Faster API development with serverless architecture and clean design principles

Reducing infrastructure friction for data science teams on Azure

From R&D labs to production lines: modern testing powered by Python

The role of hands-on architects in building scalable, maintainable software

A simple, jargon-free explanation of how modern cloud computing actually works

How to combine data, prompts, and modern tooling to build effective NLP services

What modern AI development demands from engineers in a foundation-model world

Navigating privacy in enterprise AI systems

How businesses can turn AI complexity into practical advantage with the right expertise

Field-tested insights on building reliable, scalable LLM-powered services

Hands-on lessons from building a real-time AI-powered Slackbot with streaming and RAG

Glimpse into AI on live television

AI enhances your team by freeing time for creativity, strategy, and truly human work

Building AI systems that scale and perform

Why most AI initiatives stall and how technical leaders can reduce risk before it’s too late

Lessons from thousands of real-world projects on what breaks, what scales, and what lasts

Leveraging machine learning to enhance user experience and product performance

LLMs struggle with tabular data like CRM, SQL, or Excel. See how agentic workflows tackle this challenge effectively.