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 ...

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 ...

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 ...

Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...

AI in Digital Marketing is more than just a passing trend; it has fundamentally reshaped the way businesses approach digital ...

In a short time, AI-powered technology like predictive analytics has gone from seeming like futuristic features only a few organizations could access, to something attainable for all businesses. This ...

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 ...

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 ...

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

UPMC is on the forefront of using big data to improve patient outcomes. The system started collecting patient data more than 30 years ago and now has a robust platform to support predictive analytics ...

Predictive analytics, a branch of advanced analytics, helps forecast future outcomes using historical data, statistical modeling, and machine learning. In industries like vegetation management, it has ...