Remove Chatbots Remove Data Discovery Remove ETL
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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

To power AI and analytics workloads across your transactional and purpose-built databases, you must ensure they can seamlessly integrate with an open data lakehouse architecture without duplication or additional extract, transform, load (ETL) processes.

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Search enterprise data assets using LLMs backed by knowledge graphs

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A Streamlit application is hosted in Amazon Elastic Container Service (Amazon ECS) as a task, which provides a chatbot UI for users to submit queries against the knowledge base in Amazon Bedrock. The table only exists in the Data Catalog. This powerful solution opens up exciting possibilities for enterprise data discovery and insights.

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