AI Integration Helps Build the Next Generation of E-Government

Author: Stephane Gagnon Abstract Academic research must rely on a clear research agenda leveraging the latest technologies for innovative applications. Hence it is essential to analyze the next research challenge in AI – that is, integrating Machine Learning (ML), Knowledge Graphs (KG), and Multi-Agent Systems (MAS). References [1] Reference [2] Reference [3] Reference Full Article

Use 'AI' to ensure [data security]


AI AGAINST AI The specific strategy to protect AI products and systems against cyber-attacks is in its infancy: data scientists and the Security IT team must put on their creative Seven League Boots to deal with the fast-moving threat. By Hubert Laferrière Data security Cybersecurity is of the outmost importance for the AI community. AI

Privacy Policy

1.       Introduction 1.1    Digital Innovation Foundation (DIF) (, as owner of the web site, is committed to safeguarding the privacy of our website visitors and service users. 1.2    This policy applies where we are acting as a data controller with respect to the personal data of our website visitors and service users; in other

The Institute on Governance joins with Analytics Leader SAS to create the Government Analytics Research Institute

TORONTO, CA (July 05, 2019) – SAS, the leader in analytics, is collaborating with the Institute on Governance (IOG), the Telfer School of Management at the University of Ottawa, the Sprott School of Business at Carleton University, and the Université du Québec en Outaouais (UQO), to create a research group focused on better understanding the