How GasBuddy uses pattern recognition to predict gas prices
Jason Toews, CEO of GasBuddy
Gas prices can fluctuate as much as 20% station to station, day to day, or even hour to hour. When your business is to show where the lowest gas prices are, you need to keep your gas prices as accurate as possible a tricky proposition when your main source of data is user generated. How do you know which prices are bad before a user complains? How do you predict where gas prices should be? GasBuddy CEO Jason Toews reveals how GasBuddy developed pattern recognition systems to keep bad prices out.
From prototype to product: building Datacratics real-time machine learning platform
Francois Maillet, Machine Learning Team Lead at Datacratic
Datacratic is a software company that applies machine learning to model realtime consumer behavior. We are building general ML platform that we use to solve problems we are encountering in the online advertising industry: scaling to hundreds of million of users, making over 100k predictions per second while updating models in realtime, extremely sparse datasets, etc. This talk will go over some of our products and explain how ML is used while looking at some key challenges we had to overcome to turn our algorithms and prototypes into working products.
Why Artificial Intelligence is Important to Retail
Ken Konkel, Manager, RQ4
RQ4 is the new generation of wireless POS and retail management software from iQmetrix, combining the comprehensive functionality that clients have come to rely on to manage their wireless retail business with a new look and feel -- and some great new features -- for superior user experience and increased productivity. The intuitive and user-friendly design of RQ4 allows retail staff to serve customers faster, more effectively and with greater confidence than ever before. What makes RQ4 unique is the reach of the application across an organization that is both broad and deep, with rich amounts of data being consumed and presented back to the user for real-time feedback.
Canadian AI 2013 invites industry leaders to take part in the upcoming 26th International Conference on Artificial Intelligence (AI 2013), in order to bring together people from both academia and industry in a venue that highlights innovative applications and practical impact studies of Artificial Intelligence.
Call for Submissions
Canadian AI 2013 is hosting an Industry Track to allow the business community to present products that utilize or enrich Artificial Intelligence. We invite industry vendors to submit brief presentations for this track. No formal accompanying paper is required. We encourage product and service vendors who may or may not be exhibiting at Canadian AI 2013 to give a presentation about their products or services.
As industrial contributor you will have the opportunity to share interests and expectations to influence the development of the field. Canadian AI 2013 will give you the opportunity to join the global network of academic experts and industrials.
The proposal must include the following:
- Talk title
- Summary (max. 100 words): for the AI 2013 website
- Description (max. 300 words): Detailed outline, for review
Topics of Interest
Topics of interest include, but are not limited to:
- Agent Systems AI Applications Automated Reasoning Bioinformatics and BioNLP
- Case-based Reasoning
- Cognitive Models
- Constraint Satisfaction
- Data Mining
- Evolutionary Computation
- Information Extraction
- Information Retrieval
- Knowledge Representation
- Machine Learning
- Multi-media Processing
- Natural Language Processing
- Neural Nets
- Question Answering
- Smart Graphics
- User Modeling
- Web Applications
Submissions must by received by March 10, 2013 and authors will be notified by March 20, 2013.
30 minutes for most talks
Student Scholarship & Award 2013
CAIAC invites qualified candidates undergraduate students, graduate students and post-doctoral fellows to apply for an industrial grant from CAIAC, which covers travel costs for attending the AI 2013 conference.
Deadline to apply
Documents needed to apply
- One-page proposal: You should write a one-page proposal explaining how your research work is related to industrial applications and why you would like to attend the AI conference.
- Your CV and a brief biography available for reference
- Recommendation letter: A Recommendation letter from your reference is required. This reference could be your supervisor or a faculty member.
Who can apply?
Undergraduate students, graduate students and post-doctoral fellows can apply for this grant. Qualified candidates who meet the grant eligibility requirements will receive $800.
How to apply?
If you wish to be considered as a potential candidate for an industrial grant from CAIAC, please complete the required documents. Once you have completed the proposal, send it as an attachment by email to the Industry Chair for AI 2013 : Dr. Narjès Boufaden (email@example.com).
Conference Sponsorship Opportunities
If your organization is interested in sponsoring the conference at any level, please contact the industry chair: Dr. Narjès Boufaden (firstname.lastname@example.org).
- Narjès Boufaden, Ph.D., President at KeaText
- Saïd Radhouani, PhD., IT Director – Content, Search, and Distribution at Yellow Pages Group
- Alexandre Patry, Ph.D., Researcher at KeaText
- David Nadeau, CTO, MediaMiser Ltd., Ottawa, ON