Understanding AI Engineering: Data, Infrastructure, and Best Practices
Understanding AI Engineering Understanding AI Engineering: Data, Infrastructure, and Best Practices Artificial Intelligence is a vast world—and so is the ecosystem that supports it behind the scenes. AI Engineering itself is a broad discipline with many perspectives, but in this article, I want to focus on three foundational aspects: The primary requirement for AI systems to work: data High-level infrastructure options that support AI Some practical best practices observed in enterprise environments Today, AI has become an integral part of our day-to-day operations. From conversational models to productivity assistants, we interact with AI through tools and platforms such as GPT-based systems, Copilots, Gemini, and many others. While using these tools, a natural question arises: ...