Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...

One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the ...

Data engineering is the gritty, often unglamorous work that underpins every AI model, every dashboard, and every strategic data driven decision. For years, we treated our data lakes like giant, messy ...

Data and analytics needs evolve just as quickly as tools are created for those very needs. The vast quantity of technologies available today may make it rather overwhelming for any data leader to know ...

What sets Brahmnik Chachra apart is his ability to combine three key dimensions of data engineering: AI-driven behavioral analytics, large-scale cloud systems, and ethical, human-centered insight. His ...

Structured software is based on a plan that considers the specific requirements of a system and translates them into loosely coupled components. In collaborative software development, development ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.