Anomaly Detection to Prevent Energy Loss
Energy loss in the utility space is primarily broken down into two categories: fraud and leakage. Fraud (or energy theft) is malicious and...
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The Lakehouse for Manufacturing
Every industry is being challenged in how they think about topics like generative AI, data sharing, productivity, predictive analytics. But what does this...
ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions
This is a collaborative post between Databricks and ARC Resources. We thank Ala Qabaja, Senior Cloud Data Scientist, ARC Resources, for their contribution...
Efficiently Building ML Models for Predictive Maintenance in the Oil and Gas Industry With Databricks
Guest authored post by Halliburton’s Varun Tyagi , Data Scientist, and Daili Zhang , Principal Data Scientist, as part of the Databricks Guest...
How DNV GL Uses Databricks to Build Tomorrow’s Energy Grid
We are proud to announce that DNV GL , a provider of software and independent expert advisory services to the maritime, oil &...