Last week Len Tashman, Udo Sglavo and I announced release of our new collection: Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning. Today, we share an excerpt from the book, one of the sixteen opinion/editorial "Afterwords" contributed by influential leaders in academics and industry, this one by
Tag: business forecasting
With my collaborators Len Tashman (Editor of Foresight) and Udo Sglavo (VP of Analytics R&D at SAS), we are happy to announce the release of our new collection, Business Forecasting: The Emerging Role of Artificial Intelligence and Machine LearningĀ (Wiley, 2021). Building upon our previous collection Business Forecasting: Practical Problems and
Book Review in Journal of Business Forecasting The Summer 2016 issue of Journal of Business Forecasting includes a book review of Business Forecasting: Practical Problems and Solutions. The review is by Simon Clarke, Group Director of Forecasting at The Coca-Cola Company. You may be familiar with Clarke's many previous contributions
SASĀ® Insights is a section of the sas.com website devoted to being "your top source for analytics news and views." It contains articles, interviews, research reports, and other content from both SAS and non-SAS contributors. In a new article posted this week, we added three short videos containing practical advice
"The Role of Model Interpretability in Data Science" is a recent post on Medium.com by Carl Anderson, Director of Data Science at the fashion eyeware company Warby Parker. Anderson argues that data scientists should be willing to make small sacrifices in model quality in order to deliver a model that
Last week I had the pleasure of attending (with six of my SAS colleagues) the IBF's Best Practices Forecasting Conference in Orlando. Some of the highlights: Charlie Chase and I were interviewed by Russell Goodman of SupplyChainBrain.com. The videos will be posted on SCB's website later this year. Meantime, enjoy
You may not be in London on October 7 to take advantage of the Lancaster Centre for Forecasting's free workshop on promotional forecasting. However, there are still plenty of forecasting educational opportunities coming up this fall: SAS Business Knowledge Series Best Practices in Demand-Driven Forecasting (Chicago, September 24-25) My colleague
So you think you can outsmart your statistical forecast? Apparently, lots of people do. In "Judgmental Adjustments to Forecasts in the New Economy" (Foresight, Issue 38 (Summer 2015), 31-36), Manzoor Chowdhury and Sonia Manzoor argue that forecasters are becoming more dependent on judgmental adjustments to a statistical forecast. Sometimes this
Business forecasting is a highly politicized process, subject to the biases and personal agendas of all forecasting process participants. This is why many -- perhaps most -- human adjustments to the forecast fail to make it better. And this is why relative metrics, such as FVA, are so helpful in
My favorite dog trick is the group hug. This is achieved by taking a dog's bad habit (rising up on strangers who don't really want a 70# dog rising up on them), and "flipping it" into something cute and adorable. It's all a matter of controlling perception, and that is