Precisely

FEBRUARY 20, 2025

Follow five essential steps for success in making your data AI ready with data integration. Define clear goals, assess your data landscape, choose the right tools, ensure data quality and governance, and continuously optimize your integration processes.

Data Silos 69

Data Silos AI AI Data Quality 69

ODSC - Open Data Science

FEBRUARY 24, 2023

Great Expectations provides support for different data backends such as flat file formats, SQL databases, Pandas dataframes and Sparks, and comes with built-in notification and data documentation functionality. You can watch it on demand here.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

IBM Journey to AI blog

JULY 13, 2023

How to improve data quality Some common methods and initiatives organizations use to improve data quality include: Data profiling Data profiling, also known as data quality assessment, is the process of auditing an organization’s data in its current state.

Data Quality 74

Data Quality Data Profiling Data Governance Machine Learning 74

Snorkel AI

MAY 12, 2023

The magic behind these experiences is most often attributed to artificial intelligence and machine learning. That’s data. The reason is that most teams do not have access to a robust data ecosystem for ML development. billion is lost by Fortune 500 companies because of broken data pipelines and communications.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

The magic behind these experiences is most often attributed to artificial intelligence and machine learning. That’s data. The reason is that most teams do not have access to a robust data ecosystem for ML development. billion is lost by Fortune 500 companies because of broken data pipelines and communications.

Machine Learning 52

Machine Learning Machine Learning ML ML 52