Name: Agentic AIOps in Action: How LogicMonitor and WWT See Enterprises Preparing for Autonomous IT Agents
Start: 2025-07-16T18:00:00Z
End: 2025-07-16T18:00:42.000Z
Location: BrightTALK
Rating: 4.8

Monitoring unlocks new pathways to growth. At LogicMonitor, we expand what’s possible for businesses by advancing the technology behind them. We seamlessly monitor infrastructures, empowering companies to focus less on problem solving and more on evolution. We turn on a complete view in minutes, turn the dial from optimization to innovation and turn the corner from sight to vision. Join us in shaping the information revolution.

Tune in for best practices and industry news related to public cloud, complex IT infrastructure, and monitoring how-to's.

MSPs face growing pressure to meet rising client expectations, control costs, and deliver stronger SLAs. As observability becomes foundational to IT operations, logs are evolving from backend data into a strategic asset.

From Cost to Competitive Edge: How MSPs Can Unlock Profit with LM Logs

Watch industry experts from OpenAI, Tribe AI, and LogicMonitor for a forward-looking discussion on how agentic AI is reshaping enterprise IT operations.

Agentic AI in Action: How OpenAI, Tribe AI, and LogicMonitor See Enterprises Preparing for Autonomous IT

As global sustainability regulations evolve, managed service providers (MSPs) are uniquely positioned to guide clients through these changes and unlock new strategic value in the process.
The Corporate Sustainability Reporting Directive (CSRD) is now in effect, requiring enterprises to disclose risks and opportunities related to environmental and social issues in their annual reports. CSRD requirements apply for the first time to Financial Year 2024 reporting, published in 2025.
LogicMonitor Sustainability Monitoring is uniquely positioned to help support your clients and respond to this shift. Download our on demand webinar to hear more about the solution and how Electricity Maps has put it in action with their customers.

Supporting Sustainability Reporting Requirements for Your Managed Service Clients

In this session, LogicMonitor’s Senior Solutions Engineer, James House and Edwin AI Consultant, Adam Jacobs demonstrate how LogicMonitor’s AI agent cuts through alert noise, pinpoints root causes, and guides IT teams toward faster, smarter resolutions.

What you’ll see:

How AI reduces alert fatigue and streamlines incident response
A consultative approach for identifying inefficiencies in IT incident resolution
How to access your complimentary AIOps business process consultation

Whether you’re looking to sharpen your incident resolution practices or explore AI-driven observability, this session is packed with practical insights.

Mission AI Possible: The Sequel Less Noise, More Insight: AI Ops in Action

Recent research from Enterprise Management Associates (EMA) and LogicMonitor reveals that 68% of organizations are actively leveraging AI-driven tools like GenAI and machine learning to automate tasks, enhance security, and improve decision-making.

Join EMA Analyst, Dan Twing, and LogicMonitor’s General Manager of AI, Karthik Sj, for an in-depth discussion on how IT leaders are leveraging AI to redefine operations in 2025.

The AI Advantage: How IT Leaders are Redefining Operations in 2025

Join LogicMonitor and AWS experts for actionable insights to make your VMware migration seamless, cost-effective, and performance-optimized. Discover how a hybrid observability platform like LogicMonitor Envision helps CloudOps teams manage VMware migrations, mitigate risks, and optimize on-prem and cloud environments for maximum efficiency.

Key takeaways for CloudOps:
- Ensure uninterrupted service availability and gain better control over migration timelines while optimizing cloud costs with detailed billing and utilization insights
- Compare lift-and-shift vs. refactoring strategies for VMware workloads and see how LogicMonitor Envision automates VM configuration detection and cost optimization
- Improve cost visibility and ensure migrated resources deliver optimal performance, avoiding common pitfalls in on-prem to cloud transitions
- Automate performance optimization by identifying over-provisioned VMs and streamlining workflows through integrations with tools like ServiceNow and PagerDuty

Mastering a VMware to AWS migration: Optimize performance, cut costs, and minimize risks

In an era where technology drives business success, staying competitive means embracing the future. Join us for an exclusive fireside chat featuring industry trailblazers as they explore how AI is reshaping IT operations.
LogicMonitor’s General Manager of AI, Karthik Sj, will host an insightful discussion alongside Forrester Principal Analyst, Carlos Casanova, and Kris Manning, Global Head of IT Network at Syngenta. This is a must-attend event for IT professionals seeking to maximize the impact of AIOps tools.

