The Future of Supply Chain Demand Forecasting
“Forecasting is an ‘inexact science’,” writes Keith Peterson (@KPeteHalo), President and CEO of Halo, “that relies on the data available to you, the math you use, and how you implement the forecast.”[1]
In this blog, we discuss cognitive computing and other technologies with a focus on supply chain management and innovation. Other topics of discussion include digital enterprise transformation, marketing, the Internet of Things, and smart cities. Our goal is to advance the public discussion about how cognitive computing and other advanced technologies affect the world in which we live.
Bradd C. Hayes is the active editor of this blog.
“Forecasting is an ‘inexact science’,” writes Keith Peterson (@KPeteHalo), President and CEO of Halo, “that relies on the data available to you, the math you use, and how you implement the forecast.”[1]
A couple of years ago, Jeff Dobbs, KPMG’s Global Sector Chair for Industrial Manufacturing, wrote, “The challenges of the past five years (largely characterized by global uncertainty, economic volatility, geo-political instability, shifting
“The color purple,” writes Wayne Eckerson (@weckerson), “is formed by mixing two primary colors: red and blue. These colors symbolize strong, distinct, and independent perspectives.”[1] We’re all familiar with that imagery as
The Internet of Things (IoT) is sometimes referred to as the Industrial Internet because it is primarily an emerging machine-to-machine network that will eventually connect billions of devices. I tend to agree
A few years back, Bruce Matichuk, CEO of Coole Immersive Inc., predicted, “Future dominant businesses, will be those that understand how to apply AI to build new kinds of software systems with
“The export-based economic model that we now take for granted,” assert analysts at Stratfor, “depends on supply chains.”[1] That statement is as blunt as is it profound. The statement is a global
“Emerging technologies like industrial robots, artificial intelligence, and machine learning are advancing at a rapid pace,” observe Brookings Institution analysts Jack Karsten (@jtkarsten) and Darrell M. West (@DarrWest), “but there has been
“The world around us is changing so rapidly,” writes Datafloq founder Mark van Rijmenam (@VanRijmenam), “that even the hype big data is already outdated. Big data is nothing new anymore and by
“Business intelligence continues to be one of the fastest-moving areas in the enterprise,” writes David Weldon (@DWeldon646), Editor-in-chief at Information Management, “and the techniques that organizations are using to drive adoption and
“There’s a problem within big data,” writes Rick Delgado (@ricknotdelgado). “The problem is that there’s too much information and not enough talent to manage it. The supply of analysts and data scientists
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