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It’s time to shelve unused data

Dataconomy

Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. Databases are the unsung heroes of AI Furthermore, data archiving improves the performance of applications and databases.

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Data Classification: Overview, Types, and Examples

Pickl AI

Summary: Feeling overwhelmed by your data? Data classification is the key to organization and security. This blog explores what data classification is, its benefits, and different approaches to categorize your information. Discover how to protect sensitive data, ensure compliance, and streamline data management.

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What is Data Classification? Guidelines, Types, & Examples

Alation

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Labeling the asset.

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MLCoPilot: Empowering Large Language Models with Human Intelligence for ML Problem Solving

Towards AI

This is where the utilization of vector databases like Pinecone becomes valuable to store all the past experiences and aids as the memory for LLMs. Storing past ML insights to guide decision making Machine learning and deep learning models transform unstructured data into numerical vectors called embeddings.

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How generative AI is transforming legal tech with AWS

AWS Machine Learning Blog

Legal professionals often spend a significant portion of their work searching through and analyzing large documents to draw insights, prepare arguments, create drafts, and compare documents. There are other components involved, such as knowledge bases, data stores, and document repositories.

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High-level architecture and components for a generative AI-based RAG solution

Flipboard

For example, for large, highly complex, and dimensional datasets that need semantic search capabilities, we suggest a vector database. The detailed architecture document can be found in the following section, and the source code can be found in this GitHub link. See available LangChain integrations for a comprehensive list.

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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, which lacks a specific form or pattern like text, images, or social media posts, both continue to grow as they are produced and consumed by various organizations.

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