BigPanda– Intelligent Automation for IT Operations and complex enterprises

“BigPanda is the first provider of Autonomous Operations solutions that empower IT Operations at large, complex enterprises.”

Enterprises have been trying to automate IT Operations for years. But that automation has been based on rules and dependency models that were programmed by hand, leading to high costs, slow time to value, and inability to keep up with rapid change. The idea, then, and now, is simple. Use Machine Learning to scale up the ability of human beings to manage the tsunami of IT alerts and data coming out the data center, help IT deliver a superior level of digital service and application performance, and in the process, dramatically accelerate innovation.

Enterprises have been trying to automate IT Operations for years. But that automation has been based on rules and dependency models that were programmed by hand, leading to high costs, slow time to value, and inability to keep up with rapid change. Advances in machine learning and AI are helping make autonomous cars a reality. IT automation is on a similar trajectory and using those technologies to make Autonomous Operations (AO) a reality. AO delivers autonomous response and action to y incidents throughout their lifecycle. It moves enterprise IT Ops from legacy rules-based solutions of the past to a fully autonomous future. In the process, it lowers costs and helps y organization confidently transform itself digitally.

BigPanda is one such firm which helps IT Ops, NOC and DevOps teams detect, investigate, and resolve IT incidents faster and more easily than ever before. Powered by Open Box Machine Learning, it correlates IT noise into insights, automates incident management, and unifies fragmented IT operations. Customers such as Intel, TiVO, Turner Broadcasting and Workday rely on BigPanda to reduce their operating costs, improve service availability and performance, and de-risk and accelerate their digital transformation initiatives. Founded in 2012, BigPanda is backed by top-tier investors including Sequoia Capital, Mayfield, and Battery Ventures.

Autonomous products furnished by BigPanda

Black Box Machine Learning

Incident management inside large enterprises continues to be very manual, highly inefficient and mostly ineffective, not to mention costly and risky. A limited amount of automation has crept in, but it’s mostly rules-based and therefore ineffective. Machine Learning can help but current “black box” approaches are opaque and can’t be reliably trusted.

Striking features about Black Box Machine learning:

Advanced Machine Learning

Open Box Machine learning is BigPanda’s unique and pragmatic approach to algorithmic machine learning that’s guided by the principles of full transparency, testability, and control.

Effective Algorithm

BigPanda uses a variety of Machine Learning algorithms, such as Unsupervised Learning, Supervised Learning, Cluster Analysis and Pattern Matching, so you’re assured of the most effective incident management logic in every situation.

Real-Time Processing

BigPanda’s Open Box Machine Learning processes IT incidents in real-time, across the dimensions of topology, context, and alert types, so there’s never any lag between incident and response.

Open Box Control Panel

BigPanda’s Open Box Machine Learning provides users a control panel with a Live Pattern Viewer, a Pattern Editor, and a Pre-Production Tester, so you’re assured of full transparency, testability and control at all times.

Constant Learning       

As new data is collected, BigPanda’s Open Box Machine Learning uses it to suggest new, ever-more-efficient correlation logic so you’re always moving up the efficiency curve.

Incorporates Human Knowledge

BigPanda’s Open Box Machine Learning lets you incorporate y team’s knowledge and best practices into the automation logic, so you can re-use y hard-won business and tribal knowledge.

Meet the formidable leader: AssafResnick

Assaf Resnick serves as the Chief Executive Officer of BigPanda.

“Our mission is to automate and scale the ability of IT Operations to meet the demands of digital transformation.”