EnergyRetrieval-Augmented GenerationPublic Cloud

Bayernwerk Netz, E.ON Empowers Field Workers

Bayernwerk Netz (E.ON)· GermanyAgent Bricks · Delta Lake · Unity Catalog +1

Bayernwerk Netz, a German grid operator and E.ON subsidiary supplying energy to roughly seven million people, partnered with E.ON Digital Technology to build a generative AI field operations assistant on the Databricks Data + AI Platform. Using Delta Lake, Unity Catalog, Agent Bricks and AI Search for retrieval-augmented generation, the assistant compiles source-linked briefs on safety procedures, technical specs and incident notes for field workers, piloted with 60 users and planned to scale to roughly 4,000 employees to support the company's Vision Zero safety goal.

Overview

Bayernwerk Netz, a German grid operator and E.ON subsidiary supplying energy to roughly seven million people, partnered with E.ON Digital Technology to build a generative AI field operations assistant on the Databricks Data + AI Platform. Using Delta Lake, Unity Catalog, Agent Bricks and AI Search for retrieval-augmented generation, the assistant compiles source-linked briefs on safety procedures, technical specs and incident notes for field workers, piloted with 60 users and planned to scale to roughly 4,000 employees to support the company's Vision Zero safety goal.

This entry has 13 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

Fragmented technical specs, HSE policies and Standard Operating Procedures lived across various systems (SharePoint, MAQSIMA), causing users to spend excessive time searching for documents or verifying versions, creating bottlenecks that drained operational costs and increased operational risk from outdated or incomplete information.

The solution

Bayernwerk partnered with E.ON Digital Technology to build a generative AI field operations assistant on the Databricks Data + AI Platform. Delta Lake stores structured and unstructured data ingested from SharePoint and MAQSIMA; Databricks Pipelines extract, clean and normalize documents for a retrieval-augmented generation (RAG) pipeline; Unity Catalog enforces source-level, permission-aware access; Databricks AI Search retrieves relevant grounded content; and Agent Bricks AI Gateway routes queries to lightweight or advanced LLMs depending on task complexity, enabling the assistant to autonomously break down complex queries and gather specific inputs.

Retrieval-Augmented GenerationAgentic AI

Reported business value

The assistant reduces safety risks, minimizes costly downtime and cuts time employees spend searching for information. Piloted with 60 users, it is planned to scale to roughly 4,000 employees (with an initial rollout to around 600 field workers), aiming for a massive saving of working hours every year and supporting the company's Vision Zero safety goal.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other energy entries in the register.

All entries
EnergyNatural Language ProcessingPublic Cloud

Building a clean energy future with natural language analytics

Williams, a large-scale natural gas infrastructure operator, deployed Databricks AI/BI Genie to give commercial, regulatory, accounting and technical staff natural-language, self-serve access to analytics. The team flattened 27 disparate tables into SQL models that Genie Spaces reason over, encoding internal acronyms and business logic into Genie's instructions, powered by Databricks Unity Catalog. A data request that previously took an analyst five days now completes in seconds with validated accuracy, and the weekly backlog of data requests dropped from up to ten to one or two, freeing analysts for predictive modeling and enterprise projects.

96/100HighPrimary source
WilliamsDatabricks AI/BI Genie · Databricks Unity Catalog
EnergyPredictive AnalyticsPublic Cloud

Plenitude builds machine learning models on Databricks to forecast energy demand and renewable production

Eni-owned energy company Plenitude, which serves 10 million households and businesses across Europe, uses statistical models and machine learning on the Databricks Data + AI Platform to forecast customer energy consumption at hourly and daily granularity, forecast wind and solar generation from its renewable asset portfolio, and run customer segmentation and propensity models across 60 implemented use cases.

100/100HighPrimary source
PlenitudeDatabricks Data + AI Platform · Delta Lake · Unity Catalog +2
EnergyAgentic AIPublic Cloud

Foresea modernizes base yard logistics with Oracle Autonomous AI Database

Foresea, a Brazilian offshore oil and gas drilling company, migrated its dock scheduling application to Oracle Autonomous AI Database 26ai with Oracle AI Database Private Agent Factory on OCI. The company replaced an unpredictable dock receiving process with a self-service booking application giving suppliers visibility into delivery status, check-in/check-out, dwell time, and document readiness, reducing wait times and overtime hours at its base yards.

96/100HighPrimary source
Foresea· BrazilOracle Cloud Infrastructure · Oracle Autonomous AI Database · Oracle AI Database Private Agent Factory +3
EnergyPredictive AnalyticsUnknown

Cosmo Fuels Digital Transformation With Databricks

Cosmo Energy chose the Databricks Data + AI Platform to unify siloed data, strengthen governance and enable AI-driven insights that improve customer engagement, operational efficiency and security, launching frontline analytics, predictive customer services and digital twin projects. The company trained 980 employees in data utilization in two years, surpassing its three-year goal.

92/100HighPrimary source
Cosmo EnergyDatabricks · Agent Bricks · Databricks SQL +1

Was this helpful?

Your feedback helps us improve our use case database