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10 Ways to Use Generative AI for Database

Analytics Vidhya

Generative AI for databases will transform how you deal with databases, whether or not you’re a data scientist, […] The post 10 Ways to Use Generative AI for Database appeared first on Analytics Vidhya. Though it appears to dazzle, its true value lies in refreshing the fundamental roots of applications.

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Choosing the Right Programming Language for A Corporate Database

Smart Data Collective

For corporations, creating a reliable and easy-to-use corporate database is a vital part of developing and maintaining a smoothly-running operation. From keeping customer information private to ensuring that financial data is safe and secure, corporate databases can play an essential role in a corporation’s ability to succeed.

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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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It’s time to shelve unused data

Dataconomy

By creating backups of the archived data, organizations can ensure that their data is safe and recoverable in case of a disaster or data breach. Databases are the unsung heroes of AI Furthermore, data archiving improves the performance of applications and databases.

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Steps Companies Should Take to Come Up Data Management Processes

Smart Data Collective

Data Management is considered to be a core function of any organization. Data management software helps in reducing the cost of maintaining the data by helping in the management and maintenance of the data stored in the database. There are various types of data management systems available.

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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 the UNDP Independent Evaluation Office is using AWS AI/ML services to enhance the use of evaluation to support progress toward the Sustainable Development Goals

AWS Machine Learning Blog

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. This is a staging database to preserve all the extraction and classification results.

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