Precisely

MAY 16, 2024

To achieve trustworthy AI outcomes, you need to ground your approach in three crucial considerations related to data’s completeness, trustworthiness, and context. You need to break down data silos and integrate critical data from all relevant sources into Amazon Web Services (AWS).

AI 69

AI AI AWS Data Quality 69

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Lakes 52

Data Lakes Data Warehouse Data Governance Machine Learning 52

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 AI Data Quality Database 45

Precisely

FEBRUARY 9, 2024

When it comes to AI outputs, results will only be as strong as the data that’s feeding them. Trusting your data is the cornerstone of successful AI and ML (machine learning) initiatives, and data integrity is the key that unlocks the fullest potential.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Precisely

OCTOBER 12, 2023

When we look by the numbers at the trends influencing data strategies, the survey says that organizations are … increasing flexibility, efficiency, and productivity while lowering costs through cloud adoption (57%) and digital transformation (43%) focusing on technologies that will help them manage resource shortages. Intelligence.

Data Quality 64

Data Quality Data Governance ML ML 64