AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Use the right technology to store data For IDP workflows, most of the data is likely to be documents.

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Dataconomy

MAY 18, 2023

Organizations must address security issues in cloud computing to safeguard their assets Vulnerable gateways Cloud Service Providers (CSPs) typically offer a range of application programming interfaces (APIs) and customer interfaces, which are extensively documented to enhance their usability.

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Towards AI

MAY 3, 2023

When given a query like “classify brain tumor,” the vector database can search for documents or phrases that have similar meanings to the query. It achieves this by comparing the vector representation of the query with the vectors of the stored documents, which encompass past experiences and accumulated knowledge.

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Dataconomy

AUGUST 31, 2023

The goal of unsupervised learning is to identify structures in the data, such as clusters, dimensions, or anomalies, without prior knowledge of the expected output. This can be useful for discovering hidden patterns, identifying outliers, and reducing the complexity of high-dimensional data.

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IBM Journey to AI blog

MAY 28, 2024

Data protection policies and procedures Data protection policies help organizations outline their approach to data security and data privacy. Additionally, some data protection laws and regulations require them.

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IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy.

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IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

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Machine Learning Machine Learning Supervised Learning Clustering 92

IBM Journey to AI blog

DECEMBER 19, 2023

This is caused by: Multiple first-mile reviews to ensure no adverse business impacts, including privacy concerns, data classification, business continuity and regulatory compliance (and most of these are manual).

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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. FAQs How can I stay informed about the release of all upcoming features?

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Alation

MARCH 1, 2022

“Time is money,” said Leonard Kwok, Senior Data Analyst, ARC. “The quicker we can fix data, the sooner we can deliver to customers on time. Manual lineage gives us a quick and easy way to document data relationships and trace where it came from. Data classification via tags is a simple yet powerful capability.

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Precisely

SEPTEMBER 5, 2023

What is the language that users throughout your organization use to describe the data they work with every day? Data classification and retention policies: Data may be classified in many ways based on both internal and external policies. These can further drive usage rights, disclosure, and disclaimers.

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phData

FEBRUARY 16, 2023

The benefit of having a smaller number of larger projects is you’ll unlock a complete view of model lineage and have richer documentation across functional areas. These projects should include all functional areas within the data platform including analytics engineering, machine learning , and data science.

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Database Azure Data Classification Data Governance 52

IBM Journey to AI blog

JULY 3, 2024

Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, data classification, organization and tagging.

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IBM Journey to AI blog

JULY 7, 2023

Best practices for proactive data security Best cybersecurity practices mean ensuring your information security in many and varied ways and from many angles. Here are some data security measures that every organization should strongly consider implementing. Define sensitive data. Establish a cybersecurity policy.

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Alation

FEBRUARY 10, 2022

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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ODSC - Open Data Science

MARCH 17, 2023

Video of the Week: Automated Data Classification In this video, Alex Gorelik will be discussing automated data classification. You can find the schedule here on our website, but be sure to read on for a breakdown of what you can expect from each day.

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phData

JUNE 20, 2024

Data as the foundation of what the business does is great – but how do you support that? What technology or platform can meet the needs of the business, from basic report creation to complex document analysis to machine learning workflows? The Snowflake AI Data Cloud is the platform that will support that and much more!

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