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Conferences & lectures

Driving innovation with applied AI

Gina Cody School Distinguished Alumni Speaker Series

Date & time

Wednesday, September 16, 2020
7 p.m. – 8 p.m.

Registration is closed


Richard Howe, BEng 88, Chairman and CEO of Inuvo Inc.


This event is free


University Advancement



Wednesday, September 16

Join us for a conversation with distinguished alumnus, Richard Howe, BEng 88, Chairman and CEO of Inuvo Inc.

Richard will discuss how he transformed a once failing company into a market leader in artificial intelligence and how his organization is leveraging AI to solve problems and drive innovation.

Richard will be joined by Tristan Glatard, Associate Professor in Concordia's Department of Computer Science and Software Engineering and Canada Research Chair on Big Data Infrastructures for Neuroinformatics.

Also, learn more about Concordia’s plans for a new Institute for Applied AI from Emad Shihab, Associate Dean, Research and Graduate Studies.

Richard Howe, BEng 88

Richard Howe, BEng 88

Chairman and CEO, Inuvo

Richard Howe is an accomplished entrepreneur and technology executive who is currently the Chairman and CEO of artificial intelligence technology innovator Inuvo — a $65 million a year business that has reimagined how information is captured and used to create online audiences for brands and agencies.

His business successes have included building multi-million-dollar startups, running billion dollar corporations, merging public and private companies, acquiring strategic assets, reinventing technology businesses, and developing high performing teams across three continents.

Rich is a patented inventor having specialized in machine learning, analytics and big data technologies that have addressed problems in marketing, fraud detection and risk management. Among his experiences, he was a senior executive at FinTech innovator Fair Isaac, the inventor of the FICO analytic score which profoundly changed the way credit worthiness is evaluated in North America, was Chief Strategy Officer at the Acxiom Corporation, a marketing technology information processing pioneer, and a member of the team at HNC Software that commercialized neural network-based technologies that are used to this day across North America for the prevention of credit card fraud.

Rich also sits on the boards of two startup technology companies and is active in various philanthropic and government initiatives, having served on numerous governor-appointed commissions for the advancement of technology in the state of Arkansas.

Tristan Glatard

Associate Professor
Concordia's Department of Computer Science and Software Engineering 

Tristan Glatard

Tristan Glatard is the Canada Research Chair (Tier II) on Big Data Infrastructures for Neuroinformatics, head of the Big Data Infrastructures for Neuroinformatics lab, and member of Concordia's PERFORM centre and Data Science Research Centre.

His research goal is to build platforms for the efficient and reproducible processing of Big Data. The main applications of his work are in medical image analysis, in particular neuroimaging.

He is also adjunct professor at McGill's School of Computer Science and was previously a researcher at the French National Center for Scientific Research.

Emad Shihab

Associate Dean, Research and Graduate Studies
Associate Professor and Concordia Research Chair, Gina Cody School of Engineering and Computer Science

Emad Shihab

Emad Shihab is the Associate Dean of Research and Graduate Studies, as well as an Associate Professor and Concordia Research Chair in the Department of Computer Science and Software Engineering. 

Emad’s general research area is Software Engineering. He is particularly interested in Mining Software Repositories, Software Quality Assurance, Software Maintenance, Empirical Software Engineering, Mobile/wearable Applications and Software Architecture.

Emad mines historical project data and applies Data Mining, Artificial Intelligence and Statistical Analysis techniques to build pragmatic solutions that practitioners can use to maximize their software quality with the least amount of resources. Some of his research has been done in collaboration with and/or adopted in industry by companies such as Avaya, Microsoft, BlackBerry and Ericsson.

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