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 Data Quality AI Database 45

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? These questions drive classification. Once you have data classification then you can talk about whether you need to tokenize and why, or anonymize and why, or encrypt and why, etc.” Data Collaboration Data discovery has increasingly become a team sport.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

Alation

OCTOBER 28, 2021

To make good on this potential, healthcare organizations need to understand their data and how they can use it. These systems should collectively maintain data quality, integrity, and security, so the organization can use data effectively and efficiently. Why Is Data Governance in Healthcare Important?

Data Governance 52

Data Governance Database Data Quality Data Classification 52

Mlearning.ai

NOVEMBER 29, 2023

Decision Trees ML-based decision trees are used to classify items (products) in the database. This means that it is best used for elaborating data classifications in conjunction with other efficient algorithms. For instance, when used with decision trees, it learns to outline the hardest-to-classify data instances over time.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Flipboard

MARCH 21, 2025

Global policies such as data dictionaries ( business glossaries ), data classification tags, and additional information with metadata forms can be created by the governance team to ensure standardization and consistency within the organization. You will see a new database dev@ in the managed Amazon Redshift Serverless workgroup.

SQL 136

SQL Data Analyst Data Warehouse AWS 136

phData

JUNE 20, 2024

Establishing a data culture changes this paradigm. Data pipelines are standardized to ingest data to Snowflake to provide consistency and maintainability. Data transformation introduces data quality rules, such as with dbt or Matillion, to establish trust that data is ready for consumption.

Data Governance 52

Data Governance Analytics Analytics Power BI 52