPanda announced Generative AI for Automated Incident Analysis, a new capability that uses advanced AI to estimate incident impact, suggest likely root causes, and provide clear, natural language incident titles and summaries.

BigPanda’s Generative AI taps into large language model (LLM) technology to automatically and quickly deliver accurate and consistent incident analysis that is easy to understand, reduces mean time to identify (MTTI), and vastly improves incident resolution speed.

ITOps teams often struggle to quickly analyze incidents and determine their impact on the tech stack. Identifying the probable root cause is time- and resource-intensive, even when specialists are available. Further, critical insights and details hidden in lengthy and complex alerts often go unnoticed, causing downstream staff and systems to struggle when incident details are poorly communicated or described. BigPanda Generative AI eliminates these common pain points with clear and concise incident analysis that gives ITOps teams clear visibility so they can act quickly and reduce downtime.

“We were already the leader in intelligent IT Operations — AIOps — and the latest innovations in Generative AI have taken our platform to a new level,” said Assaf Resnick, CEO and co-founder of BigPanda. “Customers that have used early versions of our Generative AI report it helps accelerate incident triage while reducing the number of tickets escalated to senior staff. This results in not just saved resources, but makes their systems more reliable and helps drive their businesses forward.”

The Future of AIOps is Here Today

BigPanda’s Generative AI combines AI with correlated and enriched alerts to deliver an accurate interpretation — natural language summaries — of combined alerts across multiple systems. The correlated alerts’ summary, title, and root cause analysis can automatically be added to ITSM tickets or chat collaboration channels with specific L2/L3 teams without manual intervention.

Key benefits include:

- Faster incident resolution, fewer escalations, and ITSM tickets

- Reduced reliance on skilled staff for incident analysis

- Standardized communication across all stakeholders

- Up to seven minutes saved per ticket during an escalation

- Accurate causality 95% of the time (during beta testing)

“BigPanda’s AI-powered Generative AI empowers our ITOps teams by providing faster incident detection and independent resolution using generative AI,” said Jeremy Talley, lead operations engineer at RHI. “The rapid, automated extraction of meaningful insights from our complex IT alert environment not only makes us better at L1 response but also reduces escalations to our L2 and L3 experts.”

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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 ...

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