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C1 Edge Research Reveals 99% of Organizations Are Accelerating Generative AI Adoption to Enhance Employee and Customer Experiences

C1 publishes comprehensive report titled The Era of AI-Powered Connected Human Experience is Underway. The report details how organizations across multiple industries are rapidly integrating generative AI to improve automation, create new products and services, software development, and collaboration.

A Developer's Guide to Continuous Performance Testing

Today’s fast-paced development environments require new approaches to testing. Enter continuous performance testing. Unlike traditional performance testing, automated continuous performance testing is part of every build, monitoring the application continuously under increased load. With continuous performance tests, organizations with lots of users can expect to improve the customer experience, prevent major outages, and find and resolve issues faster.

How to Build an AI Copilot - From zero to hero

Learn how Lumigo created an ai Copilo from an idea into an expert AI-powered observability problem-solver. We'll discuss our early challenges and how we overcame them. Get an insider's look at the systematic improvements we applied, from guiding the model like a junior developer to setting up an evaluation pipeline that allowed us to monitor and scale effectively.

Adding AI to Observability 2.0 for Dynamic Observability

The original premise of observability was to ensure system health, identify issues, and resolve those issues efficiently. As I recently outlined, the legacy approach (sometimes called Observability 1.0 now) relied heavily on metrics and tracing because logs were seen as too noisy or challenging. But, as most forward thinkers have identified now, logs are exactly the telemetry type that we need the most.

Agentic RAG on Dell AI Factory with NVIDIA and Elasticsearch Vector Database

We are excited to collaborate with Dell on the white paper,Agentic RAG on Dell AI Factory with NVIDIA. The white paper is a design reference document for developers outlining strategies and solution components to implement agentic retrieval augmented generation (RAG) applications. It’s a design point for organizations across industries, specifically healthcare, for the agentic RAG framework decision-making with AI-driven data retrieval.

Transform Troubleshooting with Logz.io's AI Agent

As Gartner predicts, AI will support up to 70% of performance monitoring and troubleshooting tasks in the next few years. The Logz.io AI Agent helps teams get ahead of this curve today. Too much time spent troubleshooting? You’re not alone. Manual investigation, jumping between dashboards, and piecing together scattered data are time-consuming and frustrating.

What are the benefits of generative AI for IT?

Can generative AI help improve IT efficiency? Imagine you’re part of an IT team constantly juggling a growing number of support tickets, system issues, and daily maintenance tasks. It can feel like you’re always playing catch-up. It’s a common challenge: Repetitive tasks and troubleshooting waste valuable time, leaving little room for innovation or strategic improvements. Generative AI (GenAI) for IT provides a solution.