Systems | Development | Analytics | API | Testing

Who's Responsible When AI Gives You the Wrong Answer? Andy Cotgreave and Francois Lopitaux Debate

If an AI agent gives a business user the wrong number, and a consequential decision gets made off it, who's responsible? The data analyst who built the semantic layer? The platform? Or the business user who asked the question and acted on the answer?

Take a Tour of the Future of Modern PHP Management

Better PHP management has arrived. Introducing the Zend Web Platform, available in both Core and Enterprise editions. Built for modern PHP applications, the platform helps development teams improve security, observability, scalability, and efficiency across their infrastructure. In this walkthrough, we'll explore both editions of the Zend Web Platform, which offer a powerful command center that provides a single pane of glass into the health and performance of your PHP applications. See how it delivers.

Real-Time Fraud Detection with Edge-to-AI | Cloudera Data in Motion Demo

Learn how to build an end-to-end, real-time edge-to-AI data pipeline to tackle critical enterprise challenges like credit card fraud detection. In this demo, Diby Malakar (Product Lead for Data in Motion) demonstrates how to process an average of 5,000 transactions per second in low hundreds of milliseconds to detect fraud instantly. Discover how Cloudera’s Data in Motion suite enables application developers to ingest, govern, and enrich streaming edge data to power instant AI model inference and live analytics.

Top Challenges of Interoperability in Healthcare and How AI Is Helping Solve Them

Healthcare interoperability enables clinical and administrative systems to exchange usable patient information. However, connectivity alone does not ensure accurate interpretation or workflow compatibility. Many of the challenges with interoperability in healthcare have less to do with moving data and more to do with whether the receiving system understands what that data means. FHIR standardizes healthcare data exchange through structured resources and implementation frameworks.

SmartBear MCP for Zephyr: Connect your testing system of record to your AI tools

Your SmartBear Zephyr test data holds the answers you need before you ship: what’s covered, what passed, where the risk sits. That data has always lived one context switch away, behind the Jira UI. The SmartBear MCP Server changes that. It brings your Zephyr test data into any MCP-compatible AI client, so quality keeps pace with how fast your team builds. This guide covers where testing sits in the AI age, what MCP is, and how it unifies data visibility within your Zephyr workflow.

Multiplayer is joining FilingRamp

Four years ago, we started Multiplayer with an ambitious goal: to help teams work better on distributed systems. Since then we've grown to thousands of users, and we reached a milestone I'm especially proud of: open-sourcing our AI debugging agent to put it in the hands of every developer who's ever wrestled with a gnarly bug or waded through PR slop from AI tools. Today I'm excited to share the next chapter: Multiplayer is joining FilingRamp.

Where AI Delivers Real ROI in Brokerage and Listing Platforms

Two AI features can cost the same to build and land on opposite sides of the P&L. Add a chatbot to a listing page, and you get a support-deflection number that plateaus in a quarter. Rework search ranking so a buyer who types “quiet street, near a school, room for an office” gets the right ten homes instead of 400 filtered results, and you move search-to-contact conversion, which sits at the top of every revenue metric downstream.