Open Box Machine Learning from BigPanda

Get unparalleled event correlation and root cause analysis capabilities with clear, reliable, and explainable insights in plain language.

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Advanced AI/ML for faster incident remediation

Accelerate incident discovery, investigation, and remediation with explainable and controllable Open Box Machine Learning from BigPanda.

Harness AI and ML to dramatically reduce monitoring noise

Open Box Machine Learning from BigPanda automatically reduces observability and monitoring noise by over 95%, usually within the first eight weeks of deployment.

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Automatic ITOps event correlation

Automatically merge and cluster alerts into high-level, actionable incidents by evaluating their properties against patterns in time, topology, context and alert type.

Automated root cause analysis

Accelerate investigation and reduce MTTR by up to 50% by harnessing AI to automatically aggregate all observability, topology, and change data, identify an incident’s root cause, and explain probable impact.

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Easily tune and control ML results

Auto-generated patterns are created and displayed in the Open Box Machine Learning control panel as suggestions, which teams can customize to increase the effectiveness of the correlation without the need for expert data scientists.

Accurate AI-powered results

BigPanda leverages a mix of proprietary supervised and unsupervised machine learning algorithms, developed by world-class experts and enhanced by extensive experience with some of the world’s most complex IT environments.

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Fast, reliable, and actionable results

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No data scientists needed

“BigPanda’s open-box machine learning give us transparency within the product that gives us insights into how correlation is occurring and how we can better tune it to meet our needs. With BigPanda we achieved a 94% reduction in alert noise.”

Sanjay Chandra
CIO at TiVo

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Full control and tunability

“When we partnered with BigPanda, we aimed to address the lack of context within our events. A key feature we leveraged was the AI/ML-backed ‘suggested correlation patterns.’ In addition to our user-defined parameters, this suggestion capability allows us to identify related events, explore historical implications, and seamlessly implement correlations for future insights.”

Tony Penticoff
Lead DevOps Engineer, Aegon

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Unrivaled time to value

“Without Alert Intelligence teams waste valuable time logging into many different programs. BigPanda streamlines this process so that users can identify, troubleshoot, and solve issues faster.”

Jon Brown
Senior Analyst at ESG – IT Operations, IT Service Management, FinOps, Sustainability in IT

FAQ

What does it mean to be “Open Box”?

While many vendors provide AI and ML algorithms, these are often “black box”, untunable systems that return results without explanation. AI and ML systems from BigPanda are user-tunable, and feature explainable results to help drive better, more accurate results and build confidence in the insights they deliver.

How does Open Box Machine Learning from BigPanda adapt to changing ITOps needs?

BigPanda uses machine learning models that continuously and automatically learn and adapt to ever-changing IT environments, so they are always in sync with evolving business and technical needs.

Our Open Box Machine Learning regularly suggests correlation logic as new infrastructure elements, apps, services, and tools are added to environments and new data is ingested and correlated. This makes BigPanda the perfect match for organizations that are modernizing their applications.

What are the most common use cases for BigPanda AI/ML?

BigPanda’s pragmatic AI/ML approach is focused on delivering tangible value to users in these areas:

  1. Eliminating alert noise
  2. Correlating events into actionable incidents
  3. Automating root cause
  4. Automating incident titles and descriptions
  5. Presenting relevant incident context where it’s needed

In each of these areas BigPanda users are able to control how and when AI/ML is used and clearly see how it impacts key metrics.

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