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CPD Accredited Programme

World Summit AI Americas 

19-20 APRIL 2023

 

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  • Wednesday 19th
  • 07:30 - 08:30
    REGISTRATION
  • 08:30 - 09:00
    WELCOME AND MEET UP Main Stage
  • 09:00 - 09:05
    WELCOME Inspired Minds! Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS Main Stage
    • Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS

  • 09:05 - 09:10
    WELCOME to Canada Main Stage
  • 09:10 - 09:15
    WELCOME to Montreal Luc Rabouin, Executive Committee Member responsible for Economic, Commercial and Design Development, City of Montréal
    • Luc Rabouin, Executive Committee Member responsible for Economic, Commercial and Design Development, City of Montréal

  • 09:15 - 09:20
    WELCOME and chairperson’s opening remarks Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com Main Stage
    • Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com

  • 09:20 - 10:05
    HEADLINER: What is missing from current AI and how we may bridge the gap Yoshua Bengio, Canada CIFAR AI Chair; Full Professor, Samsung AI; Professor, Université de Montréal; Scientific Director, Mila & IVADO Main Stage
    • Yoshua Bengio, Canada CIFAR AI Chair; Full Professor, Samsung AI; Professor, Université de Montréal; Scientific Director, Mila & IVADO

  • 10:05 - 10:30
    HEADLINER: From Theory to Practice: Accelerating AI/ML innovation Sherry Marcus, Director of Applied Science, Artificial Intelligence and Machine Learning, Amazon Web Services Main Stage

    We are at an inflection point. AI/ML is everywhere. But how can organizations easily go from POC to scale and what decisions are required? How can they make ML accessible to more people? How can they adopt new technology faster? And how can they do it all in a responsible way? In this keynote we will explore key themes like the future state of generative AI, responsible AI, and the democratization of machine learning – and share what we have learned working hand-in-hand with organizations on a global scale to translate AI and ML from theory to practice

    • Sherry Marcus, Director of Applied Science, Artificial Intelligence and Machine Learning, Amazon Web Services

  • 10:30 - 11:00
    HEADLINER: Krish Banerjee Krish Banerjee, Canada Managing Director, Data, Analytics & Applied Intelligence, Accenture Main Stage
    • Krish Banerjee, Canada Managing Director, Data, Analytics & Applied Intelligence, Accenture

  • 11:00 - 11:35
    REFRESHMENTS, NETWORKING AND MEET UP
  • WORLD SUMMIT AI PLENARY Chair:
    Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 11:35 - 12:15
      PANEL DISCUSSION: The Business Case for Responsible AI Panellists:
      Alyssa Lefaivre Škopac, Director of Partnerships and Market Development, Responsible AI Institute
      Anneke Olvera, Director, Programs and Operations, Standards Council of Canada
      Marcelo Cabrol, Chief of Scalability, Knowledge and Impact, IDB Lab
      Jesslyn Dymond, Director of Data Ethics, TELUS
      Marc-Etienne Ouimette, Global Lead, AI Policy (AWS), Amazon
      Moderator:
      Philip Dawson, Head, Global AI Policy & Advisory, Armilla AI; AI Policy Lead, Schwartz Reisman Institute for Technology and Society       Main Stage

      Responsible AI is no longer optional and it is critical that AI’s use should match our values and understanding of best practices. Consumers and businesses are far more likely to use, trust, and engage with technology if they know it is developed and used responsibly. Companies that don’t engage with AI responsibly are reporting lost revenue, lost customers or even legal fines and lawsuits. With new regulations on the horizon, organizations that aren’t proactive are accruing a technical debt and missing out on a distinct competitive advantage. Join this panel to learn from leaders in the space about how they are implementing responsible AI, what has and hasn’t worked, and the tangible business benefits they have realized as a result

      • Panellists:

      • Alyssa Lefaivre Škopac, Director of Partnerships and Market Development, Responsible AI Institute

