Systems | Development | Analytics | API | Testing

Introducing Agentic Warehouse and Reliable Analytics Powered by Centerprise AI

Centerprise AI combines agentic warehouse construction, governed data pipelines, and conversational analytics in a single platform, eliminating the multi-tool sprawl that has slowed enterprise data teams for years. Centerprise AI’s agentic data warehouse and analytics module take organizations from raw source data to live analytics dashboards through a conversational interface.

Automate project intake with multi-agent AI using MCP, Google ADK, Cloud Run, and BigQuery

Check out the repo here. Manually vetting hundreds of project requests is a thing of the past. Imagine receiving every proposal with a built in risk score, resource check, and "Go/No-Go" recommendation—delivered in seconds. Join Kevin Blanco as he demonstrates how to build a powerful multi-agent system that seamlessly integrates Google Cloud and Asana. Watch along and see a real world example of automating an infrastructure request, returning instant historical pattern analysis and live workspace context without any manual steps.

AI and Machine Learning in Healthcare Data Analytics: Use Cases, Architecture & Implementation Guide

Healthcare is sitting on a paradox. As per healthcare analytics statistics 2026 It generates more data than any other industry, nearly 30 percent of the world’s total data, yet 97 percent of hospital data still goes unused. That gap is exactly where AI and machine learning in healthcare data analytics are changing the game. We are no longer talking about dashboards or retrospective reports.

Approaching how we adopt AI for test: Exploring Xray's AI Test Case Generation

At Assurity Consulting, our experts are deeply experienced in leveraging a variety of industry-leading Test Management tools, with Xray for Jira being a prominent example in our toolkit. Our commitment, however, extends beyond proficiency in a single platform. Our core approach is fundamentally tool-agnostic, meaning we prioritize the client’s unique context, goals, and technological ecosystem over allegiance to any specific vendor or solution.

QMetry walkthrough: Test management, automation & AI-powered testing

Discover how QMetry streamlines test management with this comprehensive walkthrough covering requirements management, test design, test execution, automation, reporting, and AI-powered productivity features. Struggling with disconnected testing processes, manual test execution, and limited visibility into quality across your software development lifecycle? This complete QMetry tutorial shows testers, QA teams, and engineering organizations how to manage the entire testing workflow in a single platform, from requirements to release.

Your AI agent is fixing the wrong service

Everyone wants an AI agent factory in 2026. Autonomous agents fixing bugs and shipping features while you sleep. I’ve been building toward that myself. But the error rates don’t support the fantasy. The best AI coding agents in the world fix about 50% of real bugs on SWE-bench verified. Half the time they fail. And AI-generated code produces 1.7x more issues than human-written code.