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100

“Shell currently has over 100 AI projects running”

Tal como se publicó en databricks.com. Capturado por usedby el 2 oct 2026.

Qué pasó

Shell uses Databricks as a foundational part of its Shell.ai platform to unify data, analytics and AI workloads for its engineers, data scientists and analysts. It is applied to supply chain and spare-parts inventory simulations, a loyalty program recommendation engine, and business intelligence and reporting.

Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de Databricks y de Shell, no nuestras.

  • 10,000+“run 10,000+ inventory simulations across all its parts and facilities”
  • 800“over 250 data analysts (or citizen data scientists), and 800 citizen data scientists”

Shell’s focus on data and analytics has enabled over 250 data analysts (or citizen data scientists), and 800 citizen data scientists to be more productive with all the data available to them.

De la página. databricks.com, capturada el 2 oct 2026

The usage of Databricks over the years has broadened significantly. We started out using Databricks as a big data and AI platform but the scope has broadened. We have an entirely different class of citizen engineers and data scientists who are using it as a modern business intelligence tool to make smarter business decisions.

Daniel Jeavons, Vice President – Computational Science and Digital Innovation, Shell. Fuente, capturada el 2 oct 2026

Lo que dice la historia, y lo que verificamos

Comparamos la historia con su página en línea el 3 oct 2026.

  • La cifra: 100VerificadoImpresa palabra por palabra en la página, cerca del nombre de Shell.
  • El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Shell.
  • Shell usa DatabricksVerificadoLínea de nivel Confirmado. Última verificación entre todas las fuentes: 2 oct 2026.
  • El resultado en síNo verificadoLo citamos; no lo medimos.

Misma empresa, misma herramienta o mismo sector.

60%“Latency dropped by 60%, cutting average response time from 15.5 seconds to six.”Adidas usa Databricks. Otro cliente de Databricks2,000“supporting the decision-making of over 2,000 data users across the company”Barilla usa Databricks. Otro cliente de Databricks70%“achieving a 70% reduction in ETL pipeline creation time”Columbia usa Databricks. Otro cliente de Databricks