AI News

MARCH 12, 2025

Key components of data security platforms Effective DSPs are built on several core components that work together to protect data from unauthorised access, misuse, and theft. Data discovery and classification Before data can be secured, it needs to be classified and understood. The components include: 1.

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AWS Machine Learning Blog

AUGUST 22, 2024

Discovery Navigator recently released automated generative AI record summarization capabilities. By automating the extraction and organization of key treatment data and medical information into a concise summary, claims handlers can now identify important bodily injury claims data faster than before.

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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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Pickl AI

OCTOBER 14, 2024

Median: The middle value in a dataset, helping to understand the data’s distribution. Mode: The most frequent value, useful in categorical data. Applications Descriptive Data Analysis is widely used in business reporting and dashboards. Clustering: Grouping similar data points to identify segments within the data.

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The MLOps Blog

MAY 17, 2023

Data Quality Check: As the data flows through the integration step, ETL pipelines can then help improve the quality of data by standardizing, cleaning, and validating it. This ensures that the data which will be used for ML is accurate, reliable, and consistent. 4 How to create scalable and efficient ETL data pipelines.

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Marktechpost

NOVEMBER 4, 2024

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

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Marktechpost

NOVEMBER 1, 2024

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

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