Intermittent Demand Forecasting With Nixtla on DatabricksDecember 6, 2022 by Max Mergenthaler Canseco, Federico Garza Ramírez and Bryan Smith in Industries This is a collaborative post from Nixtla and Databricks. We thank Max Mergenthaler Canseco, CEO and Co-founder, and Federico Garza Ramírez, CTO and...
MLOps at Walgreens Boots Alliance With Databricks Lakehouse PlatformDecember 5, 2022 by Yinxi Zhang, Feifei Wang and Peter Halliday in Industries Standardizing ML Practices on the Lakehouse: Introducing Walgreens MLOps Accelerator In this blog, we introduce the growing importance of MLOps and the MLOps...
Scrappy Halloween Insights: How We Used Databricks and Chewy Data to Identify Trendy Pet CostumesNovember 9, 2022 by Jon Van Hofwegen, Kunal Marwah, Michelle Liu and Mikaila Garfinkel in Industries This year, as part of its annual Halloween consumer survey and report, the NRF expected U.S. consumers to spend $10.6 billion on Halloween...
There’s No AI in Pumpkin Pie, But There Should Be: Delivering Novel Application Experiences Using ML & AINovember 8, 2022 by Avinash Sooriyarachchi, Nicole Jingting Lu, Bryan Smith, Sam Steiny and Mikaila Garfinkel in Platform Blog The holiday season is upon us and with it, all the rich and delicious foods that warm our bodies and challenge our waistlines...
Welcome to the Haunted LakehouseOctober 31, 2022 by Sathish Gangichetty and Allison Baker in Industries Halloween is easily one of my favorite holidays – costumes, horror films, candy eating, elaborate decorations – what’s not to love? At Databricks...