Beyond AIOps: Fireside chat featuring Forrester and Syngenta

Meet Edwin AI, LogicMonitor’s AI-powered super ITOps teammate. Edwin AI fast-tracks cross-domain incident resolution at first-level support, dramatically reducing alert fatigue and MTTR. With AI-powered incident summaries, root cause analysis, and resolution guidance, Edwin AI empowers IT teams to shift from reactive firefighting to proactive operations.

Learn how Edwin AI can transform your IT management, compress alert volume by up to 97%, and drive operational excellence across your IT ecosystem.

Edwin AI: Your super ITOps teammate

Whether you’re moving from data centers or public cloud VMs to Amazon Web Services (AWS), every migration faces risks and challenges. See how LogicMonitor’s hybrid cloud observability capabilities help you spot issues and maintain performance throughout your AWS migration.

Modernize with Confidence: Accelerate and de-risk your AWS migrations

According to our Future Further report, 74% of IT leaders report spending more than a full business day each week troubleshooting and reacting to incidents. And while they have ideas for solving business problems using their data, 74% also say they lack the time and resources to turn those ideas into meaningful action.

Break free from this reactive cycle and focus on what matters most—delivering seamless services and exceptional customer experiences. Join us for the transformative webinar, “How to enable smarter and faster IT operations through AI,” and discover how artificial intelligence for IT operations (AIOps) and machine learning (ML) can revolutionize your incident management.

Industry experts Andy Thurai, VP & Principal Analyst at Constellation Research, and Ranjan Goel, LogicMonitor VP of Product Management, will share:
- Strategies to simplify your operations and boost productivity
- Secrets to achieving agility and reliable performance at scale
- How AIOps predicts and prevents IT incidents
- Real-world examples of IT teams leveraging AI for success

Take advantage of this opportunity to learn how AIOps empowers IT teams and leaders to become more proactive, efficient, and focused on driving business value.

How to enable smarter and faster IT operations through AI

Navigating the complexities of hybrid cloud environments? Join us for our exclusive webinar. This event is an unmissable opportunity for IT professionals looking to enhance their cloud strategies with advanced AI-driven solutions.

As hybrid cloud infrastructures become increasingly prevalent, the challenges of managing and monitoring these environments grow. Our webinar addresses these issues head-on, offering insights into innovative monitoring solutions that bring clarity and efficiency to your cloud operations.

We’ll explore how LogicMonitor, in collaboration with AWS, provides unparalleled visibility into both AWS and on-premises deployments, leveraging the latest in cloud monitoring technology.

What you’ll learn:
- Strategies for optimizing the performance of migrated resources
- How to leverage AI for efficient alert management and prioritization
- Techniques to gain comprehensive visibility into your hybrid cloud infrastructure

Discover how to navigate the cloud landscape with confidence and efficiency. Embrace the future of hybrid cloud monitoring with LogicMonitor and AWS.

Hybrid cloud clarity powered by AI: Discussion and demo with LogicMonitor & AWS

2024 is the year of AI! Companies are finally moving from experimentation to implementation of different AI tools that they hope will boost productivity, increase operational efficiency, and reduce costs. And LogicMonitor, the hybrid observability platform powered by AI, is leading the charge as a pioneer in AIOps. 

Join us for AIOps + Hybrid Observability Converge: The Road to Proactive Operations, part one of a three-part webinar series on AIOps, where LogicMonitor’s very own Ranjan Goel, Vice President of Product Management, and Jason Odden, Principal AIOps Strategic Advisor, outline their recommendations for how companies can get the most out of AIOps, avoid risk, and experience tangible benefits from their AIOps strategy.

AIOps + Hybrid Observability Converge: The Road to Proactive Operations

As cloud migration accelerates, reaching full observability of on-premises resources alongside multi cloud environments is a problem that many growing enterprises have in common. Companies often face visibility gaps that lead to delayed troubleshooting, unexpected outages, and unpredictable cloud costs that are impossible to visualize. Overcoming these challenges can result in proactive incident response, better collaboration across IT and CloudOps teams, and reduced cloud costs.

