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Even Santa Claus has AI fever

As CEO of the North Pole, Santa Claus oversees one of the world’s most complicated supply chain, manufacturing and logistics operations. Every year...

To Tailgate or Not? How Databricks + AccuWeather used ML to answer every football fan's burning question

Whether you’re an NFL fanatic, an alumnus rooting for your alma mater or a super fan just trying to catch a glimpse of...

The 2023 State of Data + AI: How Businesses Are Preparing for the New Age of AI

The historic surge of interest in large language models (LLMs) since ChatGPT launched to the public late last year has made the topic...

Scrappy Halloween Insights: How We Used Databricks and Chewy Data to Identify Trendy Pet Costumes

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 & AI

The holiday season is upon us and with it, all the rich and delicious foods that warm our bodies and challenge our waistlines...

Is Oscar Bait Real? We Used Databricks and IMDb Data to Find Out

March 28, 2022 by Dan Morris and Mikaila Garfinkel in
In case it wasn’t clear by our 100 Years of Horror Films analysis…we really love movies here at Databricks. We’re also obsessed with...

Understanding New Years Trends: A Simple, Unified Pipeline on the Databricks Lakehouse

Try the notebooks referenced throughout this post. Overview , Tweet Ingestion , Tweet Categorization & Result Population For many people, the start of...

100 Years of Horror Films: An Analysis Using Databricks SQL

When it comes to the history of film, perhaps no genre says more about us as humans than horror, which taps into our...