Scattered data made AI features impossible to build. Unifying it unlocked search that understands traveler intent, not just keywords.
A Lufthansa Group subsidiary focused on providing seamless digital experiences, where the website search bar is the primary touchpoint for travelers finding flights and destination content.
Data was fragmented across disconnected systems, blocking the team from building AI features that required a unified data layer. Travelers...
“Earlier, our data was siloed and not fully connected, which meant many use cases we were trying to implement simply weren't possible. We needed a unified source of data to move beyond these limitations and start delivering real-time value to our users.”
Low-cost airline operating flights to European and international destinations.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Eurowings's Website search is part of this use case:
Related implementations across industries and use cases
Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Scattered data made AI features impossible to build. Unifying it unlocked search that understands traveler intent, not just keywords.
A Lufthansa Group subsidiary focused on providing seamless digital experiences, where the website search bar is the primary touchpoint for travelers finding flights and destination content.
Data was fragmented across disconnected systems, blocking the team from building AI features that required a unified data layer. Travelers...
“Earlier, our data was siloed and not fully connected, which meant many use cases we were trying to implement simply weren't possible. We needed a unified source of data to move beyond these limitations and start delivering real-time value to our users.”
Low-cost airline operating flights to European and international destinations.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Eurowings's Website search is part of this use case:
Related implementations across industries and use cases
Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.