Systems | Development | Analytics | API | Testing

Perfecto AI for Retail Application Testing

Experience how Perfecto AI redefines retail application testing in this in-depth demonstration. Discover how our agentic AI navigates complex, real-world scenarios that challenge traditional test automation, such as discovering, installing, and validating retail apps across multiple countries and languages simultaneously. In this video, you will see: Transform your retail testing strategy with a platform that thinks, adapts, and executes beyond the limits of traditional scripting.

Demo: Build An AI Meeting Coach With Flink SQL, OpenAI, & Confluent

Learn how to build a real-time meeting coach system that uses Confluent's data streaming platform, Apache Flink SQL, and Azure OpenAI to provide sales teams with timely, contextual advice. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, demonstrates the system's architecture, key components, and how it leverages company knowledge documents to enhance sales conversations.

IAM for Agentic AI : Episode 01 - Identity, Evolved for AI

In this inaugural video of our new series, Geethika Cooray, VP & GM of Identity and Access Management at WSO2, introduces the critical and evolving concept of IAM for Agentic AI. As generative AI continues to advance, so does the complexity of AI agents acting on our behalf or on their own. Discover why traditional IAM might not be enough to secure these powerful autonomous agents and learn about WSO2's vision for treating AI agents as first-class entities. Geethika also announces the launch of new agentic AI security capabilities in Asgardeo.

Week 4 CFO Masterclass: How AI Is Revolutionizing Finance Teams w/ Real Examples

Discover how AI is transforming finance teams with real-world examples! Learn how automation reduces errors, strengthens compliance, and enhances job satisfaction in finance workflows. In this preview of our full blog, you'll see: Watch the full video and read more at InsightSoftware’s blog: “How AI Is Revolutionizing Finance Teams (With Real Examples)” — explore how AI is reshaping the finance function today.

Ep 36 | Rebuilding AI from the Ground Up with Val Cook

When AI needs to think faster, the architecture beneath it matters more than ever. Val Cook, Chief Software Architect at Blaize, joins The AI Forecast to unpack how today’s AI systems demand more than raw compute, but more adaptable infrastructure. He and host Paul Muller explore the critical intersection of hardware and software, the growing importance of data flow machines, and the limits of traditional architectures in real-time environments.

The Role of the Human: How to Build HITL into Agentic QA

TL;DR: In agentic AI systems, unpredictable behavior, contextual nuance, and subjective judgment make full automation impossible — and that’s not a failure. Human-in-the-Loop (HITL) testing isn’t a step backward; it’s a safety net and learning engine. From reviewing ambiguous outputs to approving high-risk actions, strategic human involvement helps catch what automation misses.

The New Standard for AI-Driven Decisions

The strategy is strong, but the insight you need—clear, live, decisive—is missing. It’s buried in dashboards. Stuck in backlogs. Trapped inside tools that promised acceleration, but only slowed you down. We were told things would be different. That self-service would finally work. That AI would bring clarity. That decisions could move at the speed of business. But the promise fell short. You invested in business intelligence. What you got was a backlog.

From Science Fiction to Factory Floor: The Physical AI Revolution Takes Shape

The robots we imagined in science fiction are no longer fiction. They’re optimizing power grids, managing transportation networks and supply chains, and transforming manufacturing floors. The question isn’t whether AI will reshape these and other industries. Rather, it’s how quickly organizations can bridge the gap between digital intelligence and physical reality to be among those leading the charge.

Performance Under Pressure: Why AI Gateways Matter for Real-Time AI

Real-time AI is transforming how businesses operate, from faster decision-making to improved customer experiences. But to handle the speed and complexity of real-time data, enterprises rely on AI gateways. AI gateways act as intermediaries, ensuring smooth, secure, and scalable communication between AI models and enterprise systems. Here's why they matter: Speed: They process and route data instantly, critical for industries like finance, healthcare, and logistics.