      • Anneke Olvera, Director, Programs and Operations, Standards Council of Canada

      • Marcelo Cabrol, Chief of Scalability, Knowledge and Impact, IDB Lab

      • Jesslyn Dymond, Director of Data Ethics, TELUS

      • Marc-Etienne Ouimette, Global Lead, AI Policy (AWS), Amazon

      • Moderator:

      • Philip Dawson, Head, Global AI Policy & Advisory, Armilla AI; AI Policy Lead, Schwartz Reisman Institute for Technology and Society

    • 12:15 - 12:35
      HEADLINER: The Montreal Declaration for a Responsible Development of Artificial Intelligence - Where are we now? Main Stage
    • 12:35 - 13:05
      PANEL DISCUSSION: How to build an AI- Powered Organisation Prasad Garigipati, Head of Ericsson Global AI Accelerator – AI Hub Canada & Head of Montreal Site, Ericsson Main Stage
      • Prasad Garigipati, Head of Ericsson Global AI Accelerator – AI Hub Canada & Head of Montreal Site, Ericsson

  • TRACK 1: DEEP DIVE TECH TALKS
    • 11:35 - 11:55
      DEEP DIVE TECH TALK: Separating coherence from knowledge with Retrieval-Augmented Generation — anchoring Generative LLMs in domain-adapted semantic search Eddie Zhou, Software Engineer, Glean Technologies Track 1

      Generative models like ChatGPT excel in coherence but model knowledge “implicitly” and struggle in out-of-domain settings. Retrieval Augmented Generation (RAG) tackles this by anchoring generative LLMs in domain-adapted semantic search, which also solves for privacy and sensitivity. Additionally, domain-adapted verification and entailment models reduce hallucinations to improve user experience. These best practices are essential to integrating a generative model that users can trust to better inform and supercharge their workflows in today’s complex enterprise environments.

      • Eddie Zhou, Software Engineer, Glean Technologies

    • 11:55 - 12:15
      DEEP DIVE TECH TALK (11:55-12:15) Track 1
    • 12:15 - 12:35
      DEEP DIVE TECH TALK: Rules and methods for managing risks and ensuring the reliable deployment of AI within your critical industrial operations Guillaume Herve – CEO and Co Founder, Zetane Systems Track 1

      As a decision-maker in your business, do you lack confidence in deploying AI into complex and critical operations where such novel technology must remain reliable? If yes, you are part of the majority—and will benefit from our three rules you can follow to avoid risks and support the responsible deployment of reliable AI. Based on lessons learned from past projects where we deployed AI in critical operations with success, we present testing and validation methods to identify risks of failure and poor performance of an industrial AI solution, as well as monitor its long-term reliability. Our project concerning computer-vision systems to read electricity utility meters will be an exemplary use case. A component of our tests includes detailed methods to explain and promote transparency in otherwise “black-box algorithms”. We also describe systematic methods to test how an AI solution may fail when operating in common, compromised conditions like poor weather or when data-collection equipment becomes faulty. We then show how you can make AI solutions robust against these non-ideal conditions. Armed with our simple rules, you will be better able to procure trustworthy AI solutions that your customers and industrial stakeholders will accept with confidence.

      • Guillaume Herve – CEO and Co Founder, Zetane Systems

    • 12:35 - 13:05
      PANEL DISCUSSION: Interfaces and challenges when academia meets industry - making AI for real humans to use Jack Klejka, VP of Product Management, IVADO Labs
      Deval Pandya, Member of task force for Digitalisation of Energy, UN Economic Commission of Europe; Director of AI Engineering, Vector Institute       Track 1
      • Jack Klejka, VP of Product Management, IVADO Labs

      • Deval Pandya, Member of task force for Digitalisation of Energy, UN Economic Commission of Europe; Director of AI Engineering, Vector Institute

  • TRACK 2: INNOVATION INSIGHTS - Editorial picks of the agile technologists who are innovating at pace and creating entirely new models for AI application. Learn from the people who have done it before, the CEOs, founders and investors who can tell you how to navigate your startup.
    • 11:35 - 11:55
      INNOVATION INSIGHT: Governing AI Projects Without Killing Innovation – A Use Case Mario Cantin, CEO & Chief Data Strategist, Prodago Track 2

      As certain as it is that lack of governance will make AI projects fail, too much governance will also kill AI projects. Governance cannot be applied the same way in all organizations and in all projects; it must be agile and adapted to the context.

