Smarter AI

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....

AI-driven forecasting cuts supply-chain errors by up to 50%, transforming how retailers approach labor management. Traditional gut-feeling PredictHQ leads the industry by specializing in enriching demand forecasts with real-time event and weather data, helping retailers anticipate everything from concert crowds to storm-driven shopping surges with unmatched precision. This comprehensive guide explores four critical pillars of AI workforce scheduling: precision forecasting that eliminates guesswork, connected scheduling systems that adapt in real-time, measurable business impact across costs and service quality, and a practical implementation roadmap for retail leaders ready to transform their labor management approach....