WiML 2018
2018-12-03 08:00 - 17:00 (America/New_York)
The 13th annual Women in Machine Learning workshop will be colocated with NIPS 2018 in Montreal, Canada in December 2018. See the workshop website for details!
Machine learning is one of the fastest growing areas of computer science research. Search engines, text mining, social media analytics, face recognition, DNA sequence analysis, speech and handwriting recognition, healthcare analytics are just some of the applications in which machine learning is routinely used.
In spite of the wide reach of machine learning and the variety of theory and applications, it covers, the percentage of female researchers is lower than in many other areas of computer science. Most women working in machine learning rarely get the chance to interact with other female researchers, making it easy to feel isolated and hard to find role models.
The annual Women in Machine Learning Workshop is the flagship event of Women in Machine Learning. This technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, network and exchange ideas, participate in career-focused panel discussions with senior women in industry and academia and learn from each other. Underrepresented minorities and undergraduates interested in machine learning research are encouraged to attend. We welcome all genders; however, any formal presentations, i.e. talks and posters, are given by women. We strive to create an atmosphere in which participants feel comfortable to engage in technical and career-related conversations.
Now in its 13th year, the 2018 workshop is co-located with NIPS in Montreal, Canada. A History of WiML posterwas created to celebrate the 10th workshop, also held in 2015 in Montreal, Canada.
Besides this annual workshop, Women in Machine Learning also organizes events such as lunch at ICML and AAAI conferences, maintains a public directory of women active in ML, profiles the research of women in ML, and maintains a list of resources for women working in ML.

AI for Social Good workshop
2018-12-07 08:00 - 2018-12-08 17:00 (America/New_York)
NIPS2018 Workshop

The AI for Social Good workshop will focus on social problems for which artificial intelligence has the potential to offer meaningful solutions. The problems we chose to focus on are inspired by the United Nations Sustainable Development Goals (SDGs), a set of seventeen objectives that must be addressed in order to bring the world to a more equitable, prosperous, and sustainable path. In particular, we will focus on the following areas: health, education, protecting democracy, urban planning, assistive technology for people with disabilities, agriculture, environmental sustainability, economic inequality, social welfare and justice. Each of these themes present opportunities for AI to meaningfully impact society by reducing human suffering and improving our democracies.
The AI for Social Good workshop divides the in-focus problem areas into thematic blocks of talks, panels, breakout planning sessions, and posters. Particular emphasis is given to celebrating recent achievements in AI solutions, and fostering collaborations for the next generation of solutions for social good.
First, the workshop will feature a series of invited talks and panels on agriculture and environmental protection, education, health and assistive technologies, urban planning and social services. Secondly, it will bring together ML researchers, leaders of social impact, people who see the needs in the field as well as philanthropists in a forum to present and discuss interesting research ideas and applications with the potential to address social issues. Indeed, the rapidly expanding field of AI has the potential to transform many aspects of our lives. However, two main problems arise when attempting to tackle social issues. There are few venues in which to share successes and failures in research at the intersection of AI and social problems, an absence this workshop is designed to address by showcasing these marginalized but impactful works of research. Also, it is difficult to find and evaluate problems to address for researchers with an interest on having a social impact. We hope this will inspire the creation of new tools by the community to tackle these important problems. Also, this workshop promotes the sharing of information about datasets and potential projects which could interest machine learning researchers who want to apply their skills for social good.
The workshop also explores how artificial intelligence can be used to enrich democracy, social welfare, and justice. A focus on these topics will connect researchers to civil society organizations, NGOs, local governments, and other organizations to enable applied AI research for beneficial outcomes. Various case-studies and discussions are introduced around these themes: summary of existing AI for good projects and key issues for the future, AI’s impact on economic inequality, AI approaches to social sciences, and civil society organizations. The definition of what constitutes social good being essential to this workshop, we will have panel discussions with leading social scholars to frame how contemporary AI/ML applications relate to public and philosophical notions of social good. We also aim to define new, quantifiable, and impactful research questions for the AI/ML community. Also, we would like as an outcome of this event the creation of a platform to share data, a pact with leading tech companies to support research staff sabbaticals with social progress organizations, and the connection of researchers to on-the-ground problem owners and funders for social impact.
We invite contributions relating to any of the workshop themes or more broadly any of the UN SDGs. The models or approaches presented do not necessarily need to be of outstanding theoretical novelty, but should demonstrate potential for a strong social impact. We invite two types of submissions. First, we invite research work as short papers (4 page limit) for oral and/or poster presentation. Second, we invite two page abstracts presenting a specific solution that would, if accepted, be discussed during round-table events. The short papers should focus on past and current work, showcasing actual results and ideally demonstrated beneficial effect on society, whereas the two page abstracts could highlight ideas that have not yet been applied in practice. These are designed to foster sharing different points of view ranging from the scientific assessment of feasibility, to discussion of practical constraints that may be encountered when they are deployed, also attracting interest from philanthropists invited to the event. The workshop provides a platform for developing these two page abstracts into real projects with a platform to connect with stakeholders, scientists, and funders.

