Operations | Monitoring | ITSM | DevOps | Cloud

The Difference Between Keeping Up and Catching Up

It is common to find two organizations running the same platform, staffed by people of similar skill, operating under comparable budgets, and arriving at completely different relationships with the technology they depend on. For enterprise IT teams, this often shows up in how they manage platform releases, integrations, upgrades, and ongoing maintenance.

Inside the Gartner Market Guide for CSP Service and Network Assurance Solutions: Agentic AI and the Foundation It Runs On

Most CSP assurance roadmaps now carry an AI line item. Fewer have a clear answer for what that AI actually runs on. Over the past year, the working question across operators and vendors has narrowed to something practical: how to put agents to work in assurance while keeping operators in control.

Making AI (net)work: tips for a successful AI-integrated network by Jason Gintert | AIFNL

AI in network operations has moved past the demo. In some shops it's already cutting detection time and clearing the alert noise that used to bury the engineering team. In others, a promising rollout has quietly stalled the moment it met production. That difference between the two rarely comes down to the model, it comes down to how the AI gets integrated into the network and most importantly, the team around it.

Built to amplify: how Lumen is rethinking teams and technology in the AI era by Greg Freeman | AIFNL

Last year, Lumen shared its AIOps roadmap. This year: two updates. First, how Lumen's thinking on AI-era org design has shifted — including why the instinct to cut junior headcount is a trap, and what sustainable team structures look like instead. Second, what Lumen built as a result: a single AI core (AskGreg) extended into a customer-facing email agent (NORA), a chatbot, and an in-progress voice agent — all leveraging the same modular platform. Live video demos show the system diagnosing network problems from alarm data and driving real-time network decisions. The closing thesis ties it together.

Automate Your Entire Incident Response with Skylar Automation

See how Skylar Automation transforms incident response by orchestrating workflows across the tools your teams already use. In this demo, watch Skylar Automation respond to a critical service degradation by automatically creating a ServiceNow incident, paging the on-call engineer in PagerDuty, notifying the Microsoft Teams operations channel, and keeping updates synchronized across platforms. With Skylar Automation, teams can.

Geographic Maps in Skylar One

Geographic Maps in Skylar One give IT teams a faster, more intuitive way to understand infrastructure and service health across distributed environments. In this walkthrough, Brian Harding, Director of Product Management at ScienceLogic, demonstrates how to create and configure a Geographic Map in Skylar One. See how to create locations, align devices and services, use filters to control what appears on a map, and visualize infrastructure health based on real-world locations.

Location Management in Skylar One

Location Management in Skylar One gives IT teams a centralized way to create, maintain, and organize location data, building the foundation for trusted geographic visibility across distributed environments. In this walkthrough, Brian Harding, Director of Product Management at ScienceLogic, demonstrates how to create and manage locations in Skylar One. See how teams can define locations, associate them with the right organizations, and use accurate latitude and longitude data to establish the geographic context needed for devices, services, and Geographic Maps.

AI Agents Need Guardrails: Building Autonomous IT with Resolve Agent Lab | Agents of IT

AI agents are moving fast. For enterprises, the bigger question is how to make them useful, trusted, and safe enough to take action. In this episode of Agents of IT, Zach Austin and Ian Coppock unpack what it takes to move from experimenting with AI to operationalizing agentic AI across the enterprise. They explore why organizations are racing to deploy AI before defining the problems they want to solve, why governance and scoped responsibilities are critical, and why the real value of AI comes from fixing and orchestrating the workflows underneath it.

Introducing the next generation of the BigPanda AI Incident Assistant

Effective incident response depends on having all of the context surrounding what’s happening. You have to understand your systems, services, architecture, and teams deeply enough to correctly interpret whatever alert just fired. Too often, that context doesn’t arrive packaged neatly in one place. Gathering and interpreting context correctly under time pressure is one of the most difficult parts of the job.

What data sources does agentic ITOps use

Agentic IT operations have arrived. It’s no longer a question of if enterprise IT departments will adopt agentic ITOps, but how quickly. The question we hear most often at BigPanda isn’t “what are agentic ITOps,” it’s “what data do we actually need to get started?” That’s the right question to ask. Agentic AI is only as good as the data and context that feeds it. Real-time observability and telemetry data from machines. Structured ITSM and workflow records.

The Most Important Improvements Are Often the Ones You Never See

When organizations evaluate software platforms, attention naturally gravitates toward visible outcomes. New capabilities, expanded functionality, improved user experiences, and innovative technologies often dominate conversations about platform value. These improvements are important because they directly influence how teams interact with technology and how organizations achieve business objectives.

Best IT Orchestration Tools for ITSM: 5 Platforms Compared

What are the best IT orchestration tools for ITSM? Compare Resolve, ServiceNow, PagerDuty, BigPanda, and Splunk ITSI across workflow automation, governance, integrations, alert correlation, incident response, and enterprise scalability. In this video, you’ll learn: These platforms are not identical. Resolve focuses on orchestrating workflows across systems. ServiceNow centers automation around ticketing and CMDB governance. PagerDuty specializes in incident response. BigPanda focuses on event correlation and triage, while Splunk ITSI provides service intelligence and event analytics.

An Agent Is Only as Good as the Baseline It Reasons Against

Every vendor in networking has an agent story right now. The useful question for an operations leader is which of those agents can plan, act, and verify against a trustworthy model of the network, and which are assistants that retrieve and suggest, then leave the decision to a person. The direction of travel is settled.

Why Staying Current Makes Modernization Easier

Most organizations don’t experience modernization as a single initiative. It unfolds over months and years, through a series of decisions made as technology shifts, business needs change, and operational demands grow. Teams adopt new capabilities, automate manual work, sharpen visibility, and strengthen security. These efforts look independent, but they share one requirement: a platform foundation that can keep up with continuous change.

How Insight Is Transforming Managed Services in the AI Era

How will AI reshape managed services? The next chapter of managed services won't be measured by how fast teams react to alerts, but by how well they anticipate and prevent them. ScienceLogic CEO Dave Link and Paul Neiswinger, VP of Global Managed Services at Insight, a leading Solutions Integrator that helps clients solve technology challenges by combining the right hardware, software, and services, discuss the shift from reactive operations to proactive, outcome-driven service, and what it takes for leaders to get there.