Name: AIOps 101: Using Gen AI to Deliver Context & Remediate Faster
Start: 2024-07-22T13:00:00Z
End: 2024-07-22T13:01:00.000Z
Location: BrightTALK
Rating: 0

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.

Spoiler: AIOps maturity does not happen overnight, yet achieving positive outcomes is within reach with the proper technology and a clear plan for success. 

The first steps are to create a framework, set benchmarking goals and expected outcomes, and align them with enterprise-grade best practices.

Join this webinar to learn how to realize value quickly, achieving measurable gains in operational efficiency and service availability in only a few weeks.

You will learn how to:
- Set benchmark goals and actionable next steps
- Improve event normalization and alert enrichment
- Prepare your data and organization to take advantage of AI

Roadmap to AIOps maturity — Part 1: Event normalization & alert enrichment

Explore a new enterprise SaaS solution that better integrates event and incident management. 

NOC and ITOps can more easily convert observability data into actionable alerts without depending on manual rules through enrichment. The operational context generated is now available to Service Operations teams to deliver highly informed insights into incident impact and root cause using AI and Generative technologies without modifying the configuration of their ITSM platform. 

Join our interactive webinar to learn how event management improves incident management workflows, but also supports cost-effective and scalable Generative AI ITSM use cases and Copilots. Don’t miss how this new combination also drives data-driven strategies to improve CMBD accuracy and ITSM value.

BigPanda & ServiceNow: Scale IT service operations with modern event management

According to EMA Research in 2024, 82% of IT organizations characterized incidents and outages as increasing each year despite millions of dollars invested in observability and ITSM solutions year over year. 
However, increases are not inevitable. 
EMA research reveals that 18% of IT organizations are going against the trend, actually decreasing incidents and outages through technology, processes, and practices.
Join BigPanda and EMA Research in a practical discussion on how enterprise IT organizations approach modern incident management, real-world automation, and how Generative AI solutions impact incidents and outages.

Real-world strategies for incident management and prevention

Artificial Intelligence for IT Operations, commonly referred to as AIOps, is a transformative approach that combines the power of Artificial Intelligence (AI),
Machine Learning (ML) and Generative technologies with traditional IT and Service Management Operations. AIOps is designed to automate processes and identify problems proactively and resolve them faster, making it an indispensable tool for delivering greater service availability and operational efficiency.

Join our panel session where Adam Blau, Senior Director, Product Marketing at BigPanda and Colin McNaughton, Principle Technical Marketing Manager -Ansible Automation at Red Hat discuss their views on where AIOps and automation is headed in 2024 and beyond, the key benefits that come with utilizing AIOps and automation, and how with full context you’re able to elevate your AIOps strategies.

Future of AIOps & Automation in 2024 and Beyond: Trends that we can't miss

Migrating from legacy IT systems like Netcool poses challenges. These include updating processes,  upgrading or phasing out old systems, and others.

The needs of today's complex IT environments require modernization to close existing gaps.

We understand that migrating off legacy systems like Netcool is hard and requires a lot of time to accomplish. Here at BigPanda, we’ve helped numerous customers modernize. During this webinar, we want to share:
1. Recommended milestones and timelines for a seamless modernization journey
2. Real-world examples of enterprises that have successfully migrated with BigPanda's assistance
3. Key lessons and best practices for enhancing operational efficiency during modernization

Migrating from legacy systems: Lessons for modernization

Approaches to AI Infrastructure for Service Support and Incident Management for Financial Services - with Jason Walker of BigPanda

Today’s guest is Jason Walker, Chief Innovation Officer at BigPanda. BigPanda is a California-based software developer whose AIOps-powered platform helps businesses improve their service support and incident management systems. Jason joins us on this week’s podcast to discuss what financial leaders need to know to drive the IT infrastructure necessary to take advantage of new, emerging, data-heavy use cases we’re seeing in generative AI. Later, he and Senior Editor Matthew DeMello discuss GenAI tools that can help streamline IT workflows.

AI in Financial Services Podcast featuring BigPanda's CIO Jason Walker - Part 1

Looking at the Future of FinServ IT - with Jason Walker of BigPanda

Today’s guest is Jason Walker, Chief Innovation Officer at BigPanda. BigPanda is a California-based software developer whose AIOps-powered platform helps businesses improve their service support and incident management systems. Jason returns to the platform to talk about the future of IT for financial services, given the potential of new generative AI capabilities that are helping streamline data and hardware management workflows. Later, he and Emerj Senior Editor Matthew DeMello examine what AIOps will mean for IT teams and initiatives going forward.

AI in Financial Services Podcast featuring BigPanda's CIO Jason Walker - Part 2

ITOps teams need the full context for every incident, upfront, to quickly and consistently remediate incidents at scale. 

By leveraging AIOps, innovative operations teams can get a clear view of every incident with aggregated & correlated data from topology, change, observability, and CMDB tools, but also augment team knowledge and skills with insights into previous incidents, runbooks, root cause, and more.

Join industry experts to discuss the proven value of full-context operations, the benefits of AI in delivering incident context, and how you can begin to take advantage of AI-powered IT Operations for your enterprise.

Knowledge is power: How AI delivers vital context to IT Operations

Managing alerts and incidents in today’s hybrid cloud landscape presents significant challenges. Fragmented visibility and siloed data across on-premises and cloud deployments can disrupt traditional ITSM workflows, hindering efficient incident resolution and proactive problem prevention.

