Planning has almost always been a semi-structured process—at best—within organizations. It has typically involved some number of individuals sticking up their fingers into the wind to make ...

Machine learning has been successfully applied to demand planning, but leading suppliers of supply chain planning are beginning to work on using machine learning to improve production planning. But ...

LONDON--(BUSINESS WIRE)--A global data analytics and advisory firm, Quantzig, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of their ...

Keshia Vaughn looks at how machine learning can transform commercial planning and outlines what teams will need to deploy it effectively. Chances are, if you are a pharmaceutical executive, you will ...

Machine learning—it’s a ubiquitous buzzword that’s used loosely but at the same time widely misunderstood. Like many powerful technologies, machine learning has the potential for great business ...

The tenth annual Workday Innovation Summit, held April 22-24 in Sausalito, CA, brought more than the sweeping San Francisco skyline into focus. Workday shared its vision for providing machine learning ...

In today's dynamic business environment, effective resource allocation is paramount. Traditional methods of capacity planning, while foundational, often struggle to keep pace with rapid market shifts ...

As cities like Philadelphia strive to meet ambitious greenhouse gas reduction goals, predicting how zoning and development decisions will impact building energy use and emissions is a major challenge.

Computer-aided synthesis planning (CASP) programs aim to replicate what synthetic chemists do when tackling a synthesis: start with a target molecule and then work backwards to trace a synthetic route ...

Chris Lord relates the story of a space planner at one higher educational institution who faced a conundrum: Plenty of square footage had been allocated for study space, but students were complaining ...