How do you get a machine learning system to deliver value from big data? Turns out that 90% of the effort required for success in machine learning is not the algorithm or the model or the learning – ...

Forbes Insights research shows that 65% of senior transportation-focused executives believe logistics, supply chain and transportation processes are in the midst of a renaissance—an era of profound ...

There is increasing pressure in such fields as manufacturing, energy and transportation to adopt AI and machine learning to help improve efficiencies in operations, optimize workflows, enhance ...

Reverse logistics is one of the trickiest operations a retailer will undertake. Getting returns from a customer’s home back to the warehouse without losing product along the way or allowing ...

AI-driven digital freight matching platforms are transforming the brokerage landscape, helping shippers and carriers automate workflows, boost utilization, and navigate the lingering freight recession ...

AI-driven digital freight matching platforms are transforming the brokerage landscape, helping shippers and carriers automate workflows, boost utilization, and navigate the lingering freight recession ...

One of the most common misconceptions about machine learning is that success is solely due to its dynamic algorithms. In reality, the learning potential of those algorithms and their models are driven ...

We see rapid technological development in the fields of big data, algorithmic development, connectivity, cloud computing and processing power every day. These new technologies have made the ...