There’s a quiet but profound transformation underway in how businesses interact with backend systems. It’s not a flashy app or piece of consumer technology - it’s happening at the infrastructure level ...

Companies are realizing that higher AI productivity does not come from using bigger models, but rather from using AIs that understand the context they operate in. Context helps AI interpret ...

“As AI makes code generation easier, the real challenge shifts to reasoning across massive, interconnected systems. Potpie is ...

Jared Bowns is Head of Data and AI at Elyxor, helping enterprises turn emerging AI into scalable, real-world business value. Large language models (LLMs) have evolved from novelty to necessity in ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. Enterprises have spent the past two years ...

What if the key to unlocking the full potential of artificial intelligence lies not in the models themselves, but in how we frame the information they process? Imagine trying to summarize a dense, 500 ...

What if the key to unlocking truly intelligent AI isn’t just about asking the right questions, but about building the perfect environment for those questions to thrive? While much of the conversation ...

Software engineering is among the many fields being changed with the fast progress in large language models (LLMs). In a few years, LLMs have evolved from advanced code autocomplete tools to AI agents ...

Traditional manufacturing software platforms like SCADA, MES and historians are powerful, but custom software is filling the gaps configuration alone can no longer cover.

For the past few years, prompt engineering has become one of the most important skills in the AI era. Courses were built around it. Job titles were created for it. Entire communities formed to share ...