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

AI 70

AI AI Machine Learning Machine Learning 70

Alation

MAY 16, 2023

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.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

Alation

MARCH 1, 2022

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.

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 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.

AI 45

AI AI Data Quality Database 45

Alation

MAY 16, 2023

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.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40