August Product Power Hour: Edwin AI In Action
Overview This month’s Product Power Hour was a deep dive demo experience of LogicMonitor’s Edwin AI, featuring a next-level opportunity to go beyond the fundamentals. We showcased new capabilities, real-world usage patterns, and what’s coming next on the Agentic AI roadmap. The session was packed with live demonstrations, product walkthroughs, and interactive discussions that brought Edwin AI’s intelligent observability features into sharper focus. From alert deduplication to automated investigations and AI-powered root cause suggestions, the session left no doubt about Edwin’s power to reduce noise and accelerate resolution. Attendees gained a clearer understanding of what Edwin AI can do today, as well as what’s possible tomorrow. Key Highlights ⭐ Next-Level AI Investigations: We went beyond the basics to show how Edwin uses out-of-the-box correlation models and enriched context to pinpoint likely root causes faster. ⭐ Targeted Alert Routing: Discussions explored how Edwin AI’s rapid evolution could lead to support role-specific alerting during deduplication events—a capability on the product radar. ⭐ Flexible LLM Usage: The demo showcased how Edwin AI leverages both OpenAI and Anthropic via AWS Bedrock, selecting the optimal model for each task to ensure precision and performance. ⭐ Out-of-the-Box & Tunable Models: Attendees learned they don’t have to start from scratch, asEdwin comes with built-in models that can be adjusted to fit your environment. ⭐ Strong Customer Momentum: The session shared how attendees are actively exploring Edwin AI via Proof of Concepts or preparing for a Q4 rollout. Q&A Q: Are out-of-the-box correlation models available, or do we build from scratch? A: Yes, Edwin AI provides pre-built models that can be fine-tuned for your specific needs. Q: How is customer data handled with LLMs? A: LogicMonitor does not train on customer data. All data is securely segregated, and models are selected based on the task—nothing is shared across tenants. Q: Can we filter out alerts based on custom resource properties? A: Yes, Edwin AI supports filtering logic at ingestion to give you control over what alerts it processes. Q: Can deduplicated alerts be routed to different stakeholders? A: This isn’t available yet, but it’s a hot topic and something we’re exploring for future iterations. Customer Quote Call-outs 🌟“We’re planning a PoV and are really curious to see how Edwin handles topology-driven data.” 🌟“Excited about where this is going—we’d love to see automation and self-remediation layered in.” 🌟“The multi-model approach makes so much sense—great to see task-specific LLMs being used.” What’s Next 🏕️ Camp LogicMonitor: An Observability Adventure On August 18th, we kicked off our first Camp LogicMonitor! Join us for this 4-week virtual learning experience designed for LogicMonitor users of all levels. Each week features self-paced lessons, community discussions, and live Campfire Chats with product experts. Earn badges, grow your skills, and score exclusive LogicMonitor swag! 👉 Register now to reserve your spot! 👥 User Groups Connect in person with other LM users in your city over dinner and real talk. Share wins, swap stories, and grow your network. RSVP today: Denver - September 10 Stay tuned to our LM Community User Group Hub for upcoming virtual sessions. Note: As we finalize our speakers, these dates and times may change, but be sure to register for your respective regions above so we can keep you informed! 🪵 Logs for Lunch September 10: Logs Overages & Reducing MTTR with Cloud Logs ⚡Product Power Hour September 18: Cloud Monitoring With Containers Want to check out previous Product Power Hours? Explore the Product Power Hour Hub in the LM Community! 📚 Badges and Certifications Earn free, on-demand, digital badges that validate your product knowledge and platform skills. Available badges: 🛡️Getting Started 🛡️Collectors 🛡️Logs 🛡️AI Ops Adoption 🛡️Dashboards Review If you missed any part of the session or want to revisit the content, we’ve got you covered: Review the slide deck Want to dive deeper into this session? Watch the recording below ⬇️August 19 - Product Power Hour: Edwin AI In Action
Product Power Hour: Edwin AI In Action Date: Tuesday, August 19 at 10 AM CT 🔗 Register Here Join us for August’s edition of Product Power Hour, your monthly deep dive into the latest and greatest from LogicMonitor! Hosted by the LM Community, Product team, and Training & Enablement, this session will focus on Edwin AI, the intelligent assistant in LM Envision designed to help you uncover insights, streamline workflows, and act faster than ever. Featuring Guest Speakers: Sarah Luna, Principal Product Manager Max Bradley, Senior Sales Engineer What You’ll Learn 🤖 Edwin AI in Action: Discover how Edwin AI surfaces insights, streamlines workflows, and enhances daily monitoring tasks. 🛠️ Product Capabilities Deep Dive: Get a firsthand look at the Edwin AI features available today—and what’s coming soon. 📈 User Journey Demo: Watch a live walkthrough of a real-world use case from start to finish using Edwin. 🔮 Preview of What’s Next: Get a sneak peek at Edwin’s upcoming live agent capabilities launching this fall. ❓ Expert Q&A: Bring your questions for our product experts—we’ll leave time to help you maximize Edwin’s potential.2025 1H Launch: Level Up Your IT Universe!
