So many retail challenges hinge on unreliable product data. Can agentic AI clean up that data enough to make a difference? Can it do the same for other verticals? Every vertical has its own unique ...

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

In today's digital-first retail environment, accurate and real-time data synchronization across platforms is no longer a technical luxury; it's a survival requirement. Recent independent research and ...

Any in-depth research into retail theft reveals a definite problem. Namely, that it’s unclear how much of a problem it is or how much it’s rising, if it’s worsening at all. That hasn’t stopped the ...

In today’s analysis, we use data from Nasdaq Data Link called U.S. Retail Equity Flows (UREF). It uses a proprietary methodology to capture 45% of retail flow on a stock-by-stock basis. For those that ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...