#production-ai

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#software-architecture #observability #agentic-systems #proprietary-data #data-management #open-source
Artificial intelligence
fromInfoQ
1 week ago

Article Series - AI Assisted Development: Real World Patterns, Pitfalls, and Production Readiness

AI is a production software component requiring architecture, process, observability, version control, iterative validation, and human accountability for reliable, transparent, and controllable systems.
Artificial intelligence
fromInfoQ
1 month ago

Powering Enterprise AI Applications with Data and Open Source Software

Proprietary data is the primary value in AI, and managing complex data is essential for deploying production AI systems across inference, data, and workflows.
fromLogRocket Blog
4 months ago

What you actually need to build and ship AI-powered apps in 2025 - LogRocket Blog

The AI stack has become increasingly confusing and complex. We've gone from two major players (OpenAI and Anthropic) in 2023 to over 200 providers, dozens of vector databases, and a constant stream of new "AI-native" tools launching weekly. AI applications are no longer in the experimental phase. These technologies have now matured to production-ready applications that enterprises can deploy at scale.
Artificial intelligence
Artificial intelligence
fromTechzine Global
5 months ago

Typedef project Fenic: A 'dataframe' for LLMs

Fenic is a PySpark-inspired DataFrame that transforms structured and unstructured data into scalable, production-ready AI and agentic applications, simplifying AI infrastructure complexity.
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