Systems | Development | Analytics | API | Testing

In Part 3, we keep things simple with a “Hello World” example that shows how to create a basic Qlik Automate workflow and trigger it directly from Qlik Answers. You’ll see how an insight can quickly become an action—all within Qlik, without a complicated setup. Check out Parts 1 and 2 for the full series.

Verification asks: Did we build the thing right? Validation asks: Did we build the right thing? When teams can answer both with confidence, they have more than quality software. They have application integrity: measurable assurance that the application works as intended.

AURA: AI-Unified Release Assurance is the world's only closed-loop agentic platform that authors, runs, and analyzes tests with human oversight, informed by 8.7B+ test executions. It takes you from business intent to production confidence at AI speed. From the founders of Selenium and Appium.

Ever wondered why your test suite keeps growing even though you're testing the same few flows over and over? 👀 In this video, we break down how Keploy automatically detects and removes duplicate tests - so your suite stays fast, lean, and actually trustworthy to review.

Episode 1 of the Serious About Process podcast is live! Insurance pricing has evolved from slow, static updates to fast, dynamic decision-making. But have your systems caught up? In our first episode, host Gijsbert Cox is joined by Catrin Townsend, Director of Education at Price Writers, to discuss: Why pricing is an interconnected system, not just a sequence How legacy systems stifle innovation and frustrate teams The real promise of AI as a workflow partner.

Your dashboard can tell you sales are down, but it can't tell you why or what to do next. Dashboards have become the default way to monitor a business. Bhaskar Sunkara argues they're only the starting point. The next step is AI that understands business context and helps leaders move from insight to action.

Quick application integrity check: can your quality strategy survive the tsunami of code coming its way? AI is accelerating development, increasing code abstraction, and multiplying the volume of software teams need to validate. But existing QA approaches weren't built for this level of speed and scale. Application integrity closes the growing gap between what teams build and what they can verify, providing continuous assurance that software works as intended.

Learn more: speedscale.com.

Rick Kranz has built over 100 AI automations for his community and clients — he has no reason to defend Databox. But when he tried to run his AI analysis without the Databox MCP, it just stopped working. In this episode, Rick and Pete break down exactly why: the semantic layer, the metric definitions, and the standardized math that make an AI's answer trustworthy instead of a guess. If you've ever wondered why connecting five random MCP servers to Claude doesn't give you the same results as a purpose-built data layer, this is the episode.

Drawing on his experience at Google, Google X, and as the CEO and co-founder of an AI startup, Varun Puri shares practical lessons on embedding AI into everyday workflows and building habits that stick. Discover how to maintain perspective on what is working, even when AI constantly highlights what isn’t.