Systems | Development | Analytics | API | Testing

Varun Jasti of AWS explains why real-time data—not better models—is the true unlock for enterprise AI. Most enterprises don't need to build AI models from scratch—they need to put AI to work. That requires a data foundation that is real-time, reliable, and ready to serve intelligent systems at scale.

Most companies aren't trying to build AI—they're trying to use it. Varun Jasti of AWS breaks down why accessible data, not model sophistication, determines whether AI creates real business value.

The average grocery store has 65 to 80% inventory accuracy. One in 10 products is out of stock at any moment. For an industry operating on razor-thin margins and competing against digital-native challengers, that data gap is existential. In this episode, Kevin Johnson, CEO of Focal Systems, sits down with Joseph to explore how his team is using computer vision, data streaming, and stateful stream processing to close that gap at scale.

What happens when a security intelligence company decides that data contracts aren't optional, they're the foundation? For SecurityScorecard, that decision changed everything: how teams share data, how pipelines are built, and how quickly a new engineer can ship production-grade work on day one.

45 million vehicles, 90 markets, 12+ iconic brands, each with its own data silos, standards, and infrastructures. In this episode, Chetan Alatagi, Solution Architect reveals how they transitioned from fragmented legacy ETL silos to a Unified Data Ecosystem—a global data streaming highway that turns vehicle telemetry into real-time value.

Escaping the monolith didn’t just simplify architecture—it unlocked speed, flexibility, and hiring freedom for Busie.

Managing Kafka wasn’t the business—delivering customer value was.

Tightly coupled request-response create cascading failures. Brady at Busie, explains why moving to an event-driven architecture was the only way to guarantee an “always-us” system for mission-critical operations.

Learn how to spin up a gateway and trigger a failover (and a failback) when your Confluent Cloud clusters fail—without needing to restart your Apache Kafka clients. NOTE: This demo is a proof of concept and is not production-ready. Use at your own risk. –

As AI agents act on enterprise data, governance failures become business liabilities. Learn why fixing them downstream won’t work anymore.