AI Applied in Enterprises: Information Architecture, Decision Optimization, and Operationalization
The book Deploying AI in the Enterprise by Eberhard Hechler, Martin Oberhofer, and Thomas Schaeck gives insight into the current state of AI related to themes like change management, DevOps, risk management, blockchain, and information governance.
Agility and Architecture: Balancing Minimum Viable Product and Minimum Viable ArchitectureInfoq
Data-Driven Decision MakingInfoq
Accelerating Technical Decision-Making by Empowering ICs with Engineering StrategyInfoq
Adaptive Architecture: a Bridge between Fashion and TechnologyInfoq
Grab Redesigns Counter Service Storage for 50% Lower P99 LatencyInfoq
The Async Multiprocessing Has Sound Foundations in Linux, But Further Testing is NeededInfoq
5 ways to automate Browse AIZapier
Three Key Design Considerations for an Event-Driven ArchitectureThenewstack
Transform and Future-Proof Your Architecture with MACHThenewstack
Introducing CORPS: The 5 Pillars for a Robust Cloud Architecture FrameworkThenewstack
How a top tier European soccer team sped up their data processing and reduced costs by 50%Modal
What is a Streaming Multiprocessor Architecture?Modal
KAUST and Cerebras Named Gordon Bell Award Finalist for Solving Multi-Dimensional SeismicCerebras
How do I delete an individual deployment?Vercel
Real-Time Speech-to-Speech Translation: Architecture GuideDeepgram
ArchitectureOpentelemetry
Architecture as Code: MicroservicesPulumi
Your Perfect Infrastructure May Not Be So PerfectPulumi
Memory snapshots: Checkpoint/restore for sub-second startupModal
Speculation Is All You NeedModal
