Data Classification Database Document 
Dataconomy
SEPTEMBER 22, 2023
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.
Pickl AI
JUNE 13, 2024
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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Towards AI
MAY 3, 2023
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.
AWS Machine Learning Blog
SEPTEMBER 24, 2024
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.
AWS Machine Learning Blog
DECEMBER 5, 2023
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.
AWS Machine Learning Blog
MARCH 29, 2023
Moreover, traditional search methods didn’t work well with unstructured data, therefore the evidence base was limited. To address this challenge, the IEO decided to use AI and ML to better mine the evaluation database for lessons and knowledge. Amazon Textract is used to extract data from PDF documents.
phData
JULY 1, 2024
Cortex Search : This feature provides a search solution that Snowflake fully manages from data ingestion, embedding, retrieval, reranking, and generation. Use cases for this feature include needle-in-a-haystack lookups and multi-document synthesis and reasoning. schemas["my_schema"].tables.create(my_table) schemas["my_schema"].tables.create(my_table)
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