Systems | Development | Analytics | API | Testing

In this episode of Data Builders Club, Sergio shares how teaching himself Excel sparked a career in analytics, why business context matters more than building flashy dashboards, and what it really takes to build reliable data systems that stakeholders trust. We also dive into data governance, stakeholder communication, AI in modern data teams, and why first-principles thinking will matter even more in the age of AI.

Perforce QAC and Klocwork's new AI-assisted code remediation capabilities combine deep static analysis with AI-guided fix recommendations, helping developers resolve issues faster while maintaining compliance, security, and code quality. In this webinar, you'll see a live demo of how teams can accelerate remediation, reduce rework, and enable flexible AI-powered workflows directly within their development environment.

Silicon Valley has been measuring AI success by token consumption. The more tokens, the more AI transformation. Right? Wrong. Andi Gutmans, Vice President and General Manager for Data Cloud at Google, joins Cindi Howson on the podcast to share that the best context is the context that drives the outcomes you need with the least amount of tokens and processing. Efficiency, not volume, is where the real value is.

Learn more at speedscale.com.

Learn more: speedscale.com.

Ever had an API test fail even though nothing in your code actually changed? That's a noisy field problem and it's one of the most common causes of flaky tests. In this video, we break down: If you're tired of re-running tests just because a timestamp didn't match, this one's for you. Timestamps.

For most enterprises, autonomous AI agents still feel like a risk waiting to happen. Andi Gutmans, Vice President and General Manager for Data Cloud at Google, joins Cindi Howson to explain what it takes to build the data foundation that trustworthy agentic AI depends on. He breaks down how organizations can finally activate the 90 percent of enterprise data that's unstructured, why tokenmaxxing is the wrong way to measure AI value, and how open standards like Apache Iceberg are helping leaders tear down fragmented, multi-cloud data silos and unify data across clouds.

Behavior change is the biggest hurdle in AI adoption. AI only creates value when people make it part of their everyday work. In this episode of The AI Forecast, Paul Muller sits down with Varun Puri, CEO and co-founder of Yoodli, to discuss why successful AI adoption starts with changing how people work. Drawing on his experience at Google, Google X, and as the founder of an AI startup, Varun shares practical lessons on embedding AI into everyday workflows and building habits that stick.