Leading Blogs
Originally published in Forbes, June 11, 2024. If you’ve ever had a data scientist make a machine learning model for you, you probably first experienced excitement, followed by bewilderment. The potential power is awesome. In its enterprise application, predictive AI is the antidote to information overload. Too many prospective customers? Use a predictive model to prioritize them
By: Betsy Vereckey
Originally published in MIT Management, September 19, 2023. Why It Matters Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting. What if we told you there was a new financial forecasting model...
By David Cahn
Originally published in Sequoia Stories, June 20, 2024. The AI bubble is reaching a tipping point. Navigating what comes next will be essential. In September 2023, I published AI’s $200B Question. The goal of the piece was...
Originally published in KDnuggets. Eric Siegel highlights the chronic under-deployment of ML projects, with only 22% of data scientists saying their revolutionary initiatives usually deploy, and a lack of stakeholder visibility and detailed planning as key issues,...
By: Sam Koslowsky, Senior Analytic Consultant,
Harte Hanks
Note from Executive Editor Eric Siegel: In this article, Sam Koslowsky explores a perfect illustration of the value of uplift modeling: whether to offer free shipping. Well, will that increase the chance this customer will buy? That...
Originally published in OneZero, Sept 27, 2019 OneZero spoke to Rohit Prasad, chief scientist for Alexa, about the new tone-detecting feature. Amazon knows that Alexa doesn’t get everything right, so the virtual personal assistant is picking up...
By: Jeff Deal, Conference Chair, Predictive Analytics World for Healthcare In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare Las Vegas, May 31-June 4, 2020 we asked Bob Nisbet, Instructor at University...
By: Steven Ramirez, Conference Chair, Predictive Analytics World for Industry 4.0 In anticipation of her upcoming conference presentation at Predictive Analytics World for Industry 4.0 May 31-June 4, 2020, we asked Jaya Mathew, Senior Data Scientist at Microsoft, a few...
By: Eric Siegel, Program Co-Chair, Predictive Analytics World for Financial In anticipation of his upcoming conference presentation at Predictive Analytics World for Financial. May 31-June 4, 2020, we asked Dr. Aric LaBarr, Associate Professor of Analytics, Institute...