IT leaders are facing growing cloud complexity, skyrocketing AI workloads, and relentless operational demands. That’s why we’re introducing powerful updates designed to enhance visibility, accelerate troubleshooting, and drive efficiency at scale. Here’s what we’re unveiling today: Best-in-Class Hybrid Observability – Bringing total visibility and efficiency to AI workloads Accelerated Troubleshooting with Logs – Streamlining root cause analysis with AI-driven insights Optimizing Insights and Resolution with GenAI Agent – Advancing AI-driven automation for faster issue resolution Let’s explore how LogicMonitor is redefining IT efficiency. Expanding Best-in-Class Hybrid Observability AI workloads are growing fast, demanding more power, better scalability, and smarter cost efficiency. Managing hybrid environments across public clouds, private data centers, and edge locations? That’s where Hybrid Observability comes in. With LM Envision’s AI-driven observability platform, you get: Full AI workload visibility by tracking GPU utilization, memory, temperature, and power consumption to prevent performance bottlenecks. Unified infrastructure monitoring across AWS, Azure, GCP, and on-prem environments so you can troubleshoot faster and make informed decisions. Optimized AI model and application performance through continuous monitoring of latency, error rates, and throughput to ensure responsiveness. For enterprises running AI and ML workloads, our latest integrations provide visibility into NVIDIA GPUs—helping ITOps prevent downtime and optimize model performance—and Amazon Q Business, so teams can ensure chatbot responsiveness and service reliability for internal business workflows. With Cost Optimization, you can maximize efficiency while reducing spend. Some examples include: Eliminating wasted cloud resources with a multi-cloud billing dashboard that pinpoints cost-saving opportunities. Leveraging AI-powered recommendations to optimize CPU, memory, and storage usage without impacting performance. Taking real-time action with direct AWS and Azure portal integrations, allowing seamless resource adjustments. With Hybrid Observability and Cost Optimization, you don’t just monitor AI workloads—you optimize them for peak performance and cost savings. Accelerating Troubleshooting with AI-Powered Logs Downtime is costly, and jumping between multiple monitoring tools slows down troubleshooting. That’s where LM Logs comes in to make problem resolution faster, smarter, and more automated than ever. Here’s how it helps: Detecting issues before they escalate with AI-driven anomaly detection, giving IT teams early warnings. Streamline log searches using AI-powered filtering to eliminate the need for complex query syntax. Correlate logs, metrics, and past incidents to gain full context instantly and reduce investigation time. Turn complex log data into clear, human-readable insights in seconds with queryless logs. Whether it’s shortening time-to-insight or reducing the noise that gets in the way, LM Logs helps teams shift from reactive to proactive operations. Optimizing Insights and Resolution with GenAI Agent IT environments are more complex than ever, and traditional AIOps isn’t keeping up. That’s why we built Edwin AI's GenAI Agent —a next-generation AI agent that doesn’t just analyze incidents but takes action. So, what sets the GenAI Agent apart? New enhancements take Edwin AI to the next level by: Pinpointing root causes instantly with AI-driven correlation, eliminating time-consuming manual investigations. Reducing alert noise by 80%, filtering out irrelevant alerts so teams can focus on real issues. Resolving incidents faster with AI-generated recommendations and guided troubleshooting steps. Integrating seamlessly with 3,000+ tools, including Datadog, Splunk, Crowdstrike, and ServiceNow, for complete operational visibility. Immediate Value, Fast Deployment Unlike traditional AI solutions that take months to implement, Edwin AI is up and running in days or weeks. With real-time event intelligence, it starts delivering insights within hours. By automating troubleshooting and reducing alert fatigue, Edwin AI is transforming how IT teams operate. Want to Know More? Join us on April 3rd at 11 am CST to get even more information and live demos from our product experts during our 1H Launch webinar - register today! Readings: Modernizing Data Centers for AI Cost Optimization Observability for AI Workloads Accelerating Troubleshooting with Logs That’s a wrap on our 1H Launch! Until next time—stay proactive, stay optimized, and keep innovating with LogicMonitor!LogicMonitor’s Edwin AI Product Roadmap Roadshow Recap
