IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. As previously mentioned, a data fabric is one such architecture.

Data Quality 130

Data Quality Metadata ETL Big Data 130

Pickl AI

OCTOBER 10, 2023

Schema A data schema defines the structure and organization of your data. It specifies the data types, relationships, and constraints within a dataset. Ensuring a consistent and well-defined schema is essential for data integrity and compatibility. Expand Your Professional Growth with Pickl.AI

Data Quality 52

Data Quality Machine Learning Data Science Data Integration 52

Marktechpost

NOVEMBER 4, 2024

In order to solve particular business questions, this process usually includes developing and managing data systems, collecting and cleaning data, analyzing it statistically, and interpreting the findings. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

Data Analysis 83

Data Analysis Machine Learning Data Science Python 83

Marktechpost

NOVEMBER 1, 2024

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 97