Retailers best serve customers when they can identify their needs and proactively meet them. That’s why accurately predicting consumer behavior is so important. It might not always be easy — Walmart’s ...

Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...

In today’s dynamic business environment, organizations are overwhelmed by vast amounts of data, yet the challenge remains in effectively leveraging this data to inform strategic decision-making. A ...

Predictive procurement is set to be a key theme for procurement professionals in 2025, as they seek to gain greater insight into likely future demand and pricing trends in an uncertain economic ...

CEO of InfluxData, a leading time series platform, board member for One Heart Worldwide and board advisor for Lucidworks and The Fabric. In the current global business landscape, data-driven ...

Understanding and anticipating customer needs is more crucial today than ever. Predictive analytics has emerged as a game-changer in the quest for exceptional customer experiences (CX), enabling ...

Non-communicable diseases (NCDs) such as cardiovascular diseases, diabetes, cancer, and chronic respiratory conditions are the leading cause of death globally, accounting for 74% of all deaths ...

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. Image: ...

Zohar Bronfman is the cofounder and CEO of Pecan AI, a predictive analytics platform making advanced AI accessible to business teams. For decades, predictive analytics was a capability largely ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...