Systems | Development | Analytics | API | Testing

Technology leaders share how they process streaming events end-to-end in sub-second latency, secure sensitive data through immutable and governed pipelines, power secured real-time systems in regulated environments, and enable multi-agent AI systems built on fresh, continuously streaming data.

In 2025, real-time data moved from important to mission-critical. From billion-event pipelines to AI agents reasoning over fresh data streams, the conversations this year revealed just how fast organizations are rethinking their data infrastructure and what’s possible when data streaming becomes the foundation.

Want to see more than 25 companies in your LinkedIn Ads report? In this tutorial, Jason Spooner, Founder of Jars Digital, shares how he uses Databox to unlock the full picture of company-level performance from LinkedIn campaigns. He walks through how to create a custom metric that reveals the real exposure of your campaign, including clicks that fall below LinkedIn's reporting minimum. Perfect for marketers and agencies who want better insight, smarter exclusions, and tighter alignment between ad performance and pipeline results.

Every credible marketing plan needs two models: top-down and bottom-up. Most teams only build one. If you’re building your 2025 plan, start here.

Google Analytics 4 is powerful, but let’s be honest — for many business owners and clients, it’s just overwhelming. In this tutorial, Phil Wiseman from Analytics at Profit shares why he relies on Databox to simplify GA4 reporting for service-based businesses. Whether you're helping clients in the trades (like HVAC, electricians, or plumbing) or just want to present meaningful marketing metrics without drowning in dashboards, this walkthrough will show you how to.

Learn about StudioAssist: "Agent Mode," powered by the new MCP Server. This isn't just a chatbot; it's an AI co-pilot that can directly act on your project to build, troubleshoot, and maintain tests.

AI agents are becoming more autonomous — making decisions, taking actions, and accessing sensitive data — but traditional IAM systems weren’t built for them. How do you secure, control, and audit AI agents in your apps? In this video, Savindi Waduge introduces *WSO2 Identity Server 7.2,* a major release designed to address the security challenges of the AI era. From defining "Identity for AI Agents" to securing the *Model Context Protocol (MCP)* , this update ensures your autonomous systems are secure, accountable, and manageable.

Tired of manually updating your Pact contract tests? Learn how to automate the entire process using AI agents with SmartBear MCP tools and GitHub Copilot! In this video, we walk through how AI-assisted contract testing helps you automatically upgrade Pact tests when new features are added to your API.

That whole Informatica and Salesforce acquisition put your on-prem needs on hold. Good thing Qlik’s data advocate has a powerful post-PowerCenter alternative for you, combining quality, low-cost data tools with expert support. Dingo Data Bingo — it’s time to Do Data Differently.

We’re entering a new era of analytics—one powered by autonomous agents that do the heavy lifting for you. Together, they compress workflows from hours to minutes and unlock a radically simpler way to build with data. This is Agentic AI, designed for builders, analysts, and teams who want to move faster than ever. You + Agents = Super Team.