Systems | Development | Analytics | API | Testing

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.

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.

Forget OpenTelemetry overhead. Capture every K8s transaction via eBPF with zero manual work. Turn production "gobbledygook" into a perfect staging environment instantly.

Business intelligence should be..intelligent. It should be helpful. It should be powerful and sophisticated, but not complicated. Welcome to the new Yellowfin 9.17 where you can talk to your data and get your data to speak volumes for you. Join us for an exclusive look at Yellowfin 9.17, where analytics becomes more conversational, more responsive, and more aligned with the way real decisions are made.

In Part 3 of this series, we discuss creating a dataset and have a first look at its governance and metatdata layers starting with the Dataset Overview. Stay tuned for more in the series as we continue building powerful Qlik data experiences!

Asked a question in our BearQ livestream? We’ve got your answers. We received 100+ questions during the event and couldn’t get to all of them live, so we pulled together the most common ones and answered them here. In this video, we break down what BearQ can test, how it handles authentication and complex workflows, how the AI works behind the scenes, how it fits into your existing tools, and even how to get early access.

This is one question a banking team can ask Spotter right now, "Which customers are likely to churn based on declining balance activity over the last 90 days?" No ticket to the data team, no waiting on a dashboard build, and no SQL. Just a plain-language question and an answer your retention team can act on today. That's the shift from reactive reporting to agentic analytics. Your data answers back.

Building Internal Developer Tools with a Device Lab API: Sessions, Streaming, Logs, and Automation For years, platform teams have had to choose between costly internal device labs for control or public clouds with limited access. That tradeoff ends with the Real Device Access API, the first solution to treat mobile devices as Infrastructure-as-Code—delivering direct, low-latency access to real devices without framework constraints. See how teams can retire internal racks while running any workflow on fully managed infrastructure they control programmatically.

For our enterprise customers, data isn’t just a resource, it’s the engine for future growth. In this overview, Manuel Calvé (Head of Partnerships at Conduktor) explains why the Cloudera + Conduktor alliance is the "Gold Standard" for the modern data enterprise. By combining Cloudera’s hybrid open data lakehouse with Conduktor’s precision Kafka management, we are enabling industries like Finance and Manufacturing to turn streaming data into a high-trust, revenue-generating asset.

Did you know you can call a Gemini model directly from a SQL query in BigQuery? In this hands-on codelab, Ayo and Annie do exactly that, and use it to solve a real problem: converting messy, unstructured text into clean, structured data at scale. This is Episode 1 of our multi-part series where we build a fully functional, data-aware AI agent on Google Cloud. *What we cover:* Chapters: Speakers: Ayo Adedeji, Annie Wang Products Mentioned: Gemini, BigQuery.