Tremendousadvancesin artificial intelligence (AI) have led to bursts of enthusiasm directed toward leveraging solutions designed to tackle real-worldproblems across industries. Yet, despite some well-publicized success stories, truly successful adoption of AI has been limited to date.
Indeed, even some early positive use-cases have seen new issues and challenges surface that have either hindered further deployment or led to the roll-back of AI implementation efforts. Compounding these challenges, recent legislation related to "responsible AI" has increased the bar for AI deployments.
Join this free webinar on September 19 from 12 - 1 p.m. ETand hear Dr. Alexander Wong share why trust is one of the biggest barriers to successful and sustainable deployment of AI solutions for solving real enterprise problems, and why building trustworthy AI can create a competitive advantage. He will also explore some of the key challenges in operationalizing AI in a trusted, dependable, and explainable manner, while offering potential solutions and best practices for those organizations seeking to maximize their AI investments.
Meet the speaker
Dr. Alexander Wong is currently the canada research chair in artificial intelligence and medical imaging, member of the College of the Royal Society of Canada, co-director of theVision and Image Processing Lab, and a professor in theDepartment of Systems Design Engineeringat the University of ݮƵ. He has published over 600 refereed journal and conference papers, as well as patents, in various fields such as computational imaging, artificial intelligence, computer vision, and multimedia systems. He has earned BASc, MASc and PhD degrees related to computer engineering and systems design engineering from the University of ݮƵ, where he has also received numerous institutional awards, including three Outstanding Performance Awards as well as numerous “best paper” awards at various conferences.
In addition to his academic interests, Dr. Wong’s work in Generative Synthesis has led to the founding of, a leading-edge AI company based in ݮƵ, backed by $17.8 million in venture funding, that is focused on high tech visual quality inspection.