Remove Data Classification Remove Data Lakes Remove Data Warehouse
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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

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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How foundation models and data stores unlock the business potential of generative AI

IBM Journey to AI blog

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. models are trained on IBM’s curated, enterprise-focused data lake.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes. Data classification, standardization, normalization, verification, validation, and deduplication are all examples of data processing tasks.

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Alation 2022.1: Customize Your Data Catalog

Alation

Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes. Data classification, standardization, normalization, verification, validation, and deduplication are all examples of data processing tasks.