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.
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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.
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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.
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Qlik MCP and Snowflake Cortex Code: Automate Building Analytics Reporting

Feb 18, 2026 By Qlik In Qlik
In this step-by-step, demo, we use AI to create master dimensions and master measures, then using Cortex and MCP automate the creation of the Qlik Sense app showing KPIs, tables, and filters—all powered by Qlik MCP & Snowflake Cortex Code. What you’ll learn: Perfect for BI developers, and analytics leaders who want trustworthy analytics. Watch now.
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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.
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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.
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