With increased data volumes and complicated data ecosystems, businesses can no longer “wish” their way into maintaining data integrity. As a result, the C-suite has come to realize a robust data ...

Collibra and SAP Master Data Governance assist organizations that want to better govern and manage their business’s data. But which solution is best for your business’s needs? Evaluate Collibra vs SAP ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

Explore the top data governance tools of 2025 designed to enhance data security, compliance and management. IBM offers a comprehensive suite of governance solutions that cover automation, policy ...

Founded out of Helsinki in 2016, Aiven essentially solves many of the headaches involved in running open source software, which permeates just about every modern technology stack. From scripts that ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More We’ve all heard the saying that “every company is a software company” at ...

The field of spatial governance is undergoing profound change with the rise of digital technologies and artificial intelligence (AI). Traditionally, public ...

Higher ed AI adoption is surging—but governance is lagging. New data reveals major risks from unstructured use and outlines a 90-day fix.

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

Data lineage is the process of identifying the source of data, recording the transformations and flows of data over time, and visualizing data flow from sources to end users. Data lineage empowers ...