Programme 2021

World Summit AI Americas 2021 is an all new format! The programme features a global power round up from the top AI brains world wide giving their predictions for 2021. It features all new AI masterclasses – a plenary session followed by an interactive q&a for a small group of attendees. The programme is split to allow part of the day to focus on content and the majority of the afternoon sessions will be curated and pre-booked 121 meetings, match made by our AI tech tool.

World Summit AI Americas 

19th – 21st April 2021

Online Global Meet-up

Download Event Programme

Days 1 and 2

Go to Day 3

Day 1

Monday 19th April 2021

Event running in Eastern Time (ET)

MEET UP

09:00 – 11:00

Participate in 8 meetings of 15 minutes each. Curated double-opt in meetings to connect online with new and familiar faces. Designed to provide highly efficient connections for real business interactions. You can continue to schedule meetings post the meet-up with any of your ‘star list’ matches.

14:00 – 16:00

Participate in 8 meetings of 15 minutes each. Curated double-opt in meetings to connect online with new and familiar faces. Designed to provide highly efficient connections for real business interactions. You can continue to schedule meetings post the meet-up with any of your ‘star list’ matches.

Day 2

Tuesday 20th April 2021

Event running in Eastern Time (ET)

HEADLINER STAGE

09:00 – 09:20

WELCOME InspiredMinds!

Vidya Gunapala, CCO, InspiredMinds!

WELCOME and chairperson’s opening remarks

Fiona McEvoy, Tech Ethics Researcher/Writer & Founder, YouTheData.com


09:20 – 09:40

HEADLINER

Transforming personalized health care with AI

Joëlle will give an overview of recent developments in AI and discuss exciting progress in using machine learning to accelerate the discovery of personalized treatment strategies and the development of data-driven health care solutions.

Joëlle Pineau, Co-Managing Director, Facebook AI Research; Associate Professor and William Dawson Scholar, School of Computer Science, McGill University


09:45 – 10:05 

HEADLINER

Extended Intelligence:  AI for the New Economy

In this session, Sandy will be sharing how using AI tools can help communities to make smarter investments and build wealth, and particularly how they can benefit the less wealthy and underserved.

Alex ‘Sandy’ Pentland, Professor of Media Arts and Sciences, Toshiba Professor, Media Lab Entrepreneurship Program Director, MIT


10:15 – 10:50

HEADLINER: In Conversation with…

Transforming the customer experience with AI

Omar Benomar, Director of AI and Software Engineering, Groupe Dynamite

Interviewer:
Esther Lee, Senior Product Manager, AI Services, Amazon Web Services


10:55 – 11:15

HEADLINER: In Conversation with…

Building an enterprise AI culture – what are the mindset and process changes organizations need to make to succeed with AI?

Dr. Kathryn Hume, Interim Head, Borealis AI

Interviewer: 

Jean-Jacques Rousseau, Innovation Catalyst; Postdoctoral Fellow, Explainability & Trust in AI Systems, York University (Canada)


11:20 – 11:35

Keynote Enterprise Story

UPS Case Study: Enterprise-level optimization and AI

Dr. Mallory Freeman, Director of Data Science and Machine Learning, UPS


11:40 – 12:00

Enterprise Story – In Conversation with…

Federico Puebla, Director – Lava Lab Montréal, SNC-Lavalin

Luc Sirois, Chief Innovation Officer, Québec


12:00 – 12:15

Enterprise Story – Business use case of AI in Action

From concept to implementation – how rapid deployment of AI solutions can drive faster business impact

Nathalie Marcotte, SVP & President Process Automation, Schneider Electric


12:20 –  12:35

LEADERSHIPS INSIGHTS – What we will see…

Hear world leaders in AI give their top 5 predictions for 2021

Kay Firth Butterfield, Head of AI & Machine Learning, World Economic Forum

Robert Thomas, Senior Vice President,  IBM Cloud and Data Platform, IBM


12:40 – 12:55

TECH TALK

Driving ML Autonomy

Adrien Gaidon, Machine Learning Lead, Toyota Research Institute


13:00 – 13:15

TECH TALK

Learning with Weak Supervision

Dr Yuhong Guo, Canada Research Chair in Machine Learning; Canada CIFAR AI Chair, Amii; Professor, School of Computer Science, Carleton University


13:20 – 13:40

IN CONVERSATION

Enterprise AI adoption: Obtaining faster predictions and business growth using AI

Covid-19 has accelerated the need for companies to digitally transform their businesses. Companies that have seized this opportunity to deploy new technologies are already generating tangible business value in our new reality. Ryan Anderson, our Canada Applied Intelligence lead, will be joined by two Accenture clients to discuss how they used Artificial Intelligence and machine learning to reimagine the way they operate and interact with their customers.

