Databricks Genie is a conversational analytics capability within the Databricks Data Intelligence Platform that allows users to interact with data using natural language.
With Databricks Genie, users can ask questions in plain language and receive responses generated from live, governed data. Queries are automatically interpreted and translated into data operations, with results returned in clear formats such as tables or summaries.
Databricks Genie is designed for both business and technical users, reducing reliance on manual querying and reporting tools. It can interpret data relationships and business context to improve the relevance of responses.
Databricks Genie works alongside Mosaic AI and Unity Catalog, ensuring that all outputs are based on secure and controlled data sources.
A structured approach to Databricks Genie supports consistent and reliable access to data across the organisation.
Without the right setup, challenges can include
Databricks Genie addresses these issues by enabling self service analytics through natural language, reducing reliance on technical teams and improving access to insight.
It also supports faster access to information by allowing users to ask questions directly, rather than waiting for reports or queries to be developed.
Assessment of data environments, access needs, and priority use cases
Organisation of datasets with clear definitions to support accurate responses
Creation of Genie assistants connected to approved data sources with governance applied
Testing outputs with users to improve accuracy and usability
Evaluation of results and planning for wider rollout
A structured Databricks Genie implementation supports improved use of data across teams.
Enable users to interact with data using natural language
Provide responses based on governed and structured data
Reduce delays associated with manual reporting
Apply governance policies across all interactions
Introduce AI assistants in a controlled and scalable way
Telefónica Tech delivers data and AI services across the UK with a focus on secure and scalable solutions.
Our specialists combine platform knowledge with hands on delivery experience, supporting organisations across the UK to implement Databricks Genie in a way that produces accurate, consistent, and trusted data responses.
Every Databricks Genie implementation is delivered through a clear methodology, ensuring assistants are configured, tested, and aligned to business needs so they can be used effectively across teams.
We ensure Databricks Genie reflects how your organisation defines and uses data, so outputs are meaningful, consistent, and relevant to day to day decision making.
We support you at every stage of your Databricks Genie journey, from initial setup and data preparation through to expanding use cases and supporting wider adoption across the organisation.
Databricks Genie enables organisations to interact with data through AI assistants built on governed enterprise data.
Telefónica Tech can support your Databricks Genie implementation, ensuring a structured and effective rollout.
Contact the team to get started with Databricks Genie.
Databricks Genie is an AI powered conversational analytics capability within the Databricks Data Intelligence Platform that allows users to query enterprise data using natural language and receive responses based on governed data sources.
A Databricks Genie implementation is the process of configuring AI assistants, preparing data, and applying governance controls so users can interact with enterprise data securely and accurately.
Databricks Genie allows users to ask questions in plain language and receive responses without needing to write queries or use complex reporting tools, making data more accessible across teams.
Yes. Databricks Genie operates within governance frameworks such as Unity Catalog, ensuring that data access controls and policies are applied to every interaction.
Initial implementations can be completed in a short engagement, often within a few days for a proof of concept, depending on data readiness and use case complexity.
