Data managers, administrators, engineers, and analysts know more than anyone what kind of data is available to enterprises seeking to compete in the AI and analytics age. However, their perceptions of ...

As companies rely more heavily on real-time analytics and AI-driven tools, data engineering is evolving into a role that ...

Data is the lifeblood of search. The remarkable evolution of AI and the introduction of generative AI has been built on data foundations. However, the success of any innovation, product, or ...

Learn how sales intelligence ensures firmographic accuracy in 2025. Rohit Muthyala details machine learning pipelines and ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

We all understand the importance of data quality. Metrics—such as third-party validations, match rates, and accuracy scores—help us assess data quality on its own terms. Yet, too often, organizations ...

In today's data-driven healthcare landscape, medical imaging stands at the forefront of diagnosis and treatment planning. From X-rays and MRIs to CT scans and ultrasounds, these images provide crucial ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...

Harnessing data to improve the equity, affordability, and quality of the health care system. In association withJPMorgan Chase The application of AI to health-care data has promise to align the U.S.

Nearly every major privacy law requires “data quality,” but it’s become the most forgotten of all of the internationally recognized privacy principles. Why? Three reasons: The laws provide few details ...