      In this presentation, we will see how appropriate and lean governance activities can be identified and embedded in AI projects to ensure the developed solutions are effective, compliant, responsible and secured. Through a use-case, we will explore how organizations can configure optimal governance activities that are appropriate for their maturity level and ensure that governance become a key success factor for AI projects to achieve business objectives

      • Mario Cantin, CEO & Chief Data Strategist, Prodago

    • 11:55 - 12:15
      INNOVATION INSIGHT: 2 SESSIONS: Reducing the burden of maintaining a building with AI: What new technologies can bring to building management and their stakeholders? / How can AI improve organ donation? Youssef Loudivi, Chief Artificial Intelligence and Founder, Inspect AI
      Hobivola A. Rabearivelo, Chief Strategy Officer and Co-Founder, BIEX Health       Track 2

      Reducing the burden of maintaining a building with AI: What new technologies can bring to building management and their stakeholders?

      Monitoring potential issues and planning operations for maintaining a building largely depends on human observation and rules of thumb. However, the maintenance needs of an individual building can vary a lot depending on its location, even at the city level. In this talk, we will present how machine learning and other AI technologies can help predict the specific maintenance needs of a building, and further involve its various stakeholders to create better traceability and accountability for building management.

      Youssef Loudiyi,  Chief Artificial Intelligence and Founder, Inspect Ai

       

      How can AI improve organ donation?

      Organ donation largely depends on ruled-based decision-making systems, which results in an overall one-size-fits-all approach for matching potential donors to recipients. For patients in need of a new organ, the decision whether to accept an organ or not involves a complex evaluation process mainly supported by manual calculations and algorithms. In this talk, we will present how machine learning and AI systems can help improve the overall process to increase organ donation success rate, provide better predictions and improve the long-term outcomes for patients

      Hobivola A. Rabearivelo, Founder and Chief Strategy Officer, BIEX Health

      • Youssef Loudivi, Chief Artificial Intelligence and Founder, Inspect AI

      • Hobivola A. Rabearivelo, Chief Strategy Officer and Co-Founder, BIEX Health

    • 12:15 - 12:50
      PANEL DISCUSSION: Ask the Investors: How to take your start-up to the next stage: What are investors looking for? Parasvil Patel, Partner, Radical Ventures Track 2
      • What are the latest investment trends in AI?
      • What are the best ways to raise your investments under the current climate?
      • What do VC’s and investors look at when making investment decisions?
      • Parasvil Patel, Partner, Radical Ventures

    • 12:50 - 13:00
      INNOVATION INSIGHT: Revolutionising the management of virtualized mobile networks via AI-driven traffic insights Paul Patras, Associate Professor at The University of Edinburgh; CEO and Co-Founder, Net AI Track 2

      As mobile operators begin to disaggregate their Radio Access Networks (RANs) and network functions are being virtualized, real-time and predictive knowledge of (per-service) network usage is of critical importance to the management of the compute resources needed to drive the infrastructure, improve efficiency, and lower energy consumption. Overprovisioning is expensive and reactive management is currently based on information that is mostly available offline and thus too late to be useful. In this talk, Paul will explain how Net AI are harnessing the power of AI to quantify application demands in a fast, non-intrusive, and low-complexity way, and how to forecast traffic with high accuracy to efficiently scale compute resources when and where they are needed, with a view to zero-touch network management

      • Paul Patras, Associate Professor at The University of Edinburgh; CEO and Co-Founder, Net AI

  • TRACK 3: WORKSHOPS
    • 11:35 - 12:35
      WORKSHOP: Accelerate ML Innovation with Amazon SageMaker JumpStart Track 3

      In this workshop, you’ll learn how to use foundation models and built-in algorithms to accelerate ML innovation in your business. We’ll show how data scientists and developers can use Amazon SageMaker JumpStart to speed ML projects while supporting security and performance, as well as managing costs. We’ll also show how to use state of the art (SOTA) foundation models that are available in Amazon SageMaker JumpStart for text and image generation use cases. Finally, you’ll learn how builders can customize these foundation models and use them to power generative AI applications.

