Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
A major Swiss energy provider with 7,000 employees across 40 markets in Europe, Asia, and the U.S., managing complex power generation and trading operations.
Critical technical standards and best practices were scattered across siloed systems, forcing employees to rely on ineffective keyword searches or...
“With Databricks, we’ve transformed how our teams access and use internal knowledge. What used to take hours of digging for information or waiting on colleagues is now resolved in seconds with our GenAI assistant. It’s improved day-to-day productivity, strengthened cross-team collaboration and created a foundation we can build on.”
Energy producer and trader specializing in renewable power and risk management.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Axpo Group's Enterprise knowledge search is part of this use case:
Related implementations across industries and use cases
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Engineers lost 30% of their day hunting in isolated data vaults. A unified AI assistant now surfaces technical answers in minutes.
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
A major Swiss energy provider with 7,000 employees across 40 markets in Europe, Asia, and the U.S., managing complex power generation and trading operations.
Critical technical standards and best practices were scattered across siloed systems, forcing employees to rely on ineffective keyword searches or...
“With Databricks, we’ve transformed how our teams access and use internal knowledge. What used to take hours of digging for information or waiting on colleagues is now resolved in seconds with our GenAI assistant. It’s improved day-to-day productivity, strengthened cross-team collaboration and created a foundation we can build on.”
Energy producer and trader specializing in renewable power and risk management.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Axpo Group's Enterprise knowledge search is part of this use case:
Related implementations across industries and use cases
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Engineers lost 30% of their day hunting in isolated data vaults. A unified AI assistant now surfaces technical answers in minutes.
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.