Name: How to use AI to extract root cause from observability data
Start: 2023-10-19T17:00:00Z
End: 2023-10-19T17:00:43.000Z
Location: BrightTALK
Rating: 5

BigPanda Inc. enables its customers to organize and mobilize the world’s DevOps and ITOps data. BigPanda’s Incident Intelligence and Automation platform, powered by AIOps, empowers some of the world’s largest brands to keep business running, prevent service outages, and improve incident management to deliver extraordinary customer experiences. BigPanda’s platform is critical for organizations across industries and enterprises of all sizes, from small and medium to Fortune 500 companies, to power their digital services.

Most enterprise ITOps organizations desire a state of self-healing systems capable of identifying and resolving issues without human intervention. While the allure of eliminating known, repeatable incident response workflows offers immense promise, these initiatives often fail to get off the ground.

Join Joe Pisciotta, Principal Product Manager at Red Hat® Ansible® and Blair Sibille, Field CTO at BigPanda, to learn how IT operations can jumpstart automation programs that tie together Incident Intelligence from BigPanda solutions with Red Hat Ansible Automation Platform – so you can go from knowledge to automated response. Strategies to be shared include: 

• How to identify repeated incidents and record the agreed response 
• Automate alert and incident response using BigPanda and event-driven Ansible® 
• Analytics to show the value automation is delivering to your organization

4 new ways to intelligently transform ITOps using AIOps-driven automation

Join Assaf Resnick, CEO, BigPanda and our panel of industry experts as they look ahead to 2024 and share their individual observations and predictions of how ITOps orgs will further innovate and transform over the next 12-18 months. 

In this session, we’ll explore strategies to prepare for ever-increasing complexity and the imminent wave of AI advancements, and uncover approaches to maximize the potential of both current and forthcoming technologies. 

Our experts will discuss:

Automation of ITOps and the vision of autonomous IT 
The emergence of full-stack observability
The possible convergence of ITSM and observability tools
Value-driven approaches to generative AI

This is one webinar you won’t want to miss!

Top 5 AIOps predictions for 2024

Generative AI shows incredible promise, particularly when it comes to explaining complex terms in natural language. But can AI help ITOps teams struggling to keep up with a flood of incidents that demand their attention?  In this web conversation, Jon Brown, Senior Analyst at ESG, is joined by BigPanda Field CTO Blair Sibille to discuss the reality of AI for IT.  

Attendees will learn:
- The current state of Generative AI
- How to best apply AI to ITOps to get real value
- The importance of clean, enriched data for reliable results

The speakers will highlight why generative AI is becoming a necessary tool to make incident response faster, more accurate, and more consistent than humans can achieve alone. Attendees will also learn about practical outcomes of generative AI and will see a demonstration of generative AI in action – summarizing incidents, proposing impact, and suggesting likely root causes.

Cutting Through the Hype – Generative AI for ITOps

Attention IT Operations Superstars! Tired of drowning in a sea of alerts that scream but say nothing? Say hello to a new era of clarity and actionability! 

Join us as we plunge into the world of alert quality—a critical facet often overlooked to reduce alert noise while amplifying actionability and reducing manual toil.

In this webinar, we’ll share:

• Best practices and pro tips to kickstart your alert-quality and actionability journey
• New BigPanda dashboards that measure observability event volumes and alert quality easier than ever
• Demonstrate how easy it is to integrate with your existing IT infrastructure and opportunities for incident automation.

Secure your spot now, and let's propel your IT Operations to new echelons of excellence!

Actionable Alerts: Cut observability noise and kickstart automation

As a healthcare provider, it is crucial for Cambia Health Solutions to ensure they maintain a high availability of uptime. “When an outage occurs, it affects people who are in need of medical care…it is really important to us to be as efficient as possible with event management.”

Join this webinar with Mark Peterson - SPV IT Operations at Cambia Health to learn how Cambia transformed raw data into actionable intelligence and automation to: 

✓ Achieve 83% alert compression
✓ Deliver at a 95% SLA for their NOC
✓ Reach 20X faster incident detection 
 
Register now to secure your spot!

AIOps Success Spotlight: Cambia Health Solutions

Join us for an exclusive webinar and discover how Cribl Stream and BigPanda can revolutionize your IT operations. Don't miss out on this opportunity to:

• Resolve Incidents Faster: Unify ops data, correlate alerts, and automate incident routing for quicker resolution.
• Proactively Optimize: Get real-time insights, identify potential issues, and free up your teams for higher-value tasks.
• Gain Deeper Insights: Leverage all-source observability data to rationalize, mobilize, and add intelligence to your alerts

Register today for this game-changing webinar and transform your IT operations!

Transform your IT operations with BigPanda and Cribl

Jason Walker, CTO BigPanda, examines how AIOps revolutionizes observability for TechOps teams

AIOps and the autonomous enterprise / MIT Technology Review | Future Compute

What’s your strategy for optimizing time and energy without raising ITOps costs? If you’re unsure about your cost optimization plan, we have a webinar for you.

Cost Optimization Strategies for IT Leaders in 2023

In an ever-changing and highly complex digital IT ecosystem, IT departments already have a full plate without adding an additional helping of tools and data. With IT in a more strategic position than ever, professionals need a modern, domain-agnostic AIOps engine like BigPanda to reduce noise and customer-impacting incidents.