Fin-ML/IVADO finance and insurance workshop
2019-05-13 - 2019-05-17
Summary
The Fin-ML/IVADO Workshop is a one-week practical training in machine learning, applied to concrete problems in finance and insurance. This workshop will consist of theory in the morning, followed by problem-solving workshops in finance and insurance in the afternoon.
The workshop will be held in English. Participants will have to bring their laptops for the practical part, no special installation is required.

Objectives

Train professionals in new technologies in data science, machine learning and operations research;
Develop an understanding of the challenges and issues of data science applied to a specific field;
Learn to use computer tools to solve concrete problems;
Foster knowledge sharing and facilitate networking among specialists in a particular field;
Encourage interdisciplinary knowledge sharing.

Prerequisites
Basic knowledge of mathematics and programming (ideally Python) is strongly recommended.

Organizers

Manuel Morales, Université de Montréal
Rheia Khalaf, Université de Montréal / IVADO
Brian Moore, IVADO

Contact
For any inquiries, please contact us at formations@ivado.ca.

Dates and place
May 13-17, 2019: The workshop will be held in English at HEC Montréal (PWC, Côte Ste-Catherine).

Prerequisites
Basic knowledge of mathematics and programming (ideally Python) is strongly recommended.

Organizers

Manuel Morales, Université de Montréal
Rheia Khalaf, Université de Montréal / IVADO
Brian Moore, IVADO

Contact
For any inquiries, please contact us at formations@ivado.ca.

More info >>

Fourth international conference on health care systems engineering (HCSE 2019)
2019-05-30 08:00 - 2019-06-01 17:00 (America/New_York)
HCSE 2019 provides an opportunity to discuss operations management issues in health care delivery systems. Scientists and practitioners will have the opportunity to discuss about new ideas, methods and technologies for improving the operation of health care organizations. The event will take place in the mother and child university hospital CHU Saint-Justine of Montréal (with hospital tour) and each session will be co-chaired by a discussant coming from the clinical practice. HCSE 2019 is the fourth edition of the HCSE conferences, coming for the first time in North America.

IVADO-Mila Summer School on Bias in AI
2019-06-03 08:00 - 2019-06-06 17:00 (America/New_York)
Algorithms, and the data they process, play an increasingly important role in decisions with significant consequences for human welfare. While algorithmic decision-making processes have the potential to lead to fairer and more objective decisions, emerging research suggests that they can also lead to unequal and unfair treatments and outcomes for certain groups or individuals.
This Summer School is an attempt to engage multi-disciplinary teams of researchers and practitioners to explore the social and technical dimensions of bias, discrimination and fairness in machine learning and algorithm design. The course focuses specifically (although not exclusively) on gender, race and socioeconomic based bias and data-driven predictive models leading to decisions.
A basic understanding of machine learning is strongly recommended.
Objectives

Understanding bias and discrimination
Exploring the harms from bias in machine learning (discriminatory effects of algorithmic decision-making)
Identifying the sources of bias and discrimination in machine learning
Mitigating bias in machine learning (strategies for addressing bias)
Recommendations to guide the ethical development and evaluation of algorithms

Confirmed Speakers

Behrouz Babaki, IVADO Post-Doc at Polytechnique Montreal
Fernando Diaz, Principal Researcher and lead of the Montreal FATE Research Group at Microsoft
Marc-Antoine Dilhac, Professor of Philosophy at the Université de Montréal, Chair Holder – Canada Research Chair in Public Ethics and Political Theory, Leader of the Montreal Declaration Responsible AI Development Committee
Luc Faucher, Professor of Philosophy at the Université du Québec à Montréal
Golnoosh Farnadi, IVADO Post-Doc at Polytechnique Montreal
Moritz Hardt, Assistant Professor, Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley
Emre Kiciman, Principal Researcher at Microsoft Research AI
Margaret Mitchell, Senior Research Scientist, Google Research and Machine Intelligence
Petra Molnar, Lawyer and Researcher, International Human Rights Program, University of Toronto Faculty of Law
Deborah Raji, Engineering Science Student at the University of Toronto
Tania Saba, Professor of Industrial Relations at Université de Montréal, Chair Holder – BMO Diversity and Governance, Université de Montréal
Pedro Saleiro, Post-doc, Aequitas, Center for Data Science and Public Policy, University of Chicago
Cynthia Savard Saucier, Director UX at Shopify and author of Author of Tragic Design (O’Reilly)
Nicolas Vermeys, Professor of Law at the Université de Montréal and Assistant Director of the Cyberjustice Laboratory
RC Woodmass, Founder of Queerit and Product Designer at Crescendo
Research Interns at Mila and co-founders of Biasly AI: Andrea Eunbee Jang, Yasmeen Hitti and Carolyne Pelletier

