In this special guest feature, Jane Hendricks, WW Portfolio Marketing Lead at IBM Predictive Analytics, describes a methodology for realizing business value from predictive analytics: start by ...

So what's next? What's next is what's next--the ability to forecast where events are heading, then make informed decisions based on that assessment. Predictive analytics, the scientific name for using ...

NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced that it has opened its predictive analytics ...

The predictive analytics market within the banking sector has been witnessing substantial growth in recent years, fueled by the increasing adoption of data-driven decision-making processes and the ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

There is a vast array of predictive analytics tools, but not all are created equal. Software differs widely in terms of capability and usability — not all solutions can address all types of advanced ...

Your businesses could be leveraging predictive analytics and machine learning to help provide a more personalized user experience. By gathering data on how users interact with your site—such as which ...

Erin Cunningham is a writer and editor based in Maryland with experience writing about state and local government, education, technology and more. Artificial Intelligence, machine learning and ...

By thoughtfully integrating AI with robust IA, all industries can move toward a future that is not just more efficient but ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Humans have always needed to support decision-making and strategy with some form of ...