One of the top technology providers in the world, CDI, has partnered with BigPanda to step into a future where operational data has a first pane of glass and incident remediation is more efficient than ever.

CDI Modern IT Operations CTO Chris Black and BigPanda RVP of Sales Engineering Hansel Akers discuss the partnership and how AIOps is changing the way IT infrastructure is managed.

Delivering a modern, domain-agnostic AIOps engine

The sheer volume of events from monitoring tools inundating IT teams is one of the biggest contributors to long mean-time-to-act (MTTA). As a result, issues often go unnoticed until users are impacted, resulting in costly service disruptions that could have been avoided if resolved earlier. Join our upcoming webinar to learn how AIOps can reduce long outages and cascading impacts caused by delayed MTTA. 

BigPanda CTO Jason Walker, with years of experience running the global network operations center (GNOC) at Blizzard Entertainment, will share his expertise in tracing alerts from initial trigger to final outcome to improve actionability across multiple sources. With the right AIOps solution, organizations can quickly optimize their operations pipeline and increase alert actionability for everyone from ITOps to SRE’s, DevOps, and other engineers.

Using actionability as the core performance metric allows everyone to evaluate the relative value of any given alert in the same way. Walker will show how a data-driven approach to event deduplication, filtering, enrichment, correlation, routing, and triage will maximize alert actionability and minimize noise, improving MTTA consistently.

Reduce mean-time-to-act by tracing alerts through their lifecycle

Learn how Sony Interactive Entertainment (SIE) introduced standards into their IT operations to build high-performing IT systems that reduced manual process and costs.

In this webinar, you’ll learn more about the benefits of:

Centralizing alert data into a single pane of glass.
Defining actionable alerts, and how to create a successful feedback loop across teams.
How alert quality helps to convert a high-volume of low-quality alerts into low-volume, contextualized, and actionable alerts.

Driving better IT operations based on alert data

Ever wondered what you can actually do with AIOps once your organization has embraced it? It all depends on your level of IT Ops maturity and there are specific metrics that make a difference. 

Check out this 30-minute on-demand webinar where our experts will provide real-life examples of how businesses are leveraging AIOps.

Analytics and Reporting Maturity - Real Talk Webinar Series

IT leaders faced unique challenges in 2022 that forced them to adapt and grow to succeed. As we look ahead to 2023, it’s prudent to have a strategy and goals for the new year to help focus your time and energy. If you’re unsure about your ITOps plan, we have a webinar for you.

In this on-demand webinar, you’ll hear from expert speakers as they discuss their ITOps forecast for 2023, including two predictions you won’t expect. Join us for a discussion that can help you plan your strategy for 2023.

The ITOps 2023 predictions have landed

If you’re like other organizations, you’ve probably invested in several best-of-breed monitoring and observability tools - which is great because your ITOps and NOC teams get full-stack visibility into every aspect of your IT environment. 
 
But this also creates a massive problem for your teams.
 
When there’s an incident or an outage, your ITOps and NOC teams waste precious minutes jumping from tool to tool - instead of looking at the first pane of glass that brings all of your observability, topology, and change data into a single console.
 
So what’s the simplest, fastest way to unify your many different ITOps tools? 
 
Join BigPanda for this 30-minute webinar where Bhushan Jadhav, Senior Manager of Technical Product Marketing, will discuss how you can use BigPanda’s agnostic architecture and self-service integrations to easily and quickly create a first pane of glass.

Your first pane of glass: how to bring clarity to alert noise

Join IT veteran Valerie O’Connell, EMA Research Director, to get the results from new research-based data, including the cost of outages, their frequency and duration, leading causes, and effective measures against them.

ITOps budgeting to win

In this webinar you’ll hear from Waste Management’s Udo Strick about how his company used automation, artificial intelligence (AI), and machine learning (ML) to conquer ITOps challenges.

Key learning topics:

- How AppDynamics and BigPanda are poised to be the pillars of IT organizations
- How AppDynamics and BigPanda can be used to create fully automated IT operations management solutions
- What key performance indicators (KPIs) help articulate a successful implementation that results in real savings

Real talk: automation for ITOps

Constantly evolving IT environments have created an order-of-magnitude increase of change and complexity. Containers, CI/CD, microservices, and cloud-native applications deliver a deluge of alert and change data across a multi-cloud IT stack, making it nearly impossible to pinpoint the root cause of incidents - especially in real-time.  

The result: Reliance on manual, error-prone processes that strain already limited IT resources. A new approach is needed to identify the specific change causing an incident in real-time so organizations ensure service reliability while harnessing the power of hybrid cloud. 

Join our panel of IT leaders across diverse industries as they discuss how they prioritize AIOps strategies to accomplish faster and more reliable incident root cause discovery, impact incident triage, and significantly reduce mean-time-to-resolution (MTTR) beyond what manual resources can achieve.

Attendees will learn:
- The current state of root cause discovery
- How to optimize the application of AI/ML through enrichment and correlation
- The importance of clean, enriched data for reliable and reportable results

How to use AI to extract root cause from observability data

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Artificial Intelligence

Incident Management

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Generative AI

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How to use AI to extract root cause from observability data

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