Preliminary Program
Day 1: Bias and inclusion in AI

Opening remarks
Keynote and Introduction
Understanding bias and discrimination
AI and social justice
The tech diversity problem
Introduction to Machine Learning and automated decision-making (optional)

Day 2: Fairness in pre-processing

Introduction
Bloc 1: Fairness in pre-processing (fairness in data)

Technical session
Case studies
Hands-on

Day 3: Fairness in processing and post-processing

Bloc 2: Fairness in processing/Fairness in design

Technical session
Case studies

Bloc 3: Fairness in post-processing/Fairness in decision

Technical session
Case studies

Day 4 – Governance, recommendations and future directions

Community-driven initiatives:

Montreal Declaration for a Responsible Development of Artificial Intelligence
Other initiatives (TBD)

Bias in the private sector: Challenges and recommendations
Bias in the public sector: Challenges and recommendations
Closing Panel discussion

Registration
Registration will open on March 11th at 12h00.

Government and industry employees: $1500
Non-profit organization (NPO): $400
Student: $200

IVADO also offers fee waivers to eligible students, which covers the registration fee for the Summer School. To be eligible, please fill the following form available in English or French before March 29, 2019.
Organizing Committee

Jihane Lamouri, Diversity coordinator, IVADO
Golnoosh Farnadi, Postdoc researcher, IVADO
Martin Gibert, Ethics researcher, IVADO
Brian Moore, Training coordinator, IVADO

Contact
For any inquiries, please contact us at formations@ivado.ca.
Registration >>

Salon International de la Femme Noire
2019-06-09
The Salon International de la Femme Noire

is a Montreal platform whose mission is to celebrate Black women and their influence over time and generations. This major event will instill self-esteem, and give the impetus for self-improvement that every Black woman needs to fulfill her ambitions.
It’s an interactive space:

To discover the universe of the Black and mixed-race woman through her eyes;
To discuss the place of the Black and mixed-race woman of yesterday, today and the future;
To share news on topics of interest to Black and mixed race women

It’s a space to get resources:

To meet the needs of Black and mixed-race women considering their cultural and socio-economic situation;
To access targeted services;
To support the success of their social integration.

It’s more than an event, it’s a movement!

IVADO is proud to sponsor this event!

Fin-ML/IVADO Workshop on finance and insurance, members only
2019-06-10 - 2019-06-14
Summary
The Fin-ML/IVADO Workshop is a one-week practical training in machine learning, applied to concrete problems in finance and insurance. This workshop will consist of theory in the morning, followed by problem-solving workshops in finance and insurance in the afternoon.
The workshop will be held in English. Participants will have to bring their laptops for the practical part, no special installation is required.

Objectives

Train professionals in new technologies in data science, machine learning and operations research;
Develop an understanding of the challenges and issues of data science applied to a specific field;
Learn to use computer tools to solve concrete problems;
Foster knowledge sharing and facilitate networking among specialists in a particular field;
Encourage interdisciplinary knowledge sharing.

Prerequisites
Basic knowledge of mathematics and programming (ideally Python) is strongly recommended.

Organizers

Manuel Morales, Université de Montréal
Rheia Khalaf, Université de Montréal / IVADO
Brian Moore, IVADO

Contact
For any inquiries, please contact us at formations@ivado.ca.

Dates and place
June 10-14, 2019: The workshop will be held in French at HEC Montréal (PWC, Côte Ste-Catherine).

Prerequisites
Basic knowledge of mathematics and programming (ideally Python) is strongly recommended.

Organizers

Manuel Morales, Université de Montréal
Rheia Khalaf, Université de Montréal / IVADO
Brian Moore, IVADO

Contact
For any inquiries, please contact us at formations@ivado.ca.
More info >>

IVADO/Mila Deep Learning School (5th edition)
2019-06-10 08:00 - 17:00 (America/Toronto)
Summary
Deep learning is a machine learning technique that has significantly improved previous results in computer vision, speech recognition, machine translation and other areas. Many other areas are affected by this new technology, or will be. In response to the interest generated by this technology, and in response to training needs, IVADO and Mila are offering a full week of training in English from September 9 to 13, 2019 in Montréal. IVADO and Mila are also partnering with the UBC Data Science Institute to offer this training in Vancouver from December 2 to 6, 2019.