  • 13:05 - 14:00
    LUNCH, NETWORKING AND MEET UP
  • WORLD SUMMIT AI PLENARY Chair:
    Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 14:00 - 14:20
      HEADLINER: Finding the Path: Deploying Health AI Solutions in a Complicated World Roxana Sultan, Chief Data Officer and Vice President, Health, Vector Institute
      Azra Dhalla, Director, Health AI Implementation, Vector Institute       Main Stage

      Artificial Intelligence (AI) and machine learning (ML) present unprecedented opportunities to drive precision medicine and to improve the quality and efficiency of care. Strides have been made to overcome challenges regarding access to health data for AI and ML research, but now we face our next hurdle: deploying the resulting solutions into real world clinical environments

      • Roxana Sultan, Chief Data Officer and Vice President, Health, Vector Institute

      • Azra Dhalla, Director, Health AI Implementation, Vector Institute

    • 14:20 - 14:40
      USE CASE: AI in Retail: delivering results Jack Klejka, VP of Product Management, IVADO Labs Main Stage
      • Jack Klejka, VP of Product Management, IVADO Labs

    • 14:40 - 15:00
      PANEL DISCUSSION: Reimagining the Future of Health with Big Tech Giants and AI Dr Geeta Nayyar, SVP, Chief Medical Officer, Salesforce
      Dr Sahar Hashmi, CEO, Myriad Consulting LLC; Faculty Instructor, Harvard University       Main Stage
      • Dr Geeta Nayyar, SVP, Chief Medical Officer, Salesforce

      • Dr Sahar Hashmi, CEO, Myriad Consulting LLC; Faculty Instructor, Harvard University

    • 15:00 - 15:20
      HEADLINER (15:00-15:20) Main Stage
    • 15:20 - 15:40
      HEADLINER (15:20-15:40) Main Stage
    • 15:40 - 16:00
      HEADLINER: Run, model, run! Deploying AI models at scale Victor Pereboom, Co-Founder and CTO, UbiOps Main Stage

      Deploying and running an AI model in production is about much more than the model itself. Getting to this point is often a challenge for many data science teams. Solving this challenge requires technologies to take care of things like scaling, orchestration, security, reliability, API management and monitoring. This makes MLOps a fast progressing field.

      Not just the landscape of tools for MLOps is advancing, new developments around open source foundation models change the way enterprises approach how they build and deploy AI solutions. With use cases from teams building the next generation of AI applications, we’ll look at learnings from their journey as well as how MLOps is changing in 2023.

      • Victor Pereboom, Co-Founder and CTO, UbiOps

  • TRACK 1: DEEP DIVE TECH TALKS
    • 14:00 - 14:20
      DEEP DIVE TECH TALK: How LLMs help machines understand human language Track 1
    • 14:20 - 14:40
      DEEP DIVE TECH TALK: Addressing Social Injustices through Tech (Rise of No-code & SaaS tools) Amna Habiba, Founder, BloomED Foundation
      Quratulain Hussain, CEO, BloomED Foundation       Track 1
      • Amna Habiba, Founder, BloomED Foundation

      • Quratulain Hussain, CEO, BloomED Foundation

    • 14:40 - 15:00
      DEEP DIVE TECH TALK: Driving AI Quality - achieving higher performance with ML testing and monitoring Anupam Datta, Co-Founder, President, and Chief Scientist, TruEra Track 1

      The first big challenge in AI: how do you build it? The next big challenge in AI: is what I’ve built any good, and how do I improve it? Most ML engineers and data scientists are now running into this next big challenge in AI, the AI Quality challenge. This talk, from ML professor and entrepreneur Anupam Datta, will show how testing and monitoring can help build better models faster, as well as keep them high performing in production.