Ryan Anderson, Managing Director, Applied Intelligence Canada, Accenture

Yannick Abba, VP Analytics Centre of Excellence, Scotiabank

Alan Zampella, Senior Director of Technology, Product and Analytics, Tim Hortons


13:45 –  14:15

PANEL DISCUSSION

Where have the ideas of AI ethics principles held or fallen during the pandemic?

  • Has accelerated AI usage during the pandemic led to an increase in bias and discrimination? 
  • How have AI ethics guidelines been used practically, as we delve into ethically contentious design of AI in the name of fighting against COVID?
  • How does AI intersect with privacy? 
    • What are the new norms in privacy anonymisation?
    • How do you manage and apply remote worker surveillance?
    • What’s acceptable monitoring in light of workers’ human rights?
    • What constitutes meaningful consent?
  • How can we protect each other and what is the role of technology?

Renée Cummings, AI Ethicist, Criminologist & Data Activist in Residence, University of Virginia

Wendell Wallach, Senior Advisor, The Hastings Center;  Senior Fellow, The Carnegie Council for Ethics in International Affairs

Miriam Vogel, President & CEO, EqualAI

Jason Millar, Director, CRAiEDL, the Canadian Robotics & Ai Ethical Design Lab;  Canada Research Chair in Ethical Engineering of Artificial Intelligence & Robotics, University of Ottawa

Moderator: 

Kristen Thomasen, Acting Assistant Professor, Peter A Allard School of Law, The University of British Columbia


14:20 – 16:20

MEET UP

Participate in 8 meetings of 15 minutes each. Curated double-opt in meetings to connect online with new and familiar faces. Designed to provide highly efficient connections for real business interactions. You can continue to schedule meetings post the meet-up with any of your ‘star list’ matches.

STREAM STAGE

 

 

 

 

 

 

 

 

 

09:45 – 10:15

MASTERCLASS

Transforming personalized health care with AI

Joëlle will expand on her Headliner presentation about recent developments in AI and discuss exciting progress in using machine learning to accelerate the discovery of personalised treatment strategies and the development of data-driven health care solutions, and invite discussion on this topic.

Joëlle Pineau, Co-Managing Director, Facebook AI Research; Associate Professor and William Dawson Scholar, School of Computer Science, McGill University 


 

 

 

 

 

 

 

 

 

 

 

 

 

11:20 – 11:50

PANEL DISCUSSION

Hot pick of AI disruptors

Mari Joller, Founder & CEO, Snackable AI

Gabe Batstone, Founder & CEO, contextere

Jean-Simon Venne, Chief Technology Officer & Co-Founder, BrainBox AI

Moderator: 

Aly Madhavji, LP at Loyal VC & Draper Goren Holm; Managing Partner, Blockchain Founders Fund


11:40 – 12:15

PANEL DISCUSSION

Strategies to success in a world-class AI ecosystem

Valerie Pisano, President and CEO, MILA

Marie-Paule Jeansonne, President and CEO, Forum IA Québec

Wendy Gonzalez, CEO, Sama

Moderator:

Sarah Larose, Director, Business Development New England & Canada, Investissement Québec International


12:20 – 13:20

TABLE-TALK (invitation only)

Navigating the ML journey


A live round table discussion where we will discuss the keys to success for embracing machine learning across enterprises.  The discussion will commence with a brief presentation, outlining the keys to success, and potential pitfalls that AWS has observed within our customers as we have assisted them adopt machine learning.  After the presentation, we will open the discussion up for AWS customers to discuss their personal experiences while innovating with machine learning.  Please join us for this discussion to learn best practices and trends from executives that are helping pave the way for innovating with machine learning.

Host:

Bob Maus, Head, WW SageMaker Specialist Team, Amazon Web Services


 

 

 

 

 

 

 

 

 

 

 

 

 

13:45 – 14:15

WORKSHOP

Strategic Intellectual Property (IP) and Privacy Planning for AI – the legal angle

  • Contracting for AI companies: ownership of IP rights, employment agreements, confidentiality, technology license agreements
  • Text and data mining (TDM): Does your company have user rights? Do fair use and research provide exceptions to copyright?
  •  “Smart” trade-marks and company branding: distinctiveness, descriptiveness & registerability
  • Strategic Planning for IP: managing IP risk, leveraging your IP, building a valuable portfolio, navigating IP rights of third-parties, planning tools and approaches
  • Privacy considerations for AI: automated decision-making, explainability, and consent

Hosts:

Carina De Pellegrin, Senior Legal Counsel – Intellectual Property and Technology Law, Borden Ladner Gervais LLP (BLG)

Curtis Behmann, Partner & National Leader, Beyond IP Strategy, Borden Ladner Gervais LLP (BLG)

Max Jarvie, Technology and Privacy/Data Security Lawyer, Borden Ladner Gervais LLP (BLG)

 

 

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