AI Governance – An Implementation Use Case
The economic value of AI is expected to reach 17,5 trillions dollars by 2030. Yet, in 2020, 80% of all AI initiatives never went to production; the average ROI on AI is currently below 1,3%.
In the presentation, we will review the main reasons for the failure of AI initiatives (hint: Technology is NOT one of the main reason) and review a simple framework to proactively address AI related risks.
Through a real use case, we will analyze the strategy and step-by-step actions that will help your organization to improve its AI Governance Readiness and Maturity.
Mario Cantin is the founder and CEO of Prodago. Mario has worn many hats in his career: programmer, analyst, architect, DBA, information technology manager, project manager, framework developer, entrepreneur, and strategist. Before founding Prodago, Mr. Cantin held a variety of data leadership positions with notable companies such as Hydro-Quebec, Cirque du Soleil, Standard Life, National Bank of Canada, Schering, Desjardins, Bell, Gaz Metro, Government of Canada, CSN, FTQ, Alcan, and Rogers. A respected expert in his field, Mario is a sought-after speaker and a passionate communicator.
His thought leadership on data and analytics governance and data management has left its mark with many audiences and influenced key actors over the years. His focus for the past ten years has been on Data and Analytics Governance, and more recently, on the use of governance to mitigate the risks created by the pervasive application of Advanced Analytics and Artificial Intelligence. Working with international organizations like Gartner and other industry thought leaders, he developed the Lean Data Governance approach and the subsequent Data and Analytics Governance Operating Model.
Mr. Cantin holds a Master in Business Administration (M.B.A.) from HEC Montréal and a B.A. in Mechanical Engineering from École Polytechnique. He is a Certified Information Privacy Manager from IAPP.