Target audience
The content of this school is mainly aimed at industry professionals and SMEs with basic knowledge of mathematics and programming (engineers, computer scientists, statisticians, technical project managers, product managers, systems engineers, etc.), but professors and graduate students in science or engineering (mainly those who are not yet familiar with deep learning) may also find it interesting.

Prerequisites
A minimal knowledge of programming (ideally Python) and basic knowledge in mathematics (linear algebra, statistics) is desirable.

Objectives
At the end of the training week, participants should be able to:

Understand the basics and terminology related to deep learning
Understand the methodology for carrying out a project in deep learning
Identify the types of neural networks to use to solve different types of problems
Get familiar with deep learning libraries through practical and tutorial sessions

More info >>

Atelier sur les systèmes de recommandation
2019-08-20 - 2019-08-23 | HEC Montréal, 3000, chemin de la Côte-Sainte-Catherine, Montréal , québec, H3T 2A7, Canada
Sommaire
Les systèmes de recommandation cherchent à identifier des « pattern » et comprendre l’environnement dans le comportement des utilisateurs afin d’offrir une expérience personnalisée. Ils sont omniprésents et sont le plus souvent utilisés pour recommander des éléments aux utilisateurs (par exemple, des livres et films sur Amazon et Netflix, de la documentation pertinente pour de grands projets logiciels ou encore, des articles intéressants pour les scientifiques).
L’atelier thématique est une formation pratique d’une semaine sur les systèmes de recommandations. L’atelier se tiendra en anglais. Cet atelier sera composé de théorie le matin, suivi d’ateliers de résolution de problèmes en après-midi.

Objectifs génériques

Former les professionnels et les étudiants dans le domaine des sciences des données, de l’apprentissage automatique et de la recherche opérationnelle;
Développer une compréhension des défis et enjeux des sciences des données appliquées à un domaine spécifique;
Apprendre à utiliser les outils informatiques afin de résoudre des problèmes concrets;
Faire un maillage entre étudiants et compagnies;
Favoriser le partage de connaissances et faciliter le réseautage entre les spécialistes d’un domaine particulier;
Encourager le partage de connaissances interdisciplinaire.

Pré-requis
Des connaissances de base en mathématique et en programmation (idéalement Python) sont fortement recommandées.

Date et lieu
20-23 août 2019
HEC Montréal.

Organisateurs

Laurent Charlin, HEC Montréal (et Mila)
Brian Moore, IVADO

Contact
Pour tous commentaires, n’hésitez pas à nous contacter à l’adresse courriel suivante : formations@ivado.ca.

Plus d’infos >>

IVADO/Mila Deep Learning School (4th edition)
2019-09-09 08:00 - 2019-09-13 17:00 (America/Toronto)

NLP Montreal 2019 Workshop (Mila, RALI, IVADO, CRM)
2019-09-17 - 2019-09-18 | Mila auditorium, 6650 Rue Saint-Urbain, Montréal, Canada
Description

NLP Montreal 2019 is a workshop on natural language processing (NLP) and understanding, with the aim to facilitate interactions between our partners, students and faculty members. The intended audience is individuals who are already familiar with the subject of natural language processing.
Organizers: Alain Tapp, Will Hamilton and Gabriel Prato
Scientific program: Will Hamilton, Jackie Cheung, Philippe Langlais and Alain Tapp
*Members of the scientific committee are still accepting proposals for short seminar-style talks (contact: prato.gab@gmail.com). Students are especially encouraged to submit proposals, and note that ensuring diversity in both speakers and topics is an important objective for the final program.*
**Note that the second afternoon is reserved for Alliance research group discussions and restricted to partners and faculties.**
***First come, first served. Only applications from Mila/IVADO/RALI/CRM partners, students and researchers will be accepted. Participants must be individuals actively involved in NLP research and/or development and priority to individuals committed to the Alliance NSERC NLP project will be granted.***

PROGRAM (tentative)

September 17

8h30- 9h00

Registration

9h00 – 12h15

Advanced tutorial (1 hour)
Student talks (6 times 20 minutes)

13h30 to 16h00

Faculty (2 times 50 minutes and 4 times 25 minutes)

September 18

9h00 – 12h30

Alliance public talk by Prof. Alain Tapp (25 minutes)
Public industrial talks from any participants ( 7 times 25 minutes)

13h45 – 15h45

Alliance grant proposal specific meetings
Alliance partner and administration private meeting
6 working groups will have discussions in parallel (one for each theme)
Some partners will be given time to address the participants

San Francisco AI Summit
2019-09-25 - 2019-09-26
Procure, Implement, Optimise and Build your next AI project

From how you engage with your customers to how you fundamentally operate as an organisation, AI has cemented its place as the catalyst to business transformation all over the world.

