From 9 to 11 March 2026, senior policymakers and regulators from The Gambia, Ghana, Liberia, Nigeria and Sierra Leone convened in Banjul for a high-level regional training on data governance. Hosted ...

Data governance encompasses the people, processes, and technologies used to guide how data stewards and data consumers interact with university data assets. Data governance provides guidance on how to ...

As governments grapple with how to regulate data and artificial intelligence, UNESCO and United Nations Development Programme (UNDP) have launched a joint capacity‑building initiative titled Data ...

Introduction: The Data Paradox For decades, organizations have treated data as an asset, collected, analysed, and leveraged for competitive advantage. Data-driven decision-making promised benefits ...

Data has transitioned from a secondary consideration to the backbone of business metamorphosis, tailored mainly by the opportunities engendered by artificial intelligence. In contradistinction, data ...

Find out how data governance tools help you implement a common policy throughout your organization, helping to keep information consistent and up to date. Requires training and change management ...

School districts collect vast amounts and varieties of data, from student performance and attendance to staff information and operational systems. Ideally, this data can enable informed ...

The arrival of DeepSeek’s R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large ...

Ensure the ethical and responsible use of Purdue University data. Ensure data does not enter 3rd party AI tools without appropriate legal agreements. Ensure any AI tool going to production follows ...