We're so excited to share a recap from our Edwin AI Product Roadmap Roadshow hosted by the LM Community! Our AI team has been diligently working to create groundbreaking features and launch LogicMonitor into the Generative AI space to improve your LogicMonitor experience. Edwin AI provides comprehensive summaries that refine complex situations into easily digestible information and gives in-depth root cause analyses to help teams quickly identify the source of problems. The Edwin AI team is next working on generating step-by-step playbooks for issue resolution, that will help guide teams through the troubleshooting process and ensure consistent, effective problem-solving across the organization. Let's dive into the exciting updates and upcoming events. What Was Covered Presenters: Karthik Sj - General Manager, AI Stella Kim - Product Marketing Manager, AI Sarah Luna - Senior Product Manager Kristen Engelhardt - Vice President, Customer and Product Enablement Suzanne Shaw - Senior Community and Advocacy Manager Product Highlights Workflow Management: Edwin AI represents a significant leap forward in IT operations management, offering a suite of powerful features designed to streamline workflows and enhance decision-making. At its core, Edwin AI excels in generating readable summaries of complex IT situations, providing IT teams with clear, concise overviews of ongoing issues. Conversational Assistant: One of Edwin AI's upcoming features is its role as a conversational assistant, allowing IT professionals to interact with the system using natural language queries. This intuitive interface makes it easier for teams to access critical information and insights quickly. Event and Alert Intelligence: This innovative solution tackles two major pain points in IT operations: alert fatigue and event correlation. By significantly reducing alert noise and improving the correlation between events and alerts, it allows IT teams to focus on the most critical issues without being overwhelmed by a constant barrage of notifications. Edwin AI in Action: Live Demo Tangible Metrics: Edwin AI has a concrete impact on IT operations, highlighting significant reductions in alert noise and ITSM incidents. These metrics demonstrated how Edwin AI can surface the most relevant and important problems and improve efficiency in IT management processes. Intuitive Homepage: AI-generated titles and tags for each incident are featured on Edwin AI’s homepage. This smart categorization allows IT teams to quickly grasp the nature and severity of ongoing issues, facilitating faster response times and more efficient prioritization. AI-Generated Summaries: Edwin AI can generate comprehensive summaries of complex IT situations. These summaries provide IT professionals with a clear, concise overview of each issue, significantly reducing the time needed to understand and diagnose problems. Conversational Assistant: Edwin AI utilizes natural language processing capabilities, showing how users can interact with the system using everyday language. This feature makes Edwin AI accessible to team members with varying levels of technical expertise, enhancing collaboration and knowledge sharing. Slack Integration: The Edwin AI vision includes a seamless integration with Slack, illustrating how information can be shared bi-directionally between the platforms. This integration allows teams to receive alerts, updates, and insights directly in their preferred communication platform, improving team coordination and reducing response times to critical issues. Customer Success and Feedback The presentation included real-world success stories and valuable customer feedback: Syngenta Case Study: Edwin AI helped reduce ticket volume and freed up time for strategic work. Customer Feedback: Users expressed the need for: Improved usability Enhanced Gen AI features Expanded integrations Privacy and Security: The team addressed the critical importance of data security, assuring that customer data remains protected and is never shared across accounts. The Future of Edwin AI As we continue to refine and expand Edwin AI's capabilities, we're excited about its potential to transform IT operations. By addressing key pain points like alert fatigue and providing AI-driven insights, Edwin AI is set to become an indispensable tool for modern IT teams. Stay tuned for more updates as we further develop and enhance Edwin AI based on your valuable feedback and evolving industry needs! Q&A Session: Q: When you started demoing Edwin AI to customers, what was some of the like critical feedback that you guys got that you realized needed to make some shifts or some updates? A: So there's a ton of feedback that we've gotten as we've been implementing Edwin AI to our customers. Users have been helping us update models and fine-tune them. We're actually in the process of prepping for our next release, which includes a revamp to our new UI, as we got some feedback around usability there. Q: What are you currently working on to improve the experience for customers using or wanting to use Edwin AI? A: There are three areas of improvement that we will continue to iterate on. The first is in our Gen AI features - how we can improve our summaries for users. Next is our integrations - identifying what can we integrate with next that we find our users are utilizing. Lastly, some UI adjustments since there’s always room for us to improve as you're interacting within Edwin AI, like reviewing insights or as you're looking at dashboards. Q: How does Edwin AI work for multi-tenant MSPs? A: