Systems | Development | Analytics | API | Testing

AI-powered testing, built for Jira: discover Sembi IQ

At Xray, powered by Sembi, we believe the next era of software quality will be shaped by intelligence, not just automation. Today, we're proud to introduce Sembi IQ, Sembi’s new AI platform built to help QA, development, and security teams deliver better software, faster. Sembi IQ is designed to work across the entire Sembi portfolio, including Xray, infusing intelligence into the tools teams rely on daily. This isn’t just an add-on or a buzzword-driven initiative.

Kong Konnect: Introducing HashiCorp Vault Support for LLMs

If you're a builder, you likely keep sending your LLM credentials on every request from your agents and applications. But if you operate in an enterprise environment, you'll want to store your credentials in a secure third-party like HashiCorp Vault or IDP provider and have the infrastructure inject the credentials for you dynamically.

Unlocking Seamless AI: ClearML's Model-as-a-Service Delivers One-Click LLM Deployment with Unrivaled Control

By Erez Schnaider, Technical Product Marketing Manager, ClearML The promise of artificial intelligence, particularly with the advent of LLMs, is transformative. Organizations are eager to harness this power, integrate AI into their products, and automate complex processes in order to materialize the lofty promises of generative AI – efficiency, deep domain knowledge, and a competitive edge.

ThoughtSpot is a Leader in the next era of Agentic Analytics and BI

For too long, businesses have been adrift in a sea of static dashboards and colorful visualizations, mistaking activity for insight. They call it business intelligence, but in reality, it's just more noise. These legacy dashboards are inherently unintelligent; they might answer your first question, but they immediately force you to create ten more dashboards to get subsequent answers. It’s a vicious cycle of dashboard sprawl, not true intelligence.

Understanding AI Observability: Improve Efficiency, Security & Costs

In this video, Jason Mattis breaks down the fundamentals of AI observability, explaining its crucial role in managing and optimizing generative AI systems. Learn about the three core pillars—data monitoring, model explainability, and diagnostics—and how mastering these can help your organization ensure data privacy, maintain model accuracy, manage costs, and enhance overall AI performance.