      • Anupam Datta, Co-Founder, President, and Chief Scientist, TruEra

    • 15:00 - 15:20
      DEEP DIVE TECH TALK (15:00-15:20) Track 1
    • 15:20 - 15:40
      DEEP DIVE TECH TALK: Running up that HILL: How Human-in-the-Loop Learning Leads to Better AI Dr Matthew E. Taylor, Fellow-in-Residence, Alberta Machine Intelligence Institute; (Amii); Canada CIFAR AI Chair, Director, Intelligent Robot Learning Lab; Associate Professor of Computing Science, University of Alberta; Research Director, AI Redefined (AIR) Track 1

      Actively involving humans during the training and deployment of AI systems, which is called human-in-the-loop learning (HILL), is the next frontier for effective and trustworthy decision-making systems. For instance, ChatGPT would not be possible without RLHF (reinforcement learning with human feedback) at scale. Leveraging HILL can merge human domain expertise with current data-driven AI approaches so that the system is effective, trustworthy, and adaptable. Indeed, a AI-human hybrid approach must be central to the design, development, and training of the system if HILL is to work in deployment. This talk will discuss how cutting-edge HILL methods can upend current processes, what risks exist, and how to measure KPIs.

      • Dr Matthew E. Taylor, Fellow-in-Residence, Alberta Machine Intelligence Institute; (Amii); Canada CIFAR AI Chair, Director, Intelligent Robot Learning Lab; Associate Professor of Computing Science, University of Alberta; Research Director, AI Redefined (AIR)

    • 15:40 - 16:10
      PANEL DISCUSSION: The benefits and burdens of open-source software tools Panelists:
      Dr Ola Ahmad, Chief AI Scientist, Thales Digital Solutions
      Georgios Depastas, Co-founder & CEO, Lerna AI
      Bruno Morel, CTO, OROHealth
      Moderator:
      Dr Jason Behrmann, Senior Director of Marketing & Business Development, Zetane       Track 1

      Using a large diversity of open-source software to research and develop artificial intelligence (AI) is standard and offers numerous benefits. These include rapid innovation in freely accessible or affordable AI software thanks to the abilities of the AI community to collaborate in the making of these digital tools. Conversely, open-source software has limitations and drawbacks. For one, such software often is developed for academic research applications that often lack features and capacities for industrial applications of AI and its regulatory oversight by governments. In this panel discussion, we ask AI experts to opine about the positive and negative attributes of open-source software in their professions. We address what the AI community can do to ensure software development tools remain accessible and useful in the development of AI by diverse stakeholders and for applications in both research and business. 

      • Panelists:

      • Dr Ola Ahmad, Chief AI Scientist, Thales Digital Solutions

      • Georgios Depastas, Co-founder & CEO, Lerna AI

      • Bruno Morel, CTO, OROHealth

      • Moderator:

      • Dr Jason Behrmann, Senior Director of Marketing & Business Development, Zetane

  • TRACK 2: INNOVATION INSIGHTS - Editorial picks of the agile technologists who are innovating at pace and creating entirely new models for AI application. Learn from the people who have done it before, the CEOs, founders and investors who can tell you how to navigate your startup.
    • 14:00 - 14:20
      INNOVATION INSIGHT: Generating Music with AI - How to create controlled, high quality music Taehyun Kim, Chief Strategy Officer, POZAlabs Track 2

      Music composition requires emotional inspiration and creativity which are the domains of human input. While the application of AI implemented efficiency to music production and made it accessible to everyone, the lack of standardized music dataset has hindered producing high quality music suitable for diverse desired contexts. POZAlabs suggests a new way to dramatically enhance the quality of AI-generated music, called ‘Combinatorial Music Generation.

