Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
A leading video and entertainment provider whose Newton dataset unifies more than 1,200 customer-level attributes across subscriptions, billing, content engagement, and product usage.
With thousands of columns and billions of records, analysts needed weeks to learn the schema and write efficient queries, and business users without...
Satellite and streaming television service provider.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
DIRECTV's Data analytics is part of this use case:
Related implementations across industries and use cases
Reps manually calculated variances across three systems. AI now compares statements in seconds, spotting fee changes instantly.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Pulling reports from scattered dashboards took two days. Now, employees query an AI assistant for instant commercial insights.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Reactive support for 15M broadband upgrades drove high call volumes. Now, AI agents proactively text and call to schedule installations.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
A leading video and entertainment provider whose Newton dataset unifies more than 1,200 customer-level attributes across subscriptions, billing, content engagement, and product usage.
With thousands of columns and billions of records, analysts needed weeks to learn the schema and write efficient queries, and business users without...
Satellite and streaming television service provider.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
DIRECTV's Data analytics is part of this use case:
Related implementations across industries and use cases
Reps manually calculated variances across three systems. AI now compares statements in seconds, spotting fee changes instantly.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Pulling reports from scattered dashboards took two days. Now, employees query an AI assistant for instant commercial insights.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Reactive support for 15M broadband upgrades drove high call volumes. Now, AI agents proactively text and call to schedule installations.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.