Join our webinar with 451 Research’s Sr. Analyst, Mike Fratto, and LogicMonitor’s Chief Technology Officer of Field Operations, Ben Radke, for a fireside chat as they discuss hot topics in observability, the value of hybrid, multi cloud observability, and how it can help you harness the full potential of your hybrid cloud investment. Hear examples of how companies solved observability problems with unified monitoring.

Navigating Observability Challenges: A Fireside Chat with 451 Research

ITOM Agentic Workflows and AIOps LEAP leverage advanced AI to optimize AIOps workflows, reduce MTTR, and drive business impact. ITOM AI Agents autonomously triage alerts, investigate issues, suggest remediations, and take action—accessible through real-time collaboration via NowAssist or full task automation. This agentic model leverages agent-to-agent communication to integrate seamlessly with third-party APM and observability AI tools, breaking down data silos and reducing swivel-chair operations to accelerate incident resolution.

Join this webinar to learn how to empower your business with AI-driven efficiency to lower costs, foster innovation, and stay competitive in today’s fast-paced digital world.

Transform IT Operations with ITOM Agentic Workflows and AIOps LEAP

As enterprises scale and digital complexity grows, traditional IT operations struggle to keep up with the demands of speed, reliability, and efficiency. This session explores how AIOps—Artificial Intelligence for IT Operations—enables organisations to transform their IT environments into agile, intelligent, and self-healing systems. By combining machine learning, real-time analytics, and automated remediation, AIOps reduces incident response times, prevents outages, and empowers teams to shift from reactive firefighting to proactive innovation.



Attendees will learn how leading enterprises are leveraging AIOps to modernise their operations, enhance service delivery, and build resilience in an increasingly dynamic digital landscape.

Transforming IT Ops with AIOps for Agile, Smart, and Resilient Enterprises

As digital ecosystems grow increasingly intricate and interdependent, IT operations teams find themselves navigating a labyrinth of complexity while stakeholders demand flawless performance. Traditional reactive approaches to IT operations are proving insufficient, with technical issues costing organisations an average of $5,600 per minute in lost productivity and revenue.

The integration of artificial intelligence, generative AI, and autonomous agents represents a major shift in operational resilience. By implementing intelligent frameworks that can identify issues, understand their origins, and autonomously resolve problems across IT and business systems, organizations can transform from reactive firefighting to proactive management. This evolution requires fundamental changes in how enterprises approach automation, cross-system data integration, and operational culture—but delivers dramatic improvements in system reliability, cost efficiency, and business alignment.

Join Guru Rajaram and Rajib Deb from Deloitte's AI & Data practice to explore how reimagined IT operations can drive measurable business value through proactive, resilient systems.

Key Takeaways:

- Understand the architectural components of AI-powered operations frameworks that enable autonomous issue detection and resolution
- Learn practical strategies for implementing intelligent automation that scales across enterprise systems
- Discover approaches for integrating generative and agentic AI capabilities into existing operational workflows
- Explore methods for measuring business impact and ROI of advanced IT operations
- Gain insights into the organizational and cultural changes needed to successfully adopt AI-driven operations

Intelligent ITOps: Harnessing AI and Automation for Resilient Enterprise Systems

In a world where minutes of downtime translate to millions in losses, the elusive promise of self-healing IT systems remains the holy grail for operations teams everywhere. The promise of AIOps to transform IT operations through intelligent automation has created significant market buzz, yet many implementations fail to deliver expected outcomes because they overlook the critical foundation: high-quality data and mature ITSM processes.

Today's IT leaders face mounting pressure to demonstrate value through automation while navigating a landscape filled with vendor hype and unrealistic expectations. This session cuts through the noise to reveal how successful AIOps implementations depend on addressing fundamental data quality challenges before automated remediation can become reality. By understanding the interdependencies between your ITSM framework and AIOps capabilities, you'll learn practical strategies to build a sustainable foundation for truly proactive operations that deliver measurable business value.

Discover how to transform your IT operations by building the right data foundation for effective AIOps-driven remediation.

