Operations | Monitoring | ITSM | DevOps | Cloud

AI Replay Summaries in Sentry Arrive!

Replays in Sentry are awesome. With one property in your Sentry config you can start capturing video-like replays of user interactions with your application, but the problem is... you still have to watch them... but not anymore! AI replay summaries take your replays and run the events through an LLM to summarize the events that happened in them. They are broken up into chapters, with the breadcrumb sequences embedded in, so you can quickly get context of whats happening in every replay.

Manual vs. AI-Driven Alert Triage and RCA: Who Will Win?

Curious to see how AI actually performs in a real-world production scenario? Watch the webinar “AI-Driven Alert Triage and RCA” with Logz.io Customer Success Engineer, Seth King. Below, we also bring the main highlights of the webinar. AI claims to make engineers more efficient and agile, by shortening processes and surfacing insights that help drive decisions.

How AI Receptionists Help Solo Dentists Stay One Step Ahead

Running a solo dental practice isn't just about fillings and fluoride. You're not only the clinician but also the admin team, the scheduler, the marketing department, and sometimes, the IT support. When the waiting room's quiet, you're chasing follow-ups. When it's busy, you're mentally juggling which voicemail needs a callback first. It's no surprise that many solo dentists feel like they're one missed call away from burnout.
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AI realism (part one)

Emotions are running high about AI technologies. In this 2-parter, I do my best to make a rational case on the reality of AI, and how we can respond to it. This is part one; part two next week. We seem to be struggling to have pragmatic discussions about advancements in Artificial Intelligence. It's hard to hear calmer voices over the detractors and breathless enthusiasts. Today, I want to make a reasoned, evidence-based case for the potential of this technology, glance at present and future applications, and offer some practical examples for implementing AI within an organization.

Coralogix becomes first observability vendor to earn ISO/IEC 42001:2023 certification for responsible AI

We’re proud to announce that Coralogix is now officially ISO/IEC 42001:2023 certified, becoming the first observability vendor to achieve this globally recognized standard for responsible AI management. ISO/IEC 42001:2023 is the world’s first international standard for Artificial Intelligence Management Systems (AIMS). It provides a comprehensive framework for how organizations should govern AI, focusing on transparency, ethical use, accountability, and regulatory compliance.

AI in IT: Great! Now What the Hell Do You Do with It?

The demand for organizations to minimize downtime, swiftly address issues, and proactively manage the infrastructure has never been greater. But how can teams be expected to meet that challenge with legacy tools and approaches? Enter Zero Ticket IT, a transformative approach where AI-driven automation eliminates traditional ticket bottlenecks, empowering IT teams to focus on innovation and strategy. But how do you know if your team is truly ready for this transformative leap?

Leaning into AI, ML, and observability to manage your ever-growing infrastructure

The complexity and scale of modern infrastructure requires an equally intelligent set of observability tools to effectively monitor it. Remember when scaling meant ordering new servers and racking them in a data center? Remember when cloud providers first offered access to seemingly infinite virtual machines at the click of a button? Remember when Kubernetes made it trivial for infrastructure to automatically scale itself based on demand?

AI-Driven Risk Analysis in Seconds #AI #itsm

IT changes can be challenging. Hidden risks, costly mistakes. In Alloy Navigator, you’ve got an AI-driven risk analyst that tears through past tickets and mines your knowledge base, delivering risk analysis and tailored recommendations for every change — in seconds. Now everyone on your team has a personal Mentat, a strategic sidekick that turns data into sharp insight. In this short video, we used gpt-4.1-mini for completions and text-embedding-3-large for generating embeddings from OpenAI.

Unifying Autoregressive and Diffusion-Based Language Models

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community. In this presentation, Pierre-André Noël will show that, if you squint hard enough, autoregressive language models are a special case of diffusion models. We make this idea more concrete by introducing hyperschedules, allowing different token positions to get different noise levels.

The Innovation vs. Control Syndrome: Unlocking Enterprise AI's Full Potential

From optimizing supply chains to personalizing customer experiences, artificial intelligence and machine learning models are no longer statistics-based revenue initiatives; they’re foundational to modern business strategy. Organizations are pouring resources into developing and deploying AI, driven by the promise of unprecedented efficiency, insight, and competitive advantage. Yet, beneath this surging wave of innovation lies a growing tension: the Innovation vs. Control Syndrome.