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

IBM Journey to AI blog

Open is creating a foundation for storing, managing, integrating and accessing data built on open and interoperable capabilities that span hybrid cloud deployments, data storage, data formats, query engines, governance and metadata.

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CMU Researchers Introduce Zeno: A Framework for Behavioral Evaluation of Machine Learning (ML) Models

Marktechpost

A chatbot for taking notes, an editor for creating images from text, and a tool for summarising customer comments can all be made with a basic understanding of programming and a couple of hours. The participant in Case 2 used the API’s extensibility to create model-analysis metadata.

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Towards Behavior-Driven AI Development

ML @ CMU

With a bit of programming knowledge and a couple of hours, you can spin up a chatbot for your notes , a text-based image editor , or a tool for summarizing customer feedback. While chatbot A might sound more human-like, a practitioner will deploy chatbot B if it produces concise and accurate answers that customers prefer.

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Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

The application needs to search through the catalog and show the metadata information related to all of the data assets that are relevant to the search context. Solution overview The solution integrates with your existing data catalogs and repositories, creating a unified, scalable semantic layer across the entire data landscape.

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