Sramana Mitra: You’re basically using past promotions and modeling those past promotions in your machine learning algorithms to see how the behavior changes when you run certain kinds of promotions. When another promotion is being run in a similar geography by a similar channel partner, then you’re able to predict demand using those models.
Sramana Mitra: Joe, I’d like to do a couple of use cases because a lot of the things that we are talking about here are fairly complicated. The best thing to do is to just go through a couple of use cases. You can pick whatever customers best illustrate the concepts that we have discussed.
Sramana Mitra: Since you have visibility on the supply chain side of the business, what are the key trends that you’re seeing in the Big Data applications and modeling? Joe Shamir: By the fact that you’re moving closer to the consumer, you are collecting demand data as close as possible to the shelf or to
Machines replacing humans. Similar to what Andrew McAfee and Erik Brynjolfson point out in their article on the decoupling of productivity and job growth, Joe Shamir sheds some light on this trend of process automation within businesses. Sramana Mitra: Joe, let’s start with introducing our audience to yourself as well as to ToolsGroup. Joe Shamir:
By Sramana Mitra and guest author Aditya Modi About Joseph C. Lawler Joe Lawler is ModusLink Global Solutions’ chairman, president and CEO, with executive leadership responsibility for the vision, strategic direction, and performance of ModusLink Global Solutions and its subsidiaries. As CEO, Lawler oversees cross-company operations, financial management, and strategy implementation. Prior to joining the