This session explores how Artificial Intelligence for IT Operations (AIOps) can empower ITSM for a hybrid cloud future. AIOps leverages machine learning and AI to streamline & accelerate incident management within complex hybrid cloud architectures.

The session will address how:

- Boost Efficiency and Speed: AIOps automates tasks, streamlines workflows, and accelerates incident resolution.
Enhanced Visibility and Proactive Insights: A comprehensive view of your IT ecosystem makes automated root cause analysis a reality.
- Conquer Hybrid Cloud Complexity: Overcome configuration management challenges by streamlining data collection and enrichment of alerts and incidents across the IT stack.

Intelligent ITSM: Future-ready event and incident management with AlOps

ITOps and Service Operations share the critical responsibility for operational efficiency and digital service availability, yet grapple with separate tools, varying team expertise, and fragmented workflows when responding to incidents. The unsustainable manual toil and stress hinder both teams’ ability to deliver on their shared service availability goals. 

Join BigPanda's Senior Director of Product Marketing, Adam Blau, as he explores how actionable alerts and enriched incidents deliver operations teams the context to: 
- Reduce the overwhelming number of daily alerts 
- Build shared knowledge and understanding to make informed actions.
- Identify potential issues before they escalate into major problems.

Demystifying Full-Context Operations and its impact on IT

Empowering, supporting, and advancing women in the workplace are stepping stones towards women’s equality. This year, alongside International Women’s Day, we want to inspire others to understand and value women’s inclusion, helping build a better world by aiming to create a workplace that reflects equality and drives innovation and success. 

Join our distinguished panel of tech executives as they discuss their experiences progressing up the corporate ladder, how to overcome both seen and unforeseen challenges and how this impacted their careers. 

Attendees can expect to learn about:
- Building diverse and inclusive teams
- Career successes and failures
- How to build your professional brand

Women in tech edition: Inclusion ignites innovation

Join Cardinal Health’s Christopher Archer, Director of Cloud Native Platforms, and Albert Wong, Senior Engineer, who will discuss how AIOps is used strategically and practically to overcome challenges of cloud migration and monitoring. They will share lessons learned on the importance of contextual incident data to deliver 50% fewer alerts and automation best practices that delivered 20% faster outage resolution. 

Bonus: Participate in a live Q&A session with our speakers to ask your specific AIOps to optimize your cloud operations! Register now!

How Cardinal Health accelerated cloud migration  and lowered costs using AIOps

Automating incident response is a formidable hurdle for IT Operations. Resource limitations, lack of an understanding of the root cause of the issue, and not having a flexible automation solution are among the inhibitors. 

Fortunately, thanks to a new native integration between Ansible Automation Platform and BigPanda, along with certified Content Collections in the Ansible Automation Hub, ITOps teams have the tools they need to streamline their automation journey. This secure and user-friendly framework accelerates and automates incident response activities, improving Mean-Time-To-Resolution (MTTR).

In this webinar, we'll demonstrate how ITOps can harness the power of BigPanda and Event-Driven Ansible to create a full response:

- Leverage the BigPanda analytics and insights to identify prime automation opportunities
- Resolve alerts and incidents, update incident tags, and add comments to remediated incidents using BigPanda and Ansible Automation Platform’s Event-Driven Ansible 
- Utilize Big Panda’s Unified Analytics to showcase the effectiveness of automation initiatives so you can further expand automated responses

From observability to action with Event-Driven Ansible and BigPanda

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

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

The Impact of GenAI in IT Operations

Put AI to work with Now Assist

Enterprise Strategy Group: GenAI Summit​

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Transform Service Management with Gen AI for Exceptional Employee Experiences

Securing GenAI Within Your Organization, While Gaining Leverage Using It

How AI Can Be Used in Cybersecurity Operations

From Artificial to Intelligent: Securing Data for AI

Unleash AI Innovation Across the Enterprise with Teradata and AWS

Leveraging AI in the Evolving and Transformative ITSM Landscape

Evaluating the Pillars of Responsible AI

'Workflow Thinking’ for GenAI and Rich Media Enhancement

Build a Generative AI Chatbot With Dataiku and Snowflake

The Progress of GenAI in the Networking Lifecycle

Understanding Generative AI's Impact on Cybersecurity: Insights for CISOs

Get Visibility and Control of Data

Choosing the Right LLM and Optimizing GenAI Performance

The current IT and service operations landscape is desperate for change: High-touch integrations have plagued traditional event-management with varied results. Systems are rigidly rules-based, difficult, and expensive to maintain. ITOps & incident management teams are burnt out. Adoption of new, innovative tech is daunting, if not impossible. 

Generative AI is not a silver bullet, but it can alleviate these challenges when deployed with the right technology that delivers context for a clear view of every incident and a clear framework that breaks down silos between teams, tools, and workflows.

Join BigPanda as they discuss:

- Benefits of full-context operations for both ITOps and incident management teams
- How AI delivers incident context to drive business outcomes
- A practical approach to getting started with AI-powered tools

AIOps 101: Using Gen AI to Deliver Context & Remediate Faster

AIOps

GenAI

Generative AI

Artificial Intelligence

ITOps

Operations

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AIOps 101: Using Gen AI to Deliver Context & Remediate Faster

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