Operations | Monitoring | ITSM | DevOps | Cloud

Mattermost AI Copilot: Accelerating the conversation with LLMs

Hello, Mattermost community! We’re thrilled to announce the release of the Mattermost AI Copilot beta, a groundbreaking addition to the Mattermost platform. This plugin is not just a tool. It’s a way for organizations to deploy artificial intelligence in mission-critical environments — a true game-changer. With that in mind, let’s explore how this plugin will establish new standards in workplace collaboration for Mattermost Enterprise customers.

Analyzing OpenTelemetry apps with Elastic AI Assistant and APM

OpenTelemetry is rapidly becoming the most expansive project within the Cloud Native Computing Foundation (CNCF), boasting as many commits as Kubernetes and garnering widespread support from customers. Numerous companies are adopting OpenTelemetry and integrating it into their applications. Elastic® offers detailed guides on implementing OpenTelemetry for applications. However, like many applications, pinpointing and resolving issues can be time-consuming.

AI Pipeline: Surfing from Concept to Product Reality - SolarWinds TechPod 084

In this conversation, hosts Sean Sebring and Chrystal Taylor talk with Derek Daly, Principal AIOps Product Manager at SolarWinds. He discusses his career journey and the role of AI and machine learning in the company's products. He shares insights into the process of introducing AI and machine learning into product features, the impact of AI on jobs, and the considerations for on-premises vs cloud deployment.

NetOps Expert ep 12: AI/ML and NetOps - A Conversation with EMA

In this episode, I talk to Shamus McGillicuddy, VP of Research at EMA about how IT organizations are improving network management with intelligent systems based on artificial intelligence (AI) and machine learning (ML). Sometimes known as AIOps, these AI/ML technologies are helping organizations optimize their networks, streamline operations, and reduce security risk. We break down his research and get to real use cases that network teams can utilize today.

Using AI-Powered Functional Testing Tools for Faster QA Automation Testing

Software automation testing has changed dramatically in the last several years, with an obvious trend toward automated testing techniques. Although manual testing processes are still an essential part of the testing process, test automation adoption has become more and more important in many situations. The fact that an astounding 97% of application testers have already included automated testing into their processes serves as evidence of this evolution. Developers are using AI-powered functional testing solutions to speed up QA automation testing procedures as they realize how important this trend is.

How to Make the Most of Your Salesforce Value: What to Try to Implement

Nowadays, leading a business means having to do with customer data a lot. Since Salesforce is one of the main on-cloud CRM platforms out there, and chances are that you have already used it and continue to build customer relationships through it, there is huge potential in the system. Uncovering this potential is a part of success, so get ready to collect some new tips on how to better support clients, sell, market, connect with partners, and more.

Large Language Models (LLMs) Retrieval Augmented Generation (RAG) using Charmed OpenSearch

Large Language Models (LLMs) fall under the category of Generative AI (GenAI), an artificial intelligence type that produces content based on user-defined context. These models undergo training using an extensive dataset composed of trillions of combinations of words from natural language, enabling them to empower interactive and conversational applications across various scenarios.

New Release: Integrated GenAI, Enhanced Monitoring, and More

Selector is excited to give a sneak peek into new features to be included in our forthcoming Spring Release. This release highlights key innovations focusing on integrated generative AI (GenAI) to enable guided troubleshooting and automated incident remediation. It also includes enhancements to several existing features, such as root cause analysis, native monitoring, and observability capabilities.