Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

If you’re involved in quality assurance, which you most likely are or wouldn’t have started reading this article, then you know how important maintaining software quality is—especially in the modern ...

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 ...

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 ...

In 1999, Bill Gates’s book Business @ the Speed of Thought predicted technology like the internet, email, and desktop business programs would transform industries. Gates argued that these tools should ...

Have you ever been prospecting and wished you could read minds to know exactly who’s ready to sell? While telepathy isn’t an option, predictive analytics will get you pretty close. Predictive ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Predictive analytics is a method of data analysis used within ...

Automakers and consumers closely watch results from the influential auto quality studies published each year by data and analytics company J.D. Power. Those studies, in part, are based on customer ...

OverviewThe global NLP in healthcare & life sciences market is anticipated to expand at a CAGR of nearly 25% during the forecast period, fueled by widespread EHR adoption, rising interest in ...