      • Taehyun Kim, Chief Strategy Officer, POZAlabs

    • 14:20 - 14:40
      INNOVATION INSIGHT: ISC and IDEaS: Government programs providing funding, support and guidance to Canadian innovators Sarah Blair, Manager of Outreach and Engagement, Innovation for Defence Excellence and Security (IDEaS) Track 2

      Innovative Solutions Canada (ISC) is a government program that supports Canadian innovators by funding R&D and testing prototypes in real-life settings. ISC has over $140M in combined funding through two distinct streams: Challenge and Testing.

      Innovation for Defence Excellence and Security (IDEaS) is the Department of National Defence (DND) and the Canadian Armed Forces (CAF) access to innovation program. With its five funding elements, IDEaS supports the development of solutions by helping push technology forward from early R&D to a demonstrable level that can increase defence capabilities. IDEaS is for all Canadian innovators, from defence primes to academia, Small and Medium sized enterprises to not-for-profits, municipal/provincial/territorial entities to individuals.

      • Sarah Blair, Manager of Outreach and Engagement, Innovation for Defence Excellence and Security (IDEaS)

    • 14:40 - 15:00
      INNOVATION INSIGHT: Beyond the buzz: bringing practical AI to all businesses Wade McCallum, CEO, Ogma-Tech Track 2

      In this session, Wade will look at innovations and strategies that can help companies adopt AI as a practical business tool providing valuable insights. 2022 saw an explosion of exciting AI-driven productivity tools introduced to the market. However, many businesses are still trying to determine which ones are the right fit for their requirements and how to implement those tools effectively. Although the buzz around this sector is causing accelerated adoption of AI tools, many companies struggle to get enough value from these tools to justify their price tag. Join Wade as he explores key use cases highlighting how companies can leverage practical AI to gain helpful new insights into their own operations for making data-supported business decisions.

      • Wade McCallum, CEO, Ogma-Tech

    • 15:00 - 15:20
      INNOVATION INSIGHT (15:00-15:20) Track 2

      Credo AI

    • 15:20 - 15:40
      INNOVATION INSIGHT (15:20-15:40) Track 2
    • 15:40 - 16:00
      INNOVATION INSIGHT (15:40-16:00) Track 2

      Datumo

  • TRACK 3: WORKSHOPS
    • 14:00 - 14:30
      WORKSHOP: Demystifying Data Privacy and Regulatory Compliance for AI Patricia Thaine, CEO, Private AI Track 3

      This workshop will cover the upcoming regulations on AI and the data protection regulation requirements for training and inference data for ML models. We will also discuss solutions to dealing with data in a privacy-preserving and ethical manner.

      • Patricia Thaine, CEO, Private AI

    • 14:40 - 15:10
      WORKSHOP: On-prem and Hybrid/Edge Computing practices for new generation NPM and APM, by Mind in a Box and Accedian Jérémie Farret, CEO/CTO, Mind in a Box Track 3

      This workshop presents modern practices for deploying and optimizing network and application performance monitoring on premises and in hybrid/edge computing configurations.

      As regulations emerge and hybrid computing practices grow, many companies keep critical workloads both on premises and the cloud. Even when using public cloud providers, businesses increasingly need to capture workloads on-premises or on the edge for observability, redundancy and business continuity. Novel telecommunication infrastructure and IoT next generation protocols also require new approaches to efficiently support observability. Through practical examples and use cases, including extreme situations such as air gapped environments or AI machine data processing, we will introduce some of the latest and best-of-breed integrated solutions available in the market.

      • Jérémie Farret, CEO/CTO, Mind in a Box

    • 15:10 - 16:10
      WORKSHOP: Three Practical Steps To Handle Future Regulations Bruce Gustafson, President and CEO, Developers Alliance Track 3

      AI regulations are still in flux, but every government plans to set local rules. What can we predict from the draft rules, codes, and frameworks that are already emerging? What steps can companies take now to make compliance easier once the rules drop? What unique challenges does AI development create that “ordinary” development doesn’t? 

