Minimizing churn before it happens with AI
How we utilized all of our customer data to identify churn trends and prevent future loss.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
How to Run a Campaign Post-Mortem With AI: A Worked Example
A marketing director sits down ten days after her campaign closed. Six browser tabs are open: LinkedIn Ads, HubSpot, GA4, Mailchimp, an attribution spreadsheet, and a blank doc that is supposed to become the post-mortem narrative. The meeting is in two hours. She knows something broke in the middle of the funnel (pipeline came in below target), but she cannot prove where or why until she reconciles numbers across all six sources.
Sauce Labs Adds AI-Driven Test Automation Solution to IBM watsonx Orchestrate Catalog
New Sauce Labs Real Device Cloud Agent — available now in the watsonx Orchestrate Agent Catalog — can enable enterprise teams to trigger real-device tests, manage fleets, and validate app quality using natural-language commands.
Qlik and Starburst: The Data Architecture Choice That Unlocks Enterprise AI
There's a pattern we see repeatedly in enterprise AI projects. A team identifies a compelling use case. They build the model. They staff the project. Then they spend the next six to eighteen months trying to solve a problem that was never on the roadmap: their data isn't ready. Not because it doesn't exist. It exists everywhere: in cloud warehouses, on-premises databases, SaaS platforms, and data lakes across multiple regions.
News Analysis 2026: How AI Is Transforming Automated Load Testing for Peak Performance
Automated load testing has reached a turning point in 2026. Artificial intelligence, once a gradual addition, now drives a clear shift in how organizations validate performance. Industry reports project a 15% compound annual growth rate (CAGR) for AI in software testing from 2023 to 2026, underscoring the urgency to modernize testing practices and keep up with rapid development cycles.
New report: We're adopting AI faster than we trust it. Here's what the data shows.
We surveyed 2,501 IT decision-makers, QA professionals, and business leaders across six countries for our second annual Quality Transformation Report. Respondents came from organizations with 150-plus employees across manufacturing, energy and utilities, retail, financial services, and the public sector. One of the major findings: confidence in AI agents making release decisions dropped from 48% in 2025 to 34% in 2026. That’s a 14-point decline in a single year.
Testlio Launches Human-in-the-Loop Testing for AI Agents
New offering enables enterprise customers to validate agentic workflows against a global network of skilled, real world testers before failures become customer, compliance, or brand crises.
Arvix AI
Introducing Arvix AI by Unravel Data An operator. Not an advisor. runarvix.ai About Unravel Data Agentic data platform optimization, powered by an AI engine that continuously optimizes performance, cost, and reliability across Databricks, Snowflake, and BigQuery.
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.