A year ago, we introduced the tenant identifier feature in the LM Envision platform. We can now take that to the Edwin AI side and split it by your specific tenants when you set that parameter up. We also support multi-domains within ServiceNow, so if you like, you can have your specific tenants routed to a specific domain within ServiceNow if there's that degree of separation you need. Upcoming Live Events: LM Training | LIVE We're excited to announce a series of special events designed just for you, our valued LogicMonitor community! Introducing LM Training | LIVE – a one-day, in-person event for intermediate to advanced-level practitioners. These events are all about helping you maximize the potential of our platform while connecting with industry professionals and LogicMonitor experts. What to Expect Hands-on training with our LogicMonitor training and product teams Advanced Alerting Service Insights Dashboards & Advanced Reporting Peer-to-peer Use Case Exchanges Engaging Product Leader Roundtable Exclusive SWAG, food, and beverages Dedicated Edwin AI session Plus, you'll leave with a well-earned Edwin AI badge to showcase to your team! Event Dates and Locations October 15 & 16 - Austin, TX October 22 - New York City, NY October 24 - San Diego, CA October 29 & 30 - London, UK Whether you're looking to enhance your skills, share feedback, or network with like-minded peers, this event is perfect for you! Excited about the event and want to attend? Follow the link to register in your preferred city! Not able to attend, or is your session full? Complete our interest form to be notified of future LM Training events or to request additional opportunities as a part of our LM Community events: LM Training and LM Community Future Events Request.Edwin AI In Action: Introduction to Edwin AI
What is Edwin AI, and How Did It Get Its Name? Edwin AI is LogicMonitor's advanced AI solution designed to scale IT operations exponentially. Named after Edwin Hubble, the renowned astronomer who transformed our understanding of the universe, Edwin AI aims to revolutionize how enterprises perceive, reason, and act on complex observability data. Core Features of Edwin AI The complexity of today's IT environments can generate an overwhelming number of technical events, with some organizations tracking up to 12,500 daily alerts. These high-volume event streams create significant challenges for support teams, who may need additional help distinguishing critical issues from routine notifications. Edwin AI addresses this complexity by providing a systematic approach to deduplicating, correlating, and prioritizing operational data. Alert Correlation and Noise Reduction Compresses up to 95% of alerts by automatically deduplicating and clustering related alerts Transforms thousands of daily events into concise, actionable insights Intelligent Root Cause Analysis and Summaries Pinpoints the source of issues with high accuracy Provides clear, human-readable summaries of complex technical alerts Edwin AI Differentiators Purpose-Built for Observability Not a generic ChatGPT wrapper Specifically designed to work with observability data Uses advanced agentic architecture to perceive, understand, and act on IT infrastructure insights Comprehensive Data Integration Ingests data from multiple sources to get all the information that you need in a single place Continuous Learning Constantly processes and correlates data Improves insights and recommendations over time Adapts to unique organizational IT environments How It Benefits You Reduced Operational Complexity Edwin AI dramatically simplifies IT management by reducing Mean Time to Resolve (MTTR) and minimizing alert fatigue. By transforming overwhelming event streams into focused, actionable insights, Edwin AI enables IT teams to shift from reactive firefighting to proactive issue management, putting you in control of your IT environment. The system's intelligent filtering ensures that critical incidents receive immediate attention while filtering out noise. Enhanced Efficiency Edwin AI transforms how IT teams operate by empowering support staff with AI-driven insights and automating routine troubleshooting tasks. The platform allows Level 1 and 2 support personnel to quickly understand and address complex technical challenges, significantly reducing the time and effort required to resolve incidents. This automation frees up valuable human resources for strategic technological initiatives that drive business innovation. Improved Incident Management Edwin AI revolutionizes incident management through seamless integrations and flexible deployment options. Its native support for multi-tenant environments and compatibility with platforms like ServiceNow ensures that organizations can implement advanced AI capabilities without disrupting existing workflows. Customizable correlation models allow businesses to tailor the system to their unique operational requirements, creating a more responsive and intelligent IT support ecosystem. Follow along in the Edwin AI In Action series to delve deeper into this innovative tool's capabilities!