But how can you act to grasp the opportunities that AI offers and what do you need to consider when planning your AI roadmap? The AI Summit offers all the answers and more, giving you the knowledge, tools and experience you need to change the face of your business for the good. Engage with world leading organisations, hear from the brightest minds and gleam exclusive insights into pioneering AI projects from all corners of industry, like never before.

IVADO Data Science Internship and Job Fair
2019-09-30 09:00 - 16:00 (America/Toronto)
Monday, September 30, 2019 from 9am to 4pm
at Pavillons Lassonde at Polytechnique Montréal!
2700, chemin de la Tour, Atrium Lassonde (3e étage),
Polytechnique Montréal.
Map
Free event
Description
Since 2018, IVADO has organized its Data Science Internship and Job Fair twice a year to facilitate meetings between internship/job candidates and the data science ecosystem.

For candidates, this day is an opportunity to meet representatives of various IVADO member companies and organizations and partners, and to learn about internship and employment opportunities in their areas of interest.
For companies, it is a unique opportunity to stand out and present their organizations as well as the internship and job opportunities available.

Advice to candidates

Make a good first impression: bring several copies of your current CV and business cards if you have them.
Get ready: click on the exhibitors’ logos below, to identify those that match your areas of interest and make it a priority to visit them on D-Day.

On site

Share your success stories on social networks with us: #foireIVADO2019 #IVADOfair2019

Questions?

Write to us at: evenements@ivado.ca

List of exhibitors for the September 30, 2019 edition

Air Canada

AIRUDI

Banque Nationale

Brainbox AI

CDPQ

Centre d'entrepreneuriat Poly-UdeM

Corning

Coveo

Desjardins

Eduplan Solutions

Effigis Geo- Solutions

ExPretio

Environnement et changement climatique Canada

Fin-ML

GERAD

GIRO

Holt Accelerator

Hydro-Québec

Institut national du sport du Québec

intact Corporation Financière

Irosoft

IVADO

Loto-Québec

Maxen

MILA

MIMS

nectar

Netlift

Newtrax

Ossicles Technologies

Overbond

prologue.ai

Radio-Canada

SITA

Stradigi AI

Synapse C

TD Toronto Dominion

Valital

Données et intelligence marketing
2019-10-01 08:30 - 16:00 (America/Toronto) | DoubleTree by Hilton Montreal, 1255 Rue Jeanne-Mance, Montréal, QC, Canada
À l’heure où les points de contact avec les marques et leurs produits se multiplient, les parcours clients se fragmentent. Les entreprises doivent donc être de plus en plus créatives et bâtir leurs compétences en analytique pour relever les défis de la connaissance client et proposer toujours plus d’offres de produits et services personnalisés.
Entre surabondance et qualité des données, multiplication des points de contact, clients omnicanaux et progrès technologiques constants, comment s’assurer de l’impact positif et de la performance des stratégies marketing ?
Complétez votre expérience en participant à nos ateliers :
ATELIER A : Développez une vision marketing centrée sur les données et prenez les décisions d’affaires basées sur une connaissance poussée du parcours d’achat omnicanal de vos clients
ATELIER B : Optimisez votre stratégie marketing dans un contexte omnicanal

La science des données en agriculture: Médecine Vétérinaire d'Élevage
2019-10-10 17:00 - 20:30 (America/Toronto) | CRIM, 405, avenue Ogilvy, Montréal, Québec, Canada
Résumé
Venez découvrir comment la science des données est utilisée pour améliorer la médecine vétérinaire d’élevage durant un cocktail dînatoire lors de la série de conférences présentées par IVADO et Lactanet: La science des données en agriculture.
Introduction
L’agriculture rencontre de nombreux défis alors que la provenance et l’empreinte environnementale des aliments et le bien-être animal sont des préoccupations de plus en plus présentes au sein de la population. Les agriculteurs québécois doivent ainsi répondre à ces demandes tout en s’adaptant aux changements climatiques et à la nécessité d’accroître la sécurité alimentaire. Dans ce contexte, la science des données sera un vecteur majeur de changement qui contribuera à relever ces défis. Dans le cadre de ce cocktail dînatoire qui portera sur la médecine vétérinaire d’élevage, il sera question de présenter aux acteurs du milieu de la science des données non apparentés à l’agriculture différents projets en cours et les opportunités de collaboration. Il sera ainsi possible de créer des liens pour développer de nouvelles solutions innovantes.

