BigPanda

May 25, 2018
2012
Mountain View, CA, USA
Feb 7, 2019   |  By Sean Onion
Basically, Machine Learning by itself is dumb, whether its in cars or in ITOps. It needs context and intent to be beneficial. In IT Ops, that means that it requires business context to work properly.
Jan 23, 2019   |  By Shachar Brenner
Role-based access control (RBAC) has become one of the main methods for system access control within large enterprises, assigning access to users based on their role in the organization. Employees are allowed to access only those resources that are necessary to effectively perform their assigned job duties.
Dec 5, 2018   |  By Haim Snir
It’s time for change – my first insight from GartnerIO, 2018. During my flight to Vegas I remembered that this was probably my 15th visit to a conference in Vegas (but who can really count…after a few, it all starts to blur together). What I do remember though is that, in each of these conferences, there was one very shiny buzzword. The reason I remember this so well is because, while everyone agreed on what the buzzword was, there was no consensus on what that word meant!
Dec 3, 2018   |  By Mohan Kompella
Chronically understaffed and constantly stressed-out IT Ops and NOC teams are overwhelmed by today’s IT noise. Artificial Intelligence (AI) and Machine Learning (ML) can help these teams because ML (and AI) are exceptionally good at processing enormous volumes of very complex data in real-time, or near real-time, and surfacing actionable insights. But ML successes in IT Ops are still hit-or-miss.
Nov 7, 2018   |  By Isaac Sacolick
You’ve just recovered from a critical application outage and your team is being asked to report on root cause and recommended remediation steps later this afternoon. Can you quickly analyze all the data, identify all the leading events, and discern which one was responsible for the cascading failure?
Oct 21, 2018   |  By BigPanda
IT systems are more complex and agile than ever before. As a result, the amount of alerts that ops teams have to deal with has increased by orders of magnitude. Alert correlation is designed to reduce the strain and boost productivity by transforming high volumes of alerts into actionable insights.
Oct 21, 2018   |  By BigPanda
Grounded in the latest market research, this new report, The Modern NOC: IT Ops Predictions for 2018, features 9 key predictions for our industry. Whether you are an executive, manager or engineer, this report examines issues and trends that affect the enterprise at all levels.
Oct 1, 2018   |  By BigPanda
Autonomous Digital Operations, or ADO, is all about applying more intelligent automation to scale IT incident management. ADO can optimize your operational costs, improve service availability and mitigate the risks of digital transformation.
Feb 8, 2019   |  By BigPanda
Your IT Ops execs and your service owners want reports that show easy-to-understand reports on: Application and service uptime and performance, IT Ops and NOC team performance & Incidents by source, severity and other parameters. To do this, your IT Ops team is probably wasting precious hours every week, wrangling with spreadsheets and general-purpose reporting tools are hard to use and update. BigPanda Unified Analytics can change all of that. ..hours that your IT Ops team doesn’t have!
Jan 9, 2019   |  By BigPanda
2018 has been incredible for our Pandas! We grew our team, achieved amazing things and bonded along the way. We can’t wait to see what 2019 has in store for us.
Nov 29, 2018   |  By BigPanda
Chronically understaffed and constantly stressed-out IT Ops and NOC teams are overwhelmed by today’s IT noise. Artificial Intelligence (AI) and Machine Learning (ML) can help these teams because ML (and AI) are exceptionally good at processing enormous volumes of very complex data in real-time, or near real-time, and surfacing actionable insights.
Nov 29, 2018   |  By BigPanda
Open Box Machine Learning from BigPanda is a revolutionary approach to machine learning in IT Operations.
Nov 29, 2018   |  By BigPanda
With BigPanda’s Open Box Machine Learning, teams can see the ML logic in plain English, they can edit the logic, test it and run what-if experiments, and they can add situational and tribal knowledge that strengthens this logic.