Systems | Development | Analytics | API | Testing

Why mirror production Kafka data to staging environments? Test safely without risking production. Learn about data subsetting, sensitive data masking, and the emerging pattern that's revolutionizing Kafka testing workflows.

When AI needs to think faster, the architecture beneath it matters more than ever. Val Cook, Chief Software Architect at Blaize, joins The AI Forecast to unpack how today’s AI systems demand more than raw compute, but more adaptable infrastructure. He and host Paul Muller explore the critical intersection of hardware and software, the growing importance of data flow machines, and the limits of traditional architectures in real-time environments.

Apache Iceberg unlocks the complex time travel requirements and intensive data validation needs that Affirm has as a financial company. Iceberg's write-once / read-anywhere paradigm simplifies Affirm’s governance by minimizing existing data sets — ensuring there is only ever one logical copy of a given data set, complete with a validation history, and tag-based time travel watermarks. This presentation recorded at Summit 2025 provides detail on the the way Affirm leverages Snowflake’s Open Catalog to power our Iceberg implementation, solving both operational and analytic challenges in the business.

Databox CEO Pete Caputa nails a frustration most execs feel: the grind is getting harder while results feel smaller. In this clip, he shares the fork in the road every leadership team faces - and the choice that leads to predictable growth. That’s why he created a new methodology course called “Predictable Scale." Databox is Modern BI for teams that need answers now. It offers the best of business intelligence software, without the complicated setup, steep price, or long learning curve.