Systems | Development | Analytics | API | Testing

EP 67 | The "Wobbly" Nature of AI: Governing an Unpredictable Technology

AI governance is the Achilles heel of most enterprises. As organizations accelerate AI adoption, boardrooms face urgent questions about cybersecurity, compliance, resilience, and regulatory risk. In this episode of The AI Forecast, Paul Muller meets with Shoshana Rosenberg, author of “Practical AI Governance: Building a Program for Oversight and Strategy,” and creator of the Prism AI Governance Framework, about how leaders can build adaptable AI governance programs that strengthen their resilience to this susceptibility.

Why SaaS is Dying (and what's next) #speedscale #saas #data #datasecurity #devops #technews

Traditional SaaS is a data trap. It’s time to stop sending your most valuable asset to third parties. Enter BYOC (Bring Your Own Cloud): the future of data sovereignty, where the software comes to you. Visit: speedscale.com.

Your KPI Spiked Overnight? Here's How to Find the Real Cause in Minutes

Two KPIs spiked during monthly client reporting — and there was no obvious reason why. Normally, that means 30 to 60 minutes of logging into multiple integrations, checking channel breakdowns, reviewing landing pages, and trying to manually piece together the story. Instead, Gary Magnone connected Databox to Claude through MCP and asked a simple question: where is this coming from? Within minutes, the analysis.

How SecurityScorecard Put Confluent at the Center of Everything | Life Is But A Stream

What happens when a security intelligence company decides that data contracts aren't optional, they're the foundation? For SecurityScorecard, that decision changed everything: how teams share data, how pipelines are built, and how quickly a new engineer can ship production-grade work on day one.

Turn test data into release insights with AI | SmartBear MCP for Zephyr

Testing teams need to know if they’re ready for a release. Getting answers within Jira, however, often means jumping between multiple screens and reports. In this demo, see how you can query your test data with SmartBear MCP for Zephyr to get insights directly from your testing system of record, so you can make faster, more informed release decisions. From within AI tools like Copilot, Claude, or VS Code, you’ll learn how you can.

AI test automation with full visibility | Qmetry + Reflect integration

In this demo, you’ll see how Reflect and QMetry work together to connect automated testing with test management. In this short walkthrough, test execution from Reflect flows directly into QMetry, giving your team better visibility, reducing manual effort, and helping you move faster without losing control of quality. If you’re looking to scale testing while keeping everything organized and traceable, this integration is built for you.

Podcast Highlight: AI agents are your new team -- now what? #Cloudera #Short #tech #Fyp

We're witnessing the rise of the multi-sapien workplace with humans working alongside AI agents. Tune into The AI Forecast to hear by agentic AI needs to be managed like human teams. This conversation goes beyond technology; Tatyana also reflects on leadership and representation in tech, challenging assumptions about opportunity, and exhibiting why diverse ways of thinking are critical in an AI-driven world.

Is OpenTelemetry overkill? There's a lazier (and better) way. #speedscale #sre #ebpf #kubernetes

If you "aspire to be lazy" like we do, you know that building staging environments and mocking complex back-ends (like MySQL, AI models, and 3rd party APIs) is a massive time sink. In this demo, we show you how to use Internet Magic (aka eBPF) to: Stay tuned for Part 2, where we take these recordings and spin up a staging environment automatically.