Systems | Development | Analytics | API | Testing

How do you deliver token streams, sync conversation state across devices, and let users interrupt an agent mid-response -- without rebuilding your stack every time you switch frameworks? Mike Christensen demonstrates Ably AI Transport in action, walking through the key primitives every production AI application needs and showcasing a multi-agent holiday planning app built on those primitives. Topics covered.

Stop living in the past. See how to use real production traffic to automate your API testing with zero code changes. Replay real-world patterns in your CI/CD and catch regressions before your users do. Learn more: speedscale.com.

Cortex Code is not more widely available and ready for bigger tasks with the lates updates. e. This announcement brings four major updates: Cortex Code in Snowsight is now generally available interface; the CLI now supports native Windows environments; Agent Teams make it easier to break large assignments into coordinated parallel work; and new agent skills standardize how Cortex Code helps build on data.

TS Imagine eliminated 6,000 hours of effort in customer inquiry handling while increasing speed by 10 times. Using AI has resulted in a five-fold increase in developer productivity; for example, a data engineer's output increased from three pull requests per two-week cycle to fifteen.

Are your AI initiatives stuck in pilot mode? Siloed data, disconnected tools, and compliance a constant headache? Sending sensitive data to the cloud for model training is a non-starter, especially for regulated industries. Cloudera AI changes the game. Cloudera is the only data and AI platform that delivers the secure cloud experience anywhere—public clouds, data centers, and the edge. We provide the foundation you need for real AI, real scale, and real business impact—without ever giving up control.

As data becomes central to every decision, simply delivering dashboards is no longer enough. Today’s users expect insights to appear directly within the tools and workflows they already use - especially on mobile. Join Yellowfin, and their partner AIGS Insights, for this webinar replay: How to Build Embedded Analytics into Applications. They explore how context-aware embedded analytics can transform mobile experiences by delivering the right insights at the right moment.

95% of AI projects fail. Is your "tech-first" mindset to blame? @wharton’s Stefano Puntoni breaks down the Human-AI gap with podcast host Cindi Howson on.

In this episode, Jase chats with Marios Michaelides, Engineering Director at Virtuos Labs, one of the largest co-developers in the world. Marios shares hard-won lessons from working across multiple AAA projects—and reveals how his team built tools to prevent the performance disasters that derail schedules and burn out developers. Here's what you'll learn: Why co-developers are building more tools than ever before—and how proprietary-to-commercial engine migrations are driving this shift.

AI isn't failing because the models are weak. It's failing because the data beneath them is broken. 88% of AI pilots never make it to production. 74% of companies haven't seen value from AI. The uncomfortable truth? These failures aren't about intelligence—they're about access, governance, and context.

Missed the live event? Here’s a quick look at what we unveiled. AI has fundamentally changed how applications are built, creating a growing gap between development velocity and your ability to validate what’s being built. That’s why SmartBear delivers application integrity for the AI era – ensuring continuous, measurable assurance that your software just works as intended, with governance to operate at AI speed and scale.