Remove tags transformers
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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO Business Intelligence

The implementation of digital transformation has been underway, but moving slowly for over a decade. With the emergence of GenAI capabilities, fast-tracking digital transformation deployments are likely to change manufacturing as we know it, creating an expanding chasm of leaders versus followers, the latter of which will risk obsolescence.

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Introducing enhanced functionality for worker configuration management in Amazon MSK Connect

AWS Big Data

MSK Connect now supports the ability to delete MSK Connect worker configurations, tag resources, and manage worker configurations and custom plugins using AWS CloudFormation. The connector can also perform lightweight tasks such as transformation, format conversion, or filtering data before delivering the data to a destination.

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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

As part of the results, we show how AWS Glue Data Quality provides information about the runtime of extract, transform, and load (ETL) jobs, the resources measured in terms of data processing units (DPUs), and how you can track the cost of running AWS Glue Data Quality for ETL pipelines by defining custom cost reporting in AWS Cost Explorer.

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AWS Lake Formation 2023 year in review

AWS Big Data

Easily and securely prepare, share, and query data – This session shows how you can use Lake Formation and the AWS Glue Data Catalog to share data without copying, transform and prepare data without coding, and query data. Tag-based access control removes the need to update your policies every time a new resource is added to the data lake.

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Automated data governance with AWS Glue Data Quality, sensitive data detection, and AWS Lake Formation

AWS Big Data

In this post, we showcase how to use AWS Glue with AWS Glue Data Quality , sensitive data detection transforms , and AWS Lake Formation tag-based access control to automate data governance. For the purpose of this post, the following governance policies are defined: No PII data should exist in tables or columns tagged as public.

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Building a Named Entity Recognition model using a BiLSTM-CRF network

Domino Data Lab

This dataset is based on the GMB ( Groningen Meaning Bank ) corpus, and has been tagged, annotated and built specifically to train a classifier to predict named entities such as name, location, etc. The tags used in the dataset follow the IOB format, which we cover in the next section. The IOB format. a noun group, a verb group etc.)

Modeling 111
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Tackle Your Text With Natural Language Processing (NLP) in Dataiku

Dataiku

It used to be that “performing text analysis” meant reading hundreds of individual comments or documents to manually tag them and identify sentiment and key themes.