Enterprise systems store outcomes, not reasoning. Context graphs capture decision context, enabling AI agents and turning systems of record into systems of reasoning.
Using AI in quality assurance is now essential to staying competitive, but teams still need to stay grounded and involve people to balance the hype with real results.
This mismatch between large producers and small consumers is where systems fracture. The fix isn’t constraining producers or overloading consumers — it’s a fanout layer.
The reason your staged rollouts still cascade, and the drain-before-advance pattern that fixes it, is inspired by one of history's greatest mathematicians.
Kafka feeds the stream, Spark tracks progress via checkpoints, and Delta's transaction log ensures every event lands exactly once, even across failures and restarts.
Agentic AI transforms retail order sourcing by using real-time demand, weather, and supply data to reduce markdowns, optimize inventory, and boost margins.
Modern cloud systems need performance engineering, not just load testing. Proactively ensure reliability, scalability, and resilience across the lifecycle.
AI coding agents can refactor a microservice in seconds. So why are developers still spending half their day waiting to find out if their code actually works?
Shift-left alone won't protect your pipeline. Learn all about how security governance, policy-as-code, and SBOMs create a CI/CD pipeline built to last.
A practical playbook for deploying generative AI at scale, covering governance, security, risk controls, and best practices for safe, compliant production use.
A custom framework testing Oracle 26ai’s ability to convert natural language into SQL using the 22 TPC-H benchmark. With no prompt engineering, it achieves high accuracy.
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