Operations | Monitoring | ITSM | DevOps | Cloud

Every DEX journey starts with challenges—but the real story is in how you overcome them and build lasting impact. In this session, Rebecca Hall and Mark Milano of Eversource will share how they tackled the pain points that initially drove their adoption of Nexthink, from visibility gaps to IT service inefficiencies. They’ll highlight the early wins that built momentum, including key integrations with their ITSM tool and ROI realized through targeted use cases.

Large-scale enterprises like UPS face the challenge of ensuring global employees adopt business-critical HR applications effectively without overburdening IT. In this session, John Hampton, Senior Leader at UPS, will share how his team used Nexthink Adopt to embed in-app guidance, contextual self-help, and proactive reminders, helping employees complete tasks accurately the first time while reducing support dependency in Workday and Cornerstone on Demand. With analytics providing visibility into adoption gaps and user behavior, UPS achieved measurable gains in productivity, accuracy, and employee experience.

Guided by five strategic ambitions—sustainability, experience, innovation, focus, and operational excellence—GSK’s journey with Nexthink has grown from a standard deployment into a dynamic, insight-led philosophy shaping every facet of its workplace experience.

With AirDroid Parental Control, parents can understand how AI is used in homework, spot unusual queries, and help kids build healthier learning habits.

Bad data doesn't announce itself. Datadog Data Observability gives you unified visibility across your entire data stack—from source systems and pipelines to dashboards and AI applications—so you catch silent failures before they cascade. Detect data quality and pipeline issues before stakeholders do, pinpoint root causes with end-to-end lineage, and reduce pipeline costs with job, cluster, and query recommendations.

Tired of noisy alerts waking you up for issues that are not actually impacting your services? In this tutorial, we walk through MetricFire's Composite Alerting capabilities and show how to combine multiple metric conditions into a single high-confidence alert using AND / OR logic. Learn how to: Reduce alert fatigue and false positives Create service level alerts in Graphite Combine CPU, latency, and database metrics into meaningful alerts Use conditional logic to improve signal quality Build smarter observability workflows with Hosted Graphite.

Who really owns your data? Data sovereignty has become one of the defining issues shaping digital infrastructure, cloud strategy and AI adoption. But what does it actually mean, and why has it become a board-level discussion for so many organisations? In Episode 4 of Perspectives from the Edge, Pulsant's Wendy Shearer is joined by Steve Jewell, CEO of Nine23, to explore data sovereignty and its relationship to security, resilience and digital transformation.

Customer interviews are one of the most powerful ways to build better products — but they’re also time-consuming. In this video, Avinoam “Avi” Zelenko, Principal Product Manager at Atlassian, shares how he transformed the way he runs customer interviews using AI automation and Rovo agents. What used to take hours of coordination, note-taking, and manual summaries now happens automatically. By stitching together the Teamwork Collection and Slack, Avi built a workflow that captures conversations, summarizes insights, and shares them across teams in real time.

Azure integration errors can be difficult to diagnose when messages flow across multiple services such as Logic Apps, Service Bus, Azure Functions, APIs, and external systems. Support teams often spend hours searching through logs and correlating events across services just to identify where a transaction failed.

As AI agents become more autonomous, enterprises face a new challenge: How do you secure a workforce that isn't human? In this episode of Agents of IT, Fran Fernandez, Zach Austin, and Ian Coppock explore the growing identity and security challenges surrounding Agentic AI. From permissions and governance to digital identities and access controls, the team breaks down what enterprise leaders need to know before deploying AI agents at scale.