Key Takeaways:

- Understand the critical data quality dimensions (completeness, accuracy, governance) that determine AIOps success or failure in automated remediation scenarios
- Learn practical methods to assess your organization's AIOps readiness and identify specific data improvements needed before implementation
- Discover strategies to align ITSM processes with AIOps capabilities to create a seamless remediation workflow
- Walk away with a practical framework for building organizational alignment around data quality as the foundation for successful automated remediation

Proactive Remediation: The ITSM-AIOps Integration Advantage

In the labyrinth of modern enterprise technology, AIOps often feels like a mystical black box -- powerful, yet frustratingly opaque. Over the last two decades we have all watched countless promising technologies get sidelined not because they lack potential, but because leadership can't see inside the mechanism.

This session from industry thought leader Gael Decoudu isn't another technical deep-dive. It's a pragmatic roadmap for transforming AIOps from an intimidating technological black box into a strategic business asset that speaks the language of value, risk mitigation, and organizational efficiency.

Key Takeaways
- Learn practical translation frameworks that convert technical AIOps metrics into business value language that resonates with leadership. 
- Discover the four critical layers of AIOps explainability and how to implement them within your organization's unique culture. 
- See examples of how successful organizations transformed "black box" AI technologies into transparent business assets. 
- Get a phased implementation roadmap for building an explainability practice that scales across your enterprise. 
- Walk away with actionable communication strategies that help technical teams articulate AIOps value in terms of performance impact, risk mitigation, and operational efficiency.

From Black Box to Business Buy-In: Making AIOps Explainable for Enterprise-Wide Adoption

The tsunami of data overwhelming IT operations has exposed a critical flaw in our approach: analyzing more data faster doesn't deliver better business outcomes. Forward-thinking enterprises are pivoting from data-centric to outcomes-driven AIOps strategies—where success is measured not by the insights generated, but by the tangible business results achieved through anticipatory operations.

Implementing post-AI Quantum technologies presents a number of significant challenges, from integration with legacy systems to establishing new governance frameworks for ethical use. However, organizations that successfully navigate this transition gain unprecedented capabilities to anticipate disruptions before they occur, dynamically adapt to emerging threats, and transform operational resilience into competitive advantage. This paradigm shift requires rethinking how we evaluate, deploy, and measure the impact of advanced AI technologies within enterprise environments.

In this session, Dr.-Prof.-Eng. Yogesh Malhotra, Founder, Chairman & CEO of Global Risk Management Network LLC and AWS Quantum Valley™ US Air Force-Pentagon MVP, explores how outcomes-driven AIOps transforms enterprise agility in the post-Quantum-GenAI era.

Key Takeaways:
- Master the transition from data-driven to outcomes-driven AIOps.
- Overcome key implementation challenges for post-AI Quantum technologies.
- Develop more trustworthy AI models through human-centered, meaning-aware approaches.
- Enhance operational resilience through anticipatory rather than merely predictive systems.
- Create a strategic roadmap for measuring outcomes-based success in your AIOps initiatives.

Beyond Prediction: Outcomes-Driven AIOps for Enterprise Agility

AI is the current hot topic, but what is AIOps? In this session, we'll cut through the hype to define AIOps, how it can help you and how to get started. With real-world examples of how businesses succeed using Splunk's AIOps capabilities, we'll discuss applying AI and ML to accelerate incident response, reduce MTTD and MTTR, cut costs and empower teams with the tools they need to make decisions quickly.

AIOps - How Observability Can Help You

Accelerating the Enterprise with AIOps

Agentic AI is reshaping how enterprises operate—ushering in systems that act with autonomy, learn dynamically, and support faster, smarter decision-making. But with this power comes complexity. In this discussion, leaders from LogicMonitor and WWT unpack what Agentic AI means for the IT enterprise today—and how IT leaders can prepare. We will explore how to evaluate your organization’s Agentic AIOps maturity, assess the fit of AI partners, and implement agentic AI with the right balance of oversight and autonomy. 

Join us to learn how IT and AI leaders are navigating this new era with confidence. We will explore:

•What makes Agentic AIOps different and more actionable
•How to assess Agentic AIOps readiness and drive adoption
•Real world customer case studies in production

Agentic AIOps in Action: How LogicMonitor and WWT See Enterprises Preparing for Autonomous IT Agents

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Agentic AIOps in Action: How LogicMonitor and WWT See Enterprises Preparing for Autonomous IT Agents

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