Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
A real estate marketplace serving over 250 million monthly users across buying, renting, touring, and financing, built through years of acquisitions that brought distinct technology stacks and compliance requirements into a fragmented data landscape.
Siloed systems created friction at every layer: integrating a single acquisition could consume months, and cross-domain data requests required weeks...
“With Lakebase, we can immediately access low-latency data that’s already governed through Unity Catalog, eliminating substantial incremental work. It unlocked datasets that were previously out of reach and has been a key ingredient for agentic use cases.”
Real estate marketplace for buying, selling, renting, and financing homes.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Zillow's Conversational home search is part of this use case:
Related implementations across industries and use cases
Remote work trapped data in silos. AI now indexes 138M docs, enabling agents to draft reviews and build incident timelines.
Telemetry from 6M machines was trapped in internal silos. Unifying it into a shared platform lets customers deploy predictive AI.
Rigid filters forced buyers to act like admins. Now, they describe a "cottage feel," and AI scans millions of listings to find a match.
Telemetry from 6M machines was trapped in internal silos. Unifying it into a shared platform lets customers deploy predictive AI.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
A real estate marketplace serving over 250 million monthly users across buying, renting, touring, and financing, built through years of acquisitions that brought distinct technology stacks and compliance requirements into a fragmented data landscape.
Siloed systems created friction at every layer: integrating a single acquisition could consume months, and cross-domain data requests required weeks...
“With Lakebase, we can immediately access low-latency data that’s already governed through Unity Catalog, eliminating substantial incremental work. It unlocked datasets that were previously out of reach and has been a key ingredient for agentic use cases.”
Real estate marketplace for buying, selling, renting, and financing homes.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Zillow's Conversational home search is part of this use case:
Related implementations across industries and use cases
Remote work trapped data in silos. AI now indexes 138M docs, enabling agents to draft reviews and build incident timelines.
Telemetry from 6M machines was trapped in internal silos. Unifying it into a shared platform lets customers deploy predictive AI.
Rigid filters forced buyers to act like admins. Now, they describe a "cottage feel," and AI scans millions of listings to find a match.
Telemetry from 6M machines was trapped in internal silos. Unifying it into a shared platform lets customers deploy predictive AI.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.