      This workshop will present a practical and actionable checklist of steps that engineering teams can act on now, so they look like heroes tomorrow. Know the data your model is trained on. Define the limitations of your system. Brainstorm how your system might fail – and what harm might result

      • Bruce Gustafson, President and CEO, Developers Alliance

  • 16:00 - 16:25
    REFRESHMENTS, NETWORKING AND MEET UP
  • 16:25 - 16:45
    HEADLINER (16:25-16:45) Main Stage
  • 16:45 - 17:15
    PANEL DISCUSSION: Examining the opportunities created by and limitations of ChatGPT and Generative AI Sol Rashidi, Former CDAO of Royal Caribbean, Sony Music, Merck Pharmaceuticals; CAO of Estée Lauder
    Chair:
    Professor AJung Moon, Assistant Professor (ECE), McGill University     Main Stage
    • Sol Rashidi, Former CDAO of Royal Caribbean, Sony Music, Merck Pharmaceuticals; CAO of Estée Lauder

    • Chair:

    • Professor AJung Moon, Assistant Professor (ECE), McGill University

  • 17:15 - 17:35
    HEADLINER: Why Artificial intelligence doesn't exist…yet! Dr Luc Julia, Chief Scientific Officer, Renault Group Main Stage

    Despite a chaotic history and the fact that the discipline has existed since the 1950s, “Artificial Intelligence” made a huge comeback in the last decade. But as it stands, this “Artificial Intelligence” brings its share of unrealistic promises worthy of the best Hollywood films, allowing a few charlatans to make us believe that the machines could one day take power and reduce us to almost nothing. But will these potential hazards make us run the risk of abandoning all research in this field and threaten advances in disciplines such as machine learning or deep learning, while they are still in their infancy, and can still offer so much more to humanity…

    • Dr Luc Julia, Chief Scientific Officer, Renault Group

  • 17:35 -
    CLOSE OF SUMMIT DAY ONE
  • Thursday 20th
  • 08:00 - 09:00
    REGISTRATION
  • 09:00 - 09:30
    WELCOME AND MEET UP Main Stage
  • 09:30 - 09:40
    WELCOME InspiredMinds! Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS Main Stage
    • Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS

  • 09:40 - 09:50
    WELCOME and chairperson’s opening remarks Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com Main Stage
    • Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com

  • 09:50 - 10:10
    HEADLINER (09:50-10:10) Joelle Pineau, Associate Professor and William Dawson Scholar, School of Computer Science, McGill University; Co-Managing Director, Meta AI Research Main Stage
    • Joelle Pineau, Associate Professor and William Dawson Scholar, School of Computer Science, McGill University; Co-Managing Director, Meta AI Research

  • 10:10 - 10:50
    PANEL DISCUSSION: Cybersecurity – How best to prepare your business for the new threats posed by the latest technological advancements Moderator:
    Pamela Gupta, CEO, Co-President, Trusted AI™ an OutSecure Inc company, AI Cybersecurity Chair, IEEE     Main Stage
    • How much security is enough?
    • Moderator:

    • Pamela Gupta, CEO, Co-President, Trusted AI™ an OutSecure Inc company, AI Cybersecurity Chair, IEEE

  • 10:50 - 11:15
    HEADLINER: How PepsiCo puts humans at the center of our digital transformation Dr Athina Kanioura, Chief Strategy and Transformation Officer, PepsiCo Main Stage

    Hear from PepsiCo’s first-ever Chief Strategy & Transformation Officer Athina Kanioura. Learn her strategies for gaining employee trust while enhancing the human experience for the company’s associates, communities, customers, partners and consumers. Athina will also discuss PepsiCo’s AI solutions, upskilling its workforce and the steps they’re taking to combat bias in AI

