Remove Data Discovery Remove Generative AI Remove Metadata
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Unstructured data management and governance using AWS AI/ML and analytics services

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But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses.

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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning Blog

Knowledge Bases for Amazon Bedrock automates the end-to-end RAG workflow, including ingestion, retrieval, prompt augmentation, and citations, so you don’t have to write custom code to integrate data sources and manage queries. If the data needs to be purged immediately from the service account, you can contact the AWS team to do so.

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Towards Behavior-Driven AI Development

ML @ CMU

Generative AI systems such as ChatGPT or Stable Diffusion make evaluation even more challenging since there are no well-defined metrics that can summarize their performance. When creating deployed AI products, practitioners instead focus on the specific use cases their customers have and whether or not their models are fulfilling them.

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IBM watsonx Platform: Compliance obligations to controls mapping

IBM Journey to AI blog

The enhanced metadata supports the matching categories to internal controls and other relevant policy and governance datasets. These components are built on top of IBM’s leading AI technology, and they can be deployed on any cloud and on prem. Within the IBM watsonx.ai

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Search enterprise data assets using LLMs backed by knowledge graphs

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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. This allows FMs to retain their inductive abilities while grounding their language understanding and generation in well-structured domain knowledge and logical reasoning.

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