Toolkit for AI
2019-10-11 08:00 - 17:00 (America/Toronto) | Institut de recherches cliniques de Montréal (IRCM), 110 Avenue des Pins Auditorium Jacques Genest, Montréal, Québec, H2W 1R7, Canada
Summary

With the democratization of omics technologies and the material to conduct high throughput experiments, life sciences laboratories and research institutes are generating more and more data.
Organized in partnership with the Montréal Clinical Research Institute, the seminar is is your start-up kit to design and lead health research projects driven by data science, artificial intelligence and related techniques. It aims at life science researchers and students seeking new ways to exploit these data in order to advance in their research objectives.
Objectives

Understand the current context and opportunities arising from recent developments in artificial intelligence and related disciplines
Demystify AI
Raise awareness of the organizational, ethical and legal issues surrounding health data

More info >>

IA : Les fondamentaux, signé IVADO
2019-10-11 13:00 - 17:00 (America/Toronto) | HEC Montréal, 3000, chemin de la Côte-Sainte-Catherine, Montréal , québec, H3T 2A7, Canada
Les mégadonnées et l’intelligence artificielle sont au cœur du virage numérique, passage incontournable pour assurer la compétitivité des entreprises. Comment une entreprise peut-elle réussir cette transition remplie d’opportunités et d’enjeux tant au niveau corporatif, organisationnel qu’éthique?
Cette formation livre les principes fondamentaux pour la prise de décision basée sur les données et offre aux entreprises les outils requis pour innover à l’ère des données.
OBJECTIFS

Comprendre l’importance des données
Démystifier l’IA
Vous outiller pour faire face aux enjeux du numérique et des changements organisationnels
Décoder l’impact de l’IA sur vos besoins d’affaires
IA : du mythe à la réalité

EST-CE POUR VOUS?
Dirigeants et gestionnaires qui veulent comprendre les impacts stratégiques de ce phénomène des données massives pour l’intégrer dans leur modèle d’affaires.

AI Governance in Financial Services
2019-10-25 14:00 - 18:00 (America/Toronto) | Espace CDPQ, 3, Place Ville Marie, bureau 12350, Montréal, Quebec, H3B 0E7, Canada
About this Event
Join us for a panel discussion and a networking cocktail around AI Governance in financial services, presented by Fin-ML and IVADO. The deployment of AI models in financial services pose an array of challenging and interesting questions, particularly around compliance and ethical matters – for instance regarding model explainability, prevention of unfair bias, as well as algorithmic accountability and human-in-the-loop. The objective of the panels is to both discuss AI Governance in a holistic way, as the questions it poses are all interrelated, and to hone in on some of the particularly pressing issues. To ensure a meaningful dialogue, panelists will be from various backgrounds, jurists and scientists, from the industry, the regulators, and academia.
The discussion will be in English and will also be broadcast virtually.
Presenter & Moderators

Manuel Morales – Professor, Mathematics & Statistics, Université de Montréal – Director Fin-ML – Chief AI Scientist, National Bank of Canada
Dominique Payette – Lawyer, Legal Affairs, National Bank of Canada – Fin-ML Collaborator
Laure Fouin – Corporate and Securities Lawyer, McCarthy Tétrault

Panelists

Stéphane Rousseau – Full Professor, Faculty of Law, Chair in Governance and Business Law, Université de Montréal
Thibault de Ravel d’Esclapon – Associate Professor, Faculty of Law, Université de Strasbourg
Lise-Estelle Brault – Senior Director, Fintech, Innovation and Derivatives, Autorité des Marchés Financiers
Marc Stephens – Director, Market Analysis and Investigations, Regulatory Division, Montréal Exchange
Eric Charton – Senior AI Director, National Bank of Canada
Jessica Li Guild – Director, Americas Head of Digital Transformation Office & Compliance Data Analytics, Société Générale
Gwendal Bihan – CEO, Axionable
Sean Merat – Co-Founder & CEO, Owl.co

Webinaire IVADO - Synapse C
2019-11-13 12:00 - 13:00 (America/Toronto)
Découvrir et accélérer la valorisation des données
Découvrez le potentiel caché des données partagées avec Viêt Cao de Synapse C qui exposera comment la mutualisation de données de provenances diverses peut mener à des projets innovants. Nourrir les algorithmes de recommandation, prédire l’achalandage, atteindre un nouveau public, les applications ne manquent pas ! Rendez-vous en ligne sur Zoom le 13 novembre de 12h à 13h.
Vous pouvez suivre ce webinaire à distance, dans le confort de votre bureau sur l’heure du midi. Il suffit de vous inscrire en cliquant sur le lien ci-dessous. Places limitées, inscrivez-vous rapidement !
Bon webinaire,
L’équipe IVADO

