Canadian AI Industry Track

Canadian AI 2021 invites industry researchers, developers, entrepreneurs and emerging startups to take part in the upcoming Industry Track of the 34th International Conference on Artificial Intelligence in Vancouver, British Columbia.

AI has seen tremendous growth in the past decade driven by the exponential growth of computational power and data.  At the same time, AI as a technology has been more accessible than ever with the proliferation of open source libraries, cloud computing, and the tremendous number of online resources for learning.  Despite such a fertile environment for AI to flourish, there are still significant challenges of applying AI to solve real-world problems.  From data issues to corner cases to algorithmic limitations, shipping industrial AI systems is anything but simple.  The aim of the industry track is to connect academic researchers, graduate students, and industry practitioners to better understand the challenges of taking AI from the lab to production.

The theme of this year’s industry track will be AI: From Theory to Practice, focusing on the challenges of applying AI to real-world problems.  Industry contributors are invited to submit a proposal for a 20 minute presentation (with an additional 5 minutes of Q&A) on a topic related to using AI to solve a real-world industrial problem.  Accepted presenters will also be invited to participate in a moderated panel discussion on the challenges of applying AI in practice.

Note
Due to COVID-19, this track will be offered both online and in person (conditions permitting).  Every presenter will have the option of participating remotely.  More information will be available as it is finalized.

Submission deadline: 26 February, 2021
Author notification: 19 March, 2021
Conference: 25-28 May, 2021

Proposal

The proposal must include the following:

• Talk title
• Name of the presenter(s), title(s) and company
• Bio of the presenter(s) (max. 100 words per presenter) for the website
• Summary of talk (max. 100 words) for the website
• Detailed description of the talk (max. 500 words) for review

Preference will be given to talks that showcase this year’s theme: AI: From Theory to Practice.  Be sure to include details about the industry, problem, and challenges you have faced when deploying AI, in addition to the solutions.

Please submit your proposal for Canadian AI Industry Track using EasyChair: https://easychair.org/conferences/?conf=cai2021

Topics of Interest

The Canadian AI Industry Track welcomes any topic that involves an industrial application of AI.  Submissions from a diverse set of industries are highly encouraged (e.g. finance, insurance, supply chain, e-commerce, marketing, manufacturing, energy sector, etc.).  

Presentation formats can range from (but are not limited to) algorithmic improvements for industrial applications, interesting applications of AI, case studies describing the practicalities of applying AI, or executive briefings on the state of AI technology in the industry.  AI topics may include, but are not limited to:

• Machine Learning (Deep Learning, Statistical Learning etc.)
• Computer Vision
• Data Mining
• Multiagent Systems
• Knowledge Representations and Reasoning
• Human-in-the-loop AI
• Natural Language Processing
• Information Retrieval/Extraction
• Planning and Scheduling
• Reasoning
• Robotics
• Perception
• Multimodal applications

Dates & Venue

Canadian AI 2021: May 25, 2021 to May 28, 2021

The conference will be held in Vancouver, British Columbia and is collocated with the Computer and Robot Vision conference.

Industry Track Chair
Brian Keng, Ph.D.
Chief Data Scientist, Kinaxis Inc.
Adjunct Professor in Data Science, Rotman School of Management, University of Toronto
brian.keng@rotman.utoronto.ca