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.”
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
Classical ML choked on legal nuance across 175 jurisdictions. AI agents now draft; humans validate — then the portfolio answers questions.
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.
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%.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
Engineers lost time to coordination, tracking comments across systems. Now, AI summarizes meetings, letting them focus on critical design work.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
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.”
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
Classical ML choked on legal nuance across 175 jurisdictions. AI agents now draft; humans validate — then the portfolio answers questions.
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.
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%.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
Engineers lost time to coordination, tracking comments across systems. Now, AI summarizes meetings, letting them focus on critical design work.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.