At-a-Glance-Agenda

Our expansive agenda will include industry keynotes, customer success stories, and technical trainings catered to both seasoned pros and new ScienceLogic users. With topics ranging across our World Class Observability, AI Driven Operations, and Intelligent Automation solutions there will be something for every interest area. And don’t forget, our widely popular Logician’s Lab is back with a wealth of opportunity for engagement and learning.


Be sure to join us for our Welcome Reception on October 5th at 5PM!


Training details coming soon—be sure to save the date for October 8th!



Tuesday October 6
8:00 AM Breakfast and Networking
9:00 AM Welcome
9:10 AM Keynote(s)
10:30 AM Break
11:00 AM Keynote(s)
12:00 PM Lunch
1:00 PM Breakout(s)
4:30 PM Keynote
6:00 PM Customer Appreciation Event
Wednesday October 7
8:00 AM Breakfast and Networking
8:45 AM Welcome
9:00 AM Keynote(s)
10:00 AM Break / Logicians Corner / Side Meetings
12:00 PM Lunch / Logicians Corner
1:15 PM Logicians Corner / Side Meetings
2:30 PM Breakout(s)
4:00 PM Keynote / Final Remarks

Nexus Live Agenda Topics

Building the Observability Foundation for AI-Era Operations 

AI-driven operations start with trusted operational data. This agenda topic focuses on the observability practices teams need before they can scale intelligence with confidence: cleaner telemetry, reduced event noise, stronger service context, dependency mapping and incident workflows that connect signals to service impact. 

Attendees will learn how stronger observability foundations improve decision quality today while creating the operational readiness required for explainable AI, governed automation and more autonomous operations over time. 


From Visibility to Trusted Action 

Modern IT teams do not need more dashboards. They need a faster path from signal to service impact, probable cause and verified resolution. 

This topic explores how organizations are moving from passive visibility to service-aware operational intelligence that supports earlier detection, faster understanding of service impact, reduced investigation friction and action before operational risk becomes customer-visible disruption. 


Operating with Confidence in the AI Era 

AI is raising expectations for IT operations, but it is also raising the cost of uncertainty. Teams are being asked to move faster, automate more and support complex hybrid environments without losing control or trust. 

This topic examines what it takes to make AI useful in real operational conditions: trusted data, service context, explainable recommendations, governance and decision paths teams can validate before they act. 


Preparing for Agentic and Autonomic Operations 

Agentic and autonomic operations are becoming part of the enterprise IT roadmap, but most organizations need a practical path to get there. 

This agenda topic outlines the maturity journey from AI-assisted operations to agentic workflows and increasingly autonomous action. Attendees will explore the requirements that make autonomy trustworthy: unified data models, accurate service context, policy boundaries, approval logic, auditability and closed-loop verification. 


Customer Lessons: What Trusted Operations Look Like in Practice 

The most useful operational lessons often come from teams already managing complexity at scale. 

These customer-focused agenda topics highlight how organizations are using ScienceLogic to improve observability maturity, reduce noise, accelerate triage, strengthen service reliability and move from reactive response toward more preventive operations. The focus is practical: what changed, what worked and what other teams can apply in their own environments. 


ScienceLogic Platform Strategy and Roadmap 

As operations become more service-aware, AI-enabled and automated, platform strategy becomes central to operational confidence. 

Attendees will get insight into ScienceLogic’s roadmap priorities and platform direction across modern observability, AI-driven correlation, service-aware intelligence, governed automation and trusted operational outcomes. The goal is to help teams understand where the platform is headed and how those capabilities support their next stage of operational maturity.