Systems | Development | Analytics | API | Testing

AI can write a feature in seconds, but where are you testing it? Sending production traffic, API payloads, and auth headers to a third-party SaaS is a massive security risk. In this video, we break down why the Bring Your Own Cloud (BYOC) model is the ultimate fix for DevSecOps. Learn how to safely test AI-generated code against real production traffic entirely within your own VPC or Kubernetes cluster. No data leaks, no massive DLP pipelines, and no endless masking rules.

Introducing Arvix AI by Unravel Data An operator. Not an advisor. runarvix.ai About Unravel Data Agentic data platform optimization, powered by an AI engine that continuously optimizes performance, cost, and reliability across Databricks, Snowflake, and BigQuery.

Watch how a VP of Sales could start the day with their AI work agent: a shared dashboard, Deep Research, a Slack to the field and a meeting-prep Skill turned into a weekly Automation.

Your logs showed 500 errors. The traces showed the dependency graph. Neither showed the actual bug, a DEL control character getting appended to the query string. This is how I found it. In this video I walk through Speedscale BYOC (bring your own cloud): capture real production traffic, store it in your own Elasticsearch cluster inside your VPC, pull it down locally with a single script, and reproduce the exact bug using proxymock. The data never leaves your environment.

AI governance is already struggling to keep pace. Add quantum computing and space infrastructure, and the challenge becomes exponentially harder. In this episode of The AI Forecast, Paul Muller sits down with technology governance specialist and researcher Preetha Bedi to explore the growing convergence between AI, space, and quantum technologies—and why this nexus is creating entirely new categories of systemic risk.

Discover how QMetry streamlines test management with this comprehensive walkthrough covering requirements management, test design, test execution, automation, reporting, and AI-powered productivity features. Struggling with disconnected testing processes, manual test execution, and limited visibility into quality across your software development lifecycle? This complete QMetry tutorial shows testers, QA teams, and engineering organizations how to manage the entire testing workflow in a single platform, from requirements to release.

In today's operational and regulatory climate, achieving long-term business resilience hinges on digital sovereignty. This video highlights how owning your infrastructure and managing risk are crucial for navigating the digital landscape. We explore the importance of robust business continuity and regulatory compliance in ensuring your organization can adapt and thrive.

Snowflake Summit 2026 kicked off with an opening keynote on The Agentic Enterprise — featuring a conversation between Snowflake CEO Sridhar Ramaswamy and Anthropic Co-Founder and President Daniela Amodei on how AI agents are reshaping how enterprises work.

Check out the repo here. Manually vetting hundreds of project requests is a thing of the past. Imagine receiving every proposal with a built in risk score, resource check, and "Go/No-Go" recommendation—delivered in seconds. Join Kevin Blanco as he demonstrates how to build a powerful multi-agent system that seamlessly integrates Google Cloud and Asana. Watch along and see a real world example of automating an infrastructure request, returning instant historical pattern analysis and live workspace context without any manual steps.