AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

You don’t need to be a certified data scientist to see that data is playing a critical role in transforming businesses across every industry and niche in 2017. But beneath all this growth you can ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

This ebook, based on the latest ZDNet / TechRepublic special feature, explores how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash. Read ...

Data science startup Aviso applies predictive analytics to sales projections. Customer RingCentral says its sales forecast accuracy has been spot on On July 1st this year, startup Aviso's Insights ...

Predictive analytics offers brands a powerful tool to boost customer retention and improve the customer experience. By leveraging data and predictive modeling, brands can gain granular insights into ...

IBM Watson is the most well-known example of predictive analytics in use. If your company wants to benefit from predictive analytics, here's what you need to know. Predictive analytics use historical ...

No question that predictive analytics is a hot topic but according to recent data more than half of CEOs don't trust the accuracy of their data. Here's why. Do CEOs trust predictive analytics?