    • Dr Athina Kanioura, Chief Strategy and Transformation Officer, PepsiCo

  • 11:15 - 11:40
    REFRESHMENTS, NETWORKING AND MEET UP
  • WORLD SUMMIT AI AMERICAS PLENARY Chair:
    Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 11:40 - 12:00
      HEADLINER: AI for smarter energy decisions and efficiency Philippe Rambach, Senior Vice President, Chief Artificial Intelligence Officer, Schneider Electric Main Stage

      What can AI do to support smart energy decisions? Philippe will share how AI can optimize energy consumption and enable sustainable decision-making by predicting optimal energy usage based on energy prices, balancing consumption spikes, and reducing emissions. AI is fundamental to ensuring that prosumers get the most out of the power they generate, consume, store, or sell back to the grid. No other technology empowers us to make impactful, data-driven decisions on efficient energy use and emission reduction in real-time. Given the planetary crisis we are facing, it’s time we embrace its full potential at scale now.

      • Philippe Rambach, Senior Vice President, Chief Artificial Intelligence Officer, Schneider Electric

    • 12:00 - 12:20
      HEADLINER USE CASE: Harnessing the power of AI to improve the conservation and sustainable use of biodiversity and ecosystem services in a rapidly changing and resource-limited world Constanza Gomez Mont, Founder, C Minds and AI for Climate; 2021-2022 Chair, AI for Humanity Global Future Council, World Economic Forum Main Stage
      • Constanza Gomez Mont, Founder, C Minds and AI for Climate; 2021-2022 Chair, AI for Humanity Global Future Council, World Economic Forum

    • 12:20 - 12:40
      HEADLINER (12:20-12:40) Dr Sheela Agarwal, Chief Medical Information Officer, Diagnostic Imaging and AI, Nuance Communications Main Stage
      • Dr Sheela Agarwal, Chief Medical Information Officer, Diagnostic Imaging and AI, Nuance Communications

    • 12:40 - 13:00
      HEADLINER USE CASE: How AT&T’s Robotic Process Automation is transforming the game Dhruval Shah, Director of Intelligent Automation, Chief Data Officer, AT&T Main Stage
      • Dhruval Shah, Director of Intelligent Automation, Chief Data Officer, AT&T

  • TRACK 1: DEEP DIVE TECH TALKS – In Partnership with Mila
    • 11:40 - 12:00
      DEEP DIVE TECH TALK: Speechbrain: An Open-Source toolkit for Conversational AI Mirco Ravanelli, Adjunct Professor, Université de Montréal; Mila associate member; Assistant Professor, Concordia University Track 1

      SpeechBrain is an open-source toolkit that enables developers to easily create and deploy conversational AI systems. It is currently one of the most widely used toolkits for speech processing. Mirco will give an overview of the key features of SpeechBrain and demonstrate how it can be used to build advanced speaking machines. He will discuss the core architecture of SpeechBrain, which has been designed to handle a wide range of tasks in speech and language technology, including speech recognition, speaker verification, speech synthesis, spoken language understanding, and dialogue. One of the significant advantages of SpeechBrain is that it provides user-friendly interfaces and detailed documentation, which makes it easy for everyone to get started with conversational AI development. Finally, Mirco will set out how SpeechBrain is positioned to shape the future of conversational AI, and what the plans are for the upcoming release of the toolkit.

      • Mirco Ravanelli, Adjunct Professor, Université de Montréal; Mila associate member; Assistant Professor, Concordia University

    • 12:00 - 12:20
      DEEP DIVE TECH TALK: The Promise of AI for Personalized Medicine based on Medical Images Tal Arbel, Canada CIFAR AI Chair, MILA, Full Professor, Electrical & Computer Engineering, McGill University Track 1

      Precision medicine involves choosing a treatment that best balances efficacy against side effects for the individual, where decisions rely on statistics across demographic groups and established clinical markers. Modern AI (deep learning) models for personalized medicine have enormous potential to improve healthcare and drug development. In this talk, Tal will describe her recent work presenting the first deep learning model