Teams waited on data scientists for SQL. Now, an internal AI agent writes the code, saving 75% of engineers 10 hours a week.
A global financial technology firm with 10,000 employees holds vast data resources across multiple payment, banking, and commerce platforms.
Access to data was bottlenecked by technical requirements, forcing designers and product teams to wait for data scientists to write SQL queries. This...
“We've worked with Databricks for years as our primary data engineering platform, using their Spark capabilities for our data processing needs.”
Fintech platform providing mobile payments, digital banking, and commerce tools.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Fragmented logs and manual tests slowed velocity. Claude Code fixes bugs and aggregates data, cutting incident triage time by 80%.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Launch data was scattered across PDFs and emails. Now, AI synthesizes tens of thousands of documents to draft requirements instantly.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Teams waited on data scientists for SQL. Now, an internal AI agent writes the code, saving 75% of engineers 10 hours a week.
A global financial technology firm with 10,000 employees holds vast data resources across multiple payment, banking, and commerce platforms.
Access to data was bottlenecked by technical requirements, forcing designers and product teams to wait for data scientists to write SQL queries. This...
“We've worked with Databricks for years as our primary data engineering platform, using their Spark capabilities for our data processing needs.”
Fintech platform providing mobile payments, digital banking, and commerce tools.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Fragmented logs and manual tests slowed velocity. Claude Code fixes bugs and aggregates data, cutting incident triage time by 80%.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Launch data was scattered across PDFs and emails. Now, AI synthesizes tens of thousands of documents to draft requirements instantly.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.