Author Ari Kaplan

DataRobot will be integrated into the McLaren Racing infrastructure, delivering AI-powered predictions and insights to maximize performance and optimize simulations.

“Winning at 200mph” is the theme for DataRobot’s amazing and unique sponsorship of an Andretti Autosports Indy race car driven by Robert Megennis. The 12-city series of events ranged from the streets of St. Petersburg, Florida, to downtown Toronto, to Portland International Raceway, with the season coming to its end at the Long Beach Grand Prix. Throughout 2021, I went…

COVID-19 has wreaked havoc on global supply chains. Retailers, manufacturers, and pharmaceutical companies all have struggled to align production and stocking with rapid shifts in demand. The recent shipping traffic jam in the Suez Canal amplified those challenges and underscored the overall fragility of both global and local supply chains. Now is the time to rethink supply chains, with more…

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…

Staying in tune with consumer demands can be challenging, especially when these demands change almost daily. Tracking consumption patterns to predict demand is a monumental task. Previously, solving this problem involved spreadsheets or legacy statistical methods. But with automation and machine learning, artificial intelligence can help organizations slice through mounds of data to get more accurate and timely insights on consumer demand . Machine learning can build forecasts for hundreds of thousands of items and consider all of the minute details for each one of them, from seasonality to sales history. For example, automated machine learning can easily create separate models on clusters of products, using unsupervised ML techniques, to make predictions even more granular such as by store, week, and SKU.

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…

Across the retail sector, companies face heightened challenges in the form of the empowered consumer. Consumers expect more information that is tailored to them about what to buy and where to buy it, as well as in-store safety during the pandemic, online shipment, and information on where the best deals are. With the ubiquity of smartphones and widespread access to…