Systems | Development | Analytics | API | Testing

Understanding AI Observability: Improve Efficiency, Security & Costs

In this video, Jason Mattis breaks down the fundamentals of AI observability, explaining its crucial role in managing and optimizing generative AI systems. Learn about the three core pillars—data monitoring, model explainability, and diagnostics—and how mastering these can help your organization ensure data privacy, maintain model accuracy, manage costs, and enhance overall AI performance.

Modernizing Commercial Real Estate - With Jonathan Iger, CEO of Sage| The Innovation Blueprint

In this episode of the Innovation Blueprint Podcast, we talk with Jonathan Iger, CEO of Sage Realty Corporation, a design-driven, vertically integrated real estate investment and management company. This episode examines the modernization of commercial real estate through branded office experiences, innovative property management, and the strategic application of technology and AI.

What's the Hype Around Multi-Agent Systems in AI?

AI is evolving fast. But if we want it to truly solve real-world problems, we need to stop thinking of it as a single brain and start building it like a team. That’s where Multi-Agent Systems come in. Instead of relying on one large model to do everything, we’re now designing AI agents with specialized roles that collaborate, delegate, and execute tasks together, just like high-performing human teams.

Detailed guide to flower delivery app development like Floward

Ever thought a simple bouquet could turn into a booming business? Well, we do live in a world where convenience is currency. One tap, and your food’s on the way. Another, and your living room’s getting cleaned. From Urban Company to DoorDash, on-demand delivery apps have gone from luxury to a basic lifestyle. And it’s not just about meals or household fixes anymore.

Develop and Secure Remote MCP Servers with Asgardeo and Cloudflare

The Model Context Protocol (MCP) is an open standard designed to overcome the inherent limitations of large language model (LLM)-powered agentic applications. While these agentic applications excel at reasoning, summarizing, and content generation, they are fundamentally disconnected from the real world. They cannot access live data, interact with private systems, or execute tools on behalf of users.

5 Steps to Immediately Reduce Kafka Cost and Complexity

Kafka delivers massive value for real-time businesses — but that value comes at a cost. As usage grows, so does complexity: more clusters, more topics, more partitions, more ACLs, more custom tooling. But it doesn’t have to be that way. If your team is managing Kafka at scale, here are five concrete steps you can take to immediately reduce cost and operational complexity — without sacrificing performance.

Tricentis unveils three major steps in AI-powered software testing

Tricentis has just introduced three industry-first innovations that mark a major leap forward in autonomous software testing. Whether you’re already using Tricentis solutions or exploring smarter ways to scale your testing strategy, these advancements unlock a new level of flexibility, intelligence, and productivity for enterprise software quality.