Operations | Monitoring | ITSM | DevOps | Cloud

The Importance of Accurate Data to Get the Most From AI

The IT service community is rightly buzzing about the wealth of possibilities AI offers to automate service management operations and better assist customers — especially in this age of expanding Everywhere Work. But without sound data, the path to leveraging AI for IT service management becomes quite daunting. With so many more people working outside a traditional office setting, more end users than ever are logging in more often to access employee services.

Is Artificial Intelligence for Infrastructure and Operations really just Intelligent Automation?

Artificial Intelligence (AI) tools have the potential to revolutionize IT infrastructure and operations (ITOps) by automating routine tasks, enhancing system reliability, and improving efficiency. However, the term “Artificial Intelligence” can sometimes be misleading in this context. A more accurate description might be “Automated Intelligence” because these tools often automate predefined tasks and processes rather than exhibit true cognitive intelligence.

The Impact of AI on Data Accuracy

Decomplexify Your Everything Chrystal Taylor and Jeff Stewart The increasing complexity of IT means new skills are always needed to keep up and stay relevant, but acquiring new skills takes time. Having the right set of tools is essential for success. In this session, we'll break down how to decomplexify and what the heck that means. It's time to consolidate what can be consolidated, break down barriers, reduce waste, and manage the madness.

What is Business Consulting? Starting A Consulting Business With Software & Workflow AI

Business consultants are leveraging software and workflow AI to radically elevate service delivery. ‍ According to a survey by Hinge Marketing, the top three reasons businesses hire consultants are to (70%) access specialized expertise, (52%) gain an outside perspective, and (44%) supplement internal resources.

Real World Observability AI: An Interactive Chat with Logz.io IQ Assistant

Deep dive into the different use cases and applications for Logz.io IQ Assistant. See how Logz.io's AI-based observability insights are enabling teams to efficiently and effectively tackle common observability hurdles including rising costs and troubleshooting times.

Remediate Google Cloud issues with new actions in Workflow Automation and App Builder

Datadog Actions help you respond to alerts and manage your infrastructure directly from within Datadog. This can be done by creating workflows that automate end-to-end processes or by using App Builder to build resource management tools and self-serve developer platforms. With more than 550 available actions, Datadog Actions offers capabilities such as creating Jira tickets, resizing autoscaling groups, and triggering GitHub pipelines.

Observability for LLMs

So, your company uses LLMs? You’re not the only ones. A survey by Gartner in October 2023 revealed that 55% of organizations were piloting or releasing generative AI projects, and it’s safe to assume that this number has increased since that survey was published. From personalized recommendations in e-commerce, to automated grading in education and fraud detection in finance, LLMs have helped many organizations level up.

The Second Principle of AI by Design: Accountability and Fairness

SolarWinds has launched AI by Design, a set of guiding principles for integrating artificial intelligence (AI) into our IT management solutions. In the third article in our series exploring this dynamic framework, we’ll examine how SolarWinds places Accountability and Fairness at the center of our strategy for ethical AI. Let’s get started.

LLMs can learn self-restraint through iterative self-reflection

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. This session features Alexandre Piché's recent work on reducing hallucinations with the ReSearch algorithm: an approach based on iterative search and self-evaluation to produce more factual generations.