Toronto Machine Learning Summit on NLP

September 12th to 13th, 2022 – 10:00 AM to 8:30 PM

A Uniquely Interactive Experience

Join us for the NL Community’s Annual Gathering.

9 speakers will explore applications of NLP from both the business and technical areas of expertise plus 4 bonus hands-on virtual workshops.

The micro-summit includes:

  • 9 speakers (in-person) at RBC Waterpark Place
  • 4 workshops (virtual)
  • Access 6 hours of live-streamed content (incl. recordings)
  • Talks for beginners/intermediate & advanced
  • Case Studies, Executive Track – Business Alignment & Advanced Technical Research
  • Q+A with Speakers
  • Channels to share your work with community

 

Join this new initiative to help push the AI community forward.

We’re Hosting

Breakout Sessions
(All Levels)
Discussion Groups
Workshops
Virtual Platform

Chair

Suhas Pai

Chief Technology Officer, Bedrock AI

Speakers

Royal Sequiera

Research Scientist, LG Electronics Toronto AI Lab

Talk: Generalization Through Interactive Environments

Denys Linkov

ML Team Lead, Voiceflow

Talk: Three Courses of Real Time NLP

Ian Yu

Junior Machine Learning Engineer, Groupby Inc.

Talk: Our Quest to Build a Global Privacy Protection Standard

Co-Presenter: Hessie Jones

Hessie Jones

Venture Partner, MATR Ventures

Talk: Our Quest to Build a Global Privacy Protection Standard

Co-Presenter: Ian Yu

Suhas Pai

Chief Technology Officer, Bedrock AI

Talk: NLP in Finance

Co-Presenters: Dr. Ehsan Amjadian, Dr. Patricia Arocena

Dr. Patricia Arocena

Head of Innovation Labs, RBC

Talk: NLP in Finance

Co-Presenters: Dr. Ehsan Amjadian, Suhas Pai

Dr. Ehsan Amjadian

Head of Data Science, RBC

Talk: NLP in Finance

Co-Presenters: Dr. Patricia Arocena, Suhas Pai

Talk: An Efficient Deep Enterprise Search Engine on Private Cloud

Co-Presenter: Syed Salman Ali

Syed Salman Ali

Data Science Lead, RBC

Talk: An Efficient Deep Enterprise Search Engine on Private Cloud

Co-Presenter: Dr. Ehsan Amjadian

Jekaterina Novikova
Director of ML, Winterlight Labs

Talk: Interpretability and Robustness of Transformer Models in Healthcare

Annie En-Shiun Lee

Assistant Professor (Teaching Stream), Computer Science, University of Toronto

Talk: Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?

Karthik Ramakrishnan

President & Co-Founder, Armilla AI

Talk: Quality Assurance of NLP Systems
Co-Presenter: Rahm Hafiz
Rahm Hafiz
Co-Founder, Armilla AI

Talk: Quality Assurance of NLP Systems

Co-Presenter: Karthik Ramakrishnan

Workshop Facilitators

Brendan M McKenna

ML Field Engineer, ContinualAI

Workshop: Operationalizing State of the Art Language Models

Annie En-Shiun Lee

Assistant Professor (Teaching Stream), Computer Science, University of Toronto

Workshop: Pre-Trained Multilingual Sequence-to-Sequence Models for NMT: Tips, Tricks and Challenges
Amanda Milberg

Data Scientist, Dataiku

Workshop: Natural Language Processing in Plain English

More to be announced

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Who Attends

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Data Practitioners
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Researchers/Academics
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Business Leaders
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2023 Event Demographics

Highly Qualified Practitioners
0 %
Currently Working in Industry*
0 %
Attendees Looking for Solutions
0 %
Currently Hiring
0 %
Attendees Actively Job-Searching
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2023 Technical Background

Expert/Researcher
18.5%
Advanced
44.66%
Intermediate
27.37%
Beginner
9.39%

2023 Attendees & Thought Leadership

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Speakers
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Company Sponsors
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Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.

Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.

Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.

Ignite what is an Ignite Talk?

Ignite is an innovative and fast-paced style used to deliver a concise presentation.

During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.

The result is a fun and engaging five-minute presentation.

You can see all our speakers and full agenda here

Get our official conference app
For Blackberry or Windows Phone, Click here
For feature details, visit Whova