Campbell Brown

As AI normalizes, it is proprietary external signals — not bigger LLMs — that offer the real edge. For the past two years, the AI race has been defined by size. Bigger models. More parameters. Faster GPUs. But as enterprise adoption matures, a quiet shift is underway, from model size to signal quality. In other words, the winners won’t be the companies with the largest models. They’ll be the ones with the cleanest, most contextual, and most proprietary signals feeding them....

Accurately forecasting demand has never been more critical—or more challenging. Traditional models built solely on historical sales...

Discover how QSRs have used PredictHQ to generate over $788M in additional revenue during high-impact events, and reduce labor costs...

This article embarks on a comprehensive exploration of the pros and cons of implementing demand forecasting strategies, and delves...

In today's fast-changing business landscape, where AI and data-driven insights are reshaping industries, predicting future demand has...

Explore the ins and outs of demand forecasting from key steps involved in the process, examples of how different industries use demand...

In the ever-evolving landscape of today's business world, maintaining a competitive edge is not just a goal, but a necessity. In the...

This article embarks on a comprehensive journey through the evolution of demand forecasting, from its humble beginnings to its present...