Author John Sturdivant

The response from COVID-19's gradual recovery will be top of mind for nearly every firm and industry in 2021. Some businesses may become stagnant or never recover. Others will view the shakeup as an unprecedented opportunity to understand and improve their data and analytical assets, operationalize and update their model production process, and reassure customers that their AI can be trusted. Everyone is looking…

With the 2020 World Series underway, most MLB teams have shifted to their off-season priorities of building their 2021 squad, as well as making improvements to the way they manage their baseball operations in the front office. Baseball analytics departments are a bigger part of that group now, so I offer this look at getting the most out of that…

DataRobot Intelligent Value Estimator for 2020 MLB Team and Player Performance Recently, we predicted how the 60-game 2020 MLB season would unfold -- for teams and for individual players. Please see our original post for all of the details of how we build the models with DataRobot’s leading artificial intelligence platform. Who is projected to win each division in the…

DataRobot Intelligent Value Estimator for 2020 MLB Team and Player Performance Before the 2020 season started, we predicted how the MLB season would unfold -- for teams and for individual players  -- by leveraging the leading DataRobot AI Platform. Then COVID changed the world. Health, the economy, and our entire way of life have all been fundamentally changed, as have…

Current Situation: A Double Black Swan in Supply and Demand Amidst the global economic turmoil caused by COVID-19, few industries have been hit as hard as the upstream oil and gas industry. Operators have been knocked off course by the double-black swan events of rapidly eroding demand and a glut of supply. The global economic slowdown will have a direct…

At DataRobot, we love problems that involve large sets of data, discrete cause-and-effect events, and difficult predictions; which makes baseball the ideal playground for our data scientists. On our normal days, we work closely with our customers to build prediction models that demystify the future with advanced machine learning techniques. With the current lack of baseball games to watch and…

This blog provides a unique take on using machine learning to predict free agent signings in the off-season. MLB’s Hot Stove season has begun and several big contracts have already been handed out to Zack Wheeler, Yasmani Grandal, Will Smith, and more. However, over 90% of this year’s free agent class remains unsigned, including the big three of Gerritt Cole,…

There have been anecdotal complaints that the postseason baseball is deader than its regular-season counterpart, so we used DataRobot to analyze 100k+ batted balls in 2019.  Something is up with baseball this year. On Wednesday, October 9th, the Los Angeles Dodgers faced the Washington Nationals in an elimination Game 5 of the National League Division Series, and in the bottom…