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BigPanda AIOps innovations gain analyst recognition

5 min read
Time Indicator

by Joel McKelvey | Aug 3, 2023

Every day, BigPanda is transforming the way our customers operate. Our advanced AIOps technology redefines incident management, prevents service disruptions, and elevates customer satisfaction — and I couldn’t be more thrilled to see industry experts take notice. I’m particularly proud to see BigPanda mentioned in nine of the highly esteemed 2023 Gartner Hype Cycle reports. This remarkable recognition is a testament to our unwavering commitment to our customers and to AIOps innovation. With utmost pride, BigPanda is cementing its leading position in the ever-evolving AIOps industry.

Authored by expert analysts, “Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities.*” BigPanda’s broad appeal and pragmatic approach to AI is evident in the breadth of the Gartner Hype Cycle reports in which BigPanda features, including:

What is a Gartner Hype Cycle?

According to Gartner, “Hype Cycle methodology gives you a view of how a technology or application will evolve over time, providing a sound source of insight to manage its deployment within the context of your specific business goals.*” Let’s unpack why I feel BigPanda’s dedication to continuous product improvement, long-term strategy, and relentless innovation is behind the analyst recognition.

A dedication to product improvement and our customers

Our recent product releases show our commitment to our customers and strengthening our platform’s capabilities. Some of the most interesting include Generative AI, BigPanda’s Enrichment Maps UI, which empowers customers to enhance alert quality by leveraging existing relationship information, and the Event Processing Dashboard, which grants early insights into the success of a BigPanda configuration.

Additionally, BigPanda provides customer-centric pricing and support. BigPanda’s flexible and customer-first pricing model supports numerous use cases, so it’s accessible to a wide range of organizations. Our Starter Pack is designed for quick time-to-value and streamlines onboarding and consolidates IT Ops into a single, scalable monitoring platform. The Starter Pack also helps teams gain visibility into alert payloads, reduce noise, and focus on high-value projects.

Our leading approach to AIOps

We’re the first ITOps platform to deliver Generative AI for Automated Incident Analysis, now generally available for all BigPanda customers. This solution combines the latest Generative AI innovations with high-quality, enriched IT alert data to automatically and reliably reveal key incident analysis, incident impact, and probable root cause in clear, natural language. Generative AI gives your ITOps teams fast, accurate, and consistent insights into incidents, leading to reduced escalations and accelerating incident resolutions.

Our relentless AIOps innovation is driving analyst hype

We’re excited and pleased that BigPanda’s AIOps was mentioned in the nine Gartner Hype Cycle reports. We believe this and the significant amount of other analyst recognition we’ve earned is the result of our dedication to continuous improvement, our innovative approach, and our commitment to product and customer excellence. But we’re not slowing down! We continue to focus our product roadmap on driving real value to our customers – increasing investment in key innovations such as automating root cause discovery, pragmatically integrating next-gen AI into the BigPanda platform, and maintaining and expanding our open approach to data and integrations.

With the recent launch of BigPanda Generative AI and growing analyst recognition, I believe that BigPanda is solidifying its position as a leading AIOps platform, providing organizations with the tools they need to prevent service outages, optimize incident management, and deliver exceptional customer experiences.

*Gartner Research Methodologies, “Gartner Hype Cycle”, “July 21 2023”, https://www.gartner.com/en/research/methodologies/gartner-hype-cycle
Gartner, Hype Cycle for Monitoring and Observability, 2023, By Pankaj Prasad, Padraig Byrne, Published 10 July 2023
Gartner, Hype Cycle for Enterprise Networking, 2023, By Andrew Lerner, Nauman Raja, Karen Brown, Published 12 July 2023
Gartner, Hype Cycle for Infrastructure Platforms, 2023, By Dennis Smith, Published 12 July 2023
Gartner, Hype Cycle for I&O Automation, 2023, By Chris Saunderson, Cameron Haight, Published 14 July 2023
Gartner, Hype Cycle for ITSM, 2023, By Siddharth Shetty, Chris Laske, Published 14 July 2023
Gartner, Hype Cycle for Infrastructure Platforms, 2023, By Dennis Smith, Published 12 July 2023
Gartner, Hype Cycle for IT Management Intelligence, 2023 By: Cameron Haight, Published 20 July 2023
Gartner, Hype Cycle for Operating Models, 2023 By: Miguel Angel Borrega, Philip Dawson
Gartner, Hype Cycle for Agile and DevOps, 2023 By: Keith Mann, Joachim Herschmann, Akis Sklavounakis, Published 27 July 2023

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