Name: 5 AIOps predictions for 2024
Start: 2023-12-14T18:00:00Z
End: 2023-12-14T18:00:48.000Z
Location: BrightTALK
Rating: 4.6

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.

The emergence of AI has already transformed how businesses invest in and manage IT infrastructure. 

Join our industry experts as they look ahead to 2025 and share their individual observations and predictions of how ITOps orgs will further innovate and transform over the next 12-18 months. 

Our experts will discuss:
- Key takeaways from our 2024 AI predictions and how they unfolded 
- The rise of GenAI and its implications 
- The market trends of 2025 and where we see it headed

Top AIOps predictions for 2025

The news is full of information on how businesses can utilize GenAI. Many organizations are implementing AI to solve real-world ITOps and service management challenges like siloed data and teams, manual workflows, and team inefficiency. 

This webinar will highlight how GenAI can significantly improve incident response processes to provide actionable results. Hear from BigPanda and CDW technology executives about key challenges facing enterprise IT incident response teams and how to use GenAI to improve team efficiency and service reliability effectively.

Gain their perspective about:
- GenAI market trends that directly affect ITOps and ITSM
- Where GenAI can provide the most benefits in IT organizations
- Best practices and how to get started

Integrate GenAI to improve incident response

Amidst the AI hype, many organizations struggle to achieve tangible value from their investments. This is especially true with AIOps, where common challenges include difficulty clarifying use cases and measuring success. 

With the BigPanda platform, organizations can realize significant value within weeks of implementation. For example, customers have achieved:
- 80% noise reduction in just eight weeks
- 25% faster MTTR reduction in 90 days

Join our webinar to discover how you can use the BigPanda platform to:
- Create efficiencies across IT operations
- Realize and measure business value
- Overcome common AIOps adoption challenges

How to achieve fast time to value with AIOps

Maintaining high availability and meeting strict SLAs are critical, especially for financial services IT teams. Outages and slow digital transformation can damage customer trust and your bottom line.

Whether your goal is to optimize incident operations, enhance ITSM, or accelerate digital transformation, AIOps can be the key to overcoming challenges. 

Join industry experts to explore how AIOps can help financial institutions:
- Speed up incident resolution and improve operational efficiency.
- Identify key characteristics and use cases for AIOps.
- Understand the technical requirements for successful AIOps implementation.

AIOps for Financial Services: Compliance, Reliability

As you strive to maintain high availability and avoid downtime, meeting customers' growing expectations for fast, reliable services is more challenging.

Whether you’re looking for a solution to optimize your incident management or enhance your current ITSM and observability tools, AIOps can help you improve processes and outcomes.

Join industry experts to learn more about:
- How AIOps can help you overcome common IT obstacles
- Key characteristics and use cases an AIOps implementation should cover
- Essential technical requirements to achieve positive outcomes

Ultimate guide to identifying the perfect AIOps platform

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

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

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

IT operations 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, including aggregated and correlated data from topology, change, observability, and CMDB tools. Augment team knowledge and skills with insights into previous incidents, runbooks, root cause, and more.

In this webinar, industry experts discuss: 
• Proven value of full-context operations
• Benefits of AI in delivering incident context
• How to take advantage of AI-powered IT operations for your organization

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 incident resolution and proactive problem prevention. 

Explore how AI for IT operations (AIOps) can empower ITSM in hybrid cloud environments. Using AI and ML, AIOps streamlines and accelerates incident management within complex architectures.

Learn how you can use AIOps to: 
• Boost efficiency and speed: Automate tasks, streamline workflows, and resolve incidents faster. 
• Improve visibility and proactive Insights: Use a comprehensive view of your IT ecosystem and automate root-cause analysis. 
• Conquer hybrid-cloud complexity: Overcome configuration management challenges by simplifying data collection and enriching 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 and supporting women in the workplace helps to advance women's equality. As we celebrate International Women’s Day, we want to inspire others to recognize and appreciate how fair and balanced environments reflect equality and drive innovation and success.

Moderated by Katie Volz, a distinguished panel of tech executives shares their professional experiences, how to overcome known and unseen challenges, and how their challenges affected their careers. 

• Rama Akkiraju, VP of AI and ML for IT, NVIDIA 
• Megan Moore, VP of Global Partner Marketing, ServiceNow
• Shripiya Ramanujam, Director of IT Infrastructure, IHG Hotels & Resorts

Our panel shares insight about:
• 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

Led by BigPanda CEO Assaf Resnick, our panel shares observations looking ahead to 2024. Hear their predictions of how ITOps organizations will continue to innovate and transform over the next 12 to 18 months. 

They explore strategies to prepare for ever-increasing complexity and the imminent wave of AI advancements, uncovering approaches to maximize the potential of both current and future technologies.

 Assaf, Jason, and Nicholas 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

5 AIOps predictions for 2024

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5 AIOps predictions for 2024

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