Data siloed across acquisitions; building a conversational AI meant stitching six systems. A governed platform collapsed that to one.
A real estate marketplace with over 250 million monthly users spanning buying, selling, renting, and financing, with data fragmented across siloed tools after years of growth, acquisitions, and strict compliance requirements.
Integrating a single acquired company's data could consume months, while cross-domain data requests between teams required weeks of manual...
“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
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.
Language barriers hid 2M products from global buyers. AI now rewrites queries to find exact matches across borders.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Data siloed across acquisitions; building a conversational AI meant stitching six systems. A governed platform collapsed that to one.
A real estate marketplace with over 250 million monthly users spanning buying, selling, renting, and financing, with data fragmented across siloed tools after years of growth, acquisitions, and strict compliance requirements.
Integrating a single acquired company's data could consume months, while cross-domain data requests between teams required weeks of manual...
“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
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.
Language barriers hid 2M products from global buyers. AI now rewrites queries to find exact matches across borders.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.