5th Deep Learning School (Vancouver)
2019-12-02 08:00 - 2019-12-06 17:00 (America/Toronto) | UBC Nest South Ballroom, 6133 University Boulevard, Vancouver, BC, Canada
Summary
Deep learning is a machine learning technique that has significantly improved previous results in computer vision, speech recognition, machine translation and other areas. Many other areas are affected by this new technology, or will be. In response to the interest generated by this technology, and in response to training needs, IVADO, Mila and UBC Data Science Institute are offering a full week of training in English from December 2 to 6, 2019 in Vancouver.
The content of this school is mainly aimed at industry professionals and SME with basic knowledge of mathematics and programming (engineers, computer scientists, statisticians, technical project managers, product managers, systems engineers, etc.), but professors and graduate students in science or engineering (mainly those who are not yet familiar with deep learning) may also find it interesting.
Prerequisites
A minimal knowledge of programming (ideally Python) and basic knowledge in mathematics (linear algebra, statistics) is desirable.
For more details, please consult the web page of the event.
Scholarship Application Form for undergraduate and graduate students in an effort to promote Equity, Diversity and Inclusion: Click here

Webinaire IVADO - CANN Forecast
2019-12-04 12:00 - 13:00 (America/Toronto)
IVADO lance sa première série de webinaires qui visent à démontrer l’étendue, l’énorme potentiel et la valeur ajoutée de la valorisation des données.
Ce webinaire IVADO se tiendra le 4 décembre de midi à 13h avec Nicolas St-Gelais de CANN Forecast qui nous présentera “L’IA au pays de l’or bleu”.

IA : LES FONDAMENTAUX, SIGNÉ IVADO
2019-12-06 08:30 - 13:30, 2020-02-14 08:30 - 13:30 (America/Toronto)

Webinaire IVADO - Imagia
2019-12-11 12:00 - 13:00 (America/Toronto)
Ce webinaire IVADO se tiendra le 11 décembre de midi à 13h avec Alexandre Le Bouthillier de Imagia qui nous présentera “Prescrire l’intelligence artificielle ? L’utilisation de l’IA pour la médecine personnalisée”.

IVADO Digital Intelligence Internship and Job Fair
2020-01-22 10:00 - 15:00 (America/Toronto)
Wednesday, January 22nd, 2020 from 10am to 3pm
at Pavillons Lassonde at Polytechnique Montréal!
2700, chemin de la Tour, Atrium Lassonde (3e étage),
Polytechnique Montréal.
Map
Free event
Description
Since 2018, IVADO has organized its Digital Intelligence Internship and Job Fair twice a year to facilitate meetings between internship/job candidates and the data science ecosystem.

For candidates, this day is an opportunity to meet representatives of various IVADO member companies and organizations and partners, and to learn about internship and employment opportunities in their areas of interest.
For companies, it is a unique opportunity to stand out and present their organizations as well as the internship and job opportunities available.

Advice to candidates

Make a good first impression: bring several copies of your current CV and business cards if you have them.
Get ready: click on the exhibitors’ logos below, to identify those that match your areas of interest and make it a priority to visit them on D-Day.

On site

Share your success stories on social networks with us: #foireIVADO2020 #IVADOfair2020

Questions?

Write to us at: evenements@ivado.ca

List of exhibitors for the January 22, 2020 edition
Please click on the Talent4AI logo to view available jobs and internships and book a flash meeting with your future employer on January 22!

AIRUDI

AlayaCare

Autorité des marchés financiers

Banque Nationale

bciti

Bombardier

CAE Inc.

CDPQ

Centre d'Entrepreneuriat Poly-UdeM

Coveo

CS Canada

Desjardins

Environnement et Changement climatique Canada

Ericsson

Exo

Expretio

Fin-ML

Funartech

GERAD

GIRO

Hexoskin

Humanitas Solutions

Hydro Québec

IATA

intact Corporation Financière

Irosoft

IVADO

Maxen

Netlift

Newtrax

Overbond

Pratt & Whitney

Quantolio

Radio-Canada

Société Générale

Synapse C

TD

Thales

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

Webinaire IVADO
2020-02-26 12:00 - 13:00 (America/Toronto)
L’innovation, ça se construit! Ne ratez pas le premier webinaire IVADO de l’année avec Céline Martin qui présentera les services de support offerts par Innovation Canada! RDV en ligne de 12h à 13h.

La Science des données en agriculture : production maraîchère
2020-02-27 17:00 - 20:00 (America/Toronto)
Venez découvrir comment la science des données est utilisée pour améliorer la production maraîchère durant un cocktail dînatoire lors de la série de conférences présentées par IVADO et Lactanet : La science des données en agriculture. La réduction de l’utilisation des herbicides, l’utilisation de la vision par ordinateur pour la surveillance des cultures, l’agriculture verticale en contre-saison ainsi que le tracteur autonome seront les sujets abordés durant cette 4e édition.

100 days of Data.trek
2020-03-03 08:30 - 20:00 (America/Toronto)
Ready for the challenge?
The AEBINUM, the Poisot lab and IVADO challenge you to code 1 hour a day for 100 days. The Data.trek challenge is the perfect opportunity to learn about data analysis and machine learning.
Please note that the workshop will be given in English but the instructors will be bilingual.

Carrefour de philanthropie des données – Appel à projets
2020-04-15 - 2020-07-15
Le Carrefour de philanthropie des données est une initiative d‘IVADO qui a vu le jour en 2017 et qui vise à mettre en relation les organismes à but non lucratif (OBNL), les universités et les entreprises dans une optique de formation et de transfert de connaissances dans le domaine de l’intelligence numérique.
Cette initiative, menée par Renaud Legoux et Marc Fredette, professeurs à HEC Montréal et codirecteurs du Carrefour, a un triple objectif :

Permettre à des étudiants en intelligence d’affaires d’acquérir des connaissances dans le domaine de la consultation.
Aider des OBNL à résoudre des problématiques particulières liées à la science des données.
Offrir à des représentants de l’industrie la possibilité de partager leurs connaissances et expertises à titre de mentors.

Comme lors des trois éditions précédentes, quatre équipes de quatre étudiants à la maîtrise en intelligence d’affaires de HEC Montréal répondront à des mandats de consultation à partir de la fin du mois de septembre 2020. Ces mandats seront présentés lors du Carrefour de philanthropie les 11 et 12 novembre prochains.
Lancement des activités par webdiffusion et appel à projets aux OBNL – 26 mai 2020
Cette année, en partenariat avec Synapse C, le scientifique en chef et les Fonds de recherche du Québec, nous voudrions impliquer nos étudiants dans des mandats sous la thématique de l’inclusion sociale. Les organismes sans but lucratif doivent de plus en plus développer une expertise en intelligence numérique et nous pensons que le Carrefour a le potentiel d’apporter des solutions novatrices ancrées dans le traitement de données empiriques.
Cette activité de bénévolat de compétences est offerte GRATUITEMENT aux OBNL participantes. Nous demandons donc votre participation afin que l’on puisse identifier des projets d’analyse de vos données liées à des activités philanthropiques. Pour répondre à cet appel de candidature, vous devez décrire, en moins d’une page, un enjeu lié à l’inclusion sociale dans votre organisation. Veuillez aussi indiquer les bases de données qui sont disponibles pour répondre au mandat (nombre de cas et variables disponibles). Une activité de lancement est prévue le 26 mai 2020 en webdiffusion afin de présenter le Carrefour, cet appel à projets et les activités de SYlabC (Laboratoire en philanthropie des données de Synapse C). Inscription La date limite pour un dépôt est le 15 juillet prochain. Veuillez acheminer votre candidature à info@ivado.ca.
Conditions d’admission :

Les données doivent déjà être en format électronique.
Les données doivent avoir déjà été explorées et mobilisées en vue de prendre des décisions de gestion (par ex. pour une segmentation ou un ciblage spécifique).

Les projets qui n’auront pas été retenus seront référés au SYlabC. Le concept du SylabC est de mobiliser le bénévolat de compétence comme une caisse de résonance pour des enjeux spécifiques. De petites cellules seront composées afin de répondre à des enjeux liés à l’exploitation de données par des OBNL dans le secteur culturel et de la philanthropie. Le SYlabC servira à faire rayonner leur expertise de pointe.
Pour toute information supplémentaire ou pour confirmer votre participation : info@ivado.ca.

Webinaire IVADO - L'apprentissage automatique au service du marché de l'énergie
2020-04-16 12:00 - 13:00 (America/Toronto)
Les décisions prises au parquet de transactions énergétiques sont complexes et influencées par un grand nombre de facteurs. Venez découvrir comment négocier les prix de l’énergie à l’aide des techniques d’apprentissage automatique.
Rendez-vous le 16 avril 2020 de 12h à 13h!
