IBM Journey to AI blog

JULY 3, 2024

Open is creating a foundation for storing, managing, integrating and accessing data built on open and interoperable capabilities that span hybrid cloud deployments, data storage, data formats, query engines, governance and metadata. Trusted, governed data is essential for ensuring the accuracy, relevance and precision of AI.

AI 45

AI Data Quality AI Database 45

Precisely

OCTOBER 12, 2023

Documenting what data is most important , then understanding what policies apply, where that data is, and how it fits into the overall compliance picture for financial services. Monitoring and improving business quality rules and technical quality rules to define what “good” looks like.

Data Quality 64

Data Quality Data Governance ML ML 64

Pickl AI

JULY 24, 2024

Bias Systematic errors introduced into the data due to collection methods, sampling techniques, or societal biases. Bias in data can result in unfair and discriminatory outcomes. Read More: Data Observability vs Data Quality Data Cleaning and Preprocessing Techniques This is a critical step in preparing data for analysis.

Data Quality 52

Data Quality Machine Learning Machine Learning Clean Data 52