Systems | Development | Analytics | API | Testing

rainforest

AI software testing tools: What actually works

Feb 19, 2026 By Lauren Harold In Rainforest
The right AI tools make all the difference in QA testing AI has officially entered every corner of software testifng. The hard part now is figuring out which tools and features actually save time, speed releases, and (most importantly) improve quality outcomes. According to a recent survey from Test Guild, 72.8% of testers are prioritizing AI-powered QA for 2026. This includes tools that handle test planning, test management, test writing, and even analyzing test results. Contents Toggle.
Read Post
iguazio

Using Agentic Frameworks to Build New AI Services

Feb 18, 2026 By Alexandra Quinn In Iguazio
The original promise of AI was that it would write most of the code for us. In reality, we’re not there yet. So where can AI meaningfully improve developer productivity today? In this post, we look at how AI powers development productivity across the SDLC, practical tools to use and frameworks for overcoming AI operationalization bottlenecks.
Read Post

Automate Qlik App Dev with Snowflake Cortex Code (GA) + MCP | AI Demo

Feb 18, 2026 By Qlik In Qlik
See how to supercharge analytics development with Snowflake’s Cortex Code (CoCo) and Qlik’s Model Context Protocol (MCP). In this demo, we auto-generate master dimensions and measures for the Qlik app using AI—showing how Qlik and Snowflake work together to accelerate trusted analytics. What you’ll learn: Perfect for data engineers, BI developers, and analytics leaders who want to move from raw data to reliable insight—faster.
View Video
WSO2

Transforming Customer Support with an AI-Powered Troubleshooting Agent

Feb 18, 2026 By Sasindu Alahakoon In WSO2
A global leader in entertainment, gaming, and hospitality partnered with WSO2 to take the organization’s first step to becoming an agentic enterprise by building an intelligent solution that would transform how support teams operate. The solution, a virtual support engineer, automated a manual issue resolution process and reduced resolution times from 2 hours to 1 minute, helping to provide a better support experience for both customers and internal operations teams alike.
Read Post

Don't DIY Your AI: How MDaudit Scaled Smarter with ThoughtSpot

Feb 18, 2026 By ThoughtSpot In ThoughtSpot
​@MDauditSoftware did it by swapping "data babysitting" for ThoughtSpot. After 6 years, they’ve unlocked a "shadow workforce" that handles the tech so the team can focus on growth. The Result: Total operational independence Zero maintenance, more innovation Strategic agility at scale Stop DIY-ing your AI.
View Video
thoughtspot

Reimagine Data Prep for the Agentic Era with Analyst Studio

Feb 18, 2026 By Anjali Kumari In ThoughtSpot
One year ago, we introduced Analyst Studio, ThoughtSpot’s unified workspace for preparing and managing AI-ready data, with a vision: to transform analysts from report generators into business catalysts. SQL, Python, and visual analysis finally worked together in one workspace, letting data teams move seamlessly between ad-hoc queries and advanced modeling, all while preparing data for the AI revolution we knew was coming.
Read Post

Beyond the AI Hype: Why Data Management is the Real Secret to 2026 Financial Services Success

Feb 18, 2026 By Cloudera, Inc. In Cloudera
Many financial institutions are finding that improving education isn't enough to solve their data management struggles. It’s time to move from “proof of concept” to “intelligence orchestration.” The gap between AI experimentation and real-world ROI is widening. In this video, we break down why a robust, proprietary data foundation is the only way to scale AI safely and effectively. We explore why financial services must move beyond public data and focus on unique, high-value data assets to create a true competitive advantage.
View Video

Copyright © 2026 OpsMatters™. All rights reserved.