Very timely read on how to make an investment in Analytics pay off.
https://hbr.org/2018/01/how-one-company-made-its-analytics-investment-pay-off
Very timely read on how to make an investment in Analytics pay off.
https://hbr.org/2018/01/how-one-company-made-its-analytics-investment-pay-off
Avi Goldfarb, a professor at the University of Toronto’s Rotman School of Management, explains the economics of machine learning, a branch of artificial intelligence that makes predictions. He says as prediction gets cheaper and better, machines are going to be doing more of it. That means businesses — and individual workers — need to figure out how to take advantage of the technology to stay competitive. Goldfarb is the coauthor of the book “Prediction Machines: The Simple Economics of Artificial Intelligence.”
from Harvard IdeaCast…
Too much data and not enough analysts. This article does an excellent job describing the latent power of Analytics, and the potential of citizen data scientists. All-in-all, a good way to kickoff this month’s focus on Analytical Automation.
https://hbr.org/2018/05/why-marketing-analytics-hasnt-lived-up-to-its-promise
How Stitch Fix Turned Personal Style into a Data Science Problem
https://hbr.org/2018/05/stitch-fixs-ceo-on-selling-personal-style-to-the-mass-market
So often we focus on the mechanics of building the right algorithms. This article emphasizes the importance of building the right organization — with Data Science reporting directly to the CEO. And how Human and Artificial Intelligence can work together to deliver a more personalized product. I finally found time to start reading the latest issue of HBR…and this article really stands out.