Systems | Development | Analytics | API | Testing

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.

Ask an AI system a question, and you'll get an answer. Decision logic determines whether you should trust it. In this episode of The AI Forecast, Paul Muller sits down with Darlene Newman, Innovation Lead at Duczer East, to explore the hidden layer that helps AI move from pattern matching to practical decision-making.

Rental data has always been a guessing game — scraped estimates, self-reported surveys, no real way to verify the number on a listing. On this episode of The Innovation Blueprint Podcast, ORIL's CEO Roman Havrylyuk talks with Jonas Bordo, co-founder and CEO of Dwellsy, about what it actually takes to get rental data right — and what changes once AI is making decisions on top of it.

Senior Product Manager Kaushal Vyas walks through the Bitrise desktop app, showing you how to rescue your focus from endless browser tabs. Inside: how to pin your mobile CI/CD pipelines right to your macOS menu bar, set up targeted build filters, customize failure notifications, trigger new builds, and utilize convenient shortcuts to access specific commits, pull requests, and logs.

Read more: https://speedscale.com/blog/imaginary-test-data-real-token-bill/

In this video, Mazlum Tosun walks Martin Omander through building and deploying an AI data agent. Watch along as the team takes a BigQuery database (the company's data goldmine) and open it for plain English questions, using Agent Development Kit (ADK) and Model Context Protocol (MCP). Resource links: Speakers: Martin Omander, Mazlum Tosun Products Mentioned: BigQuery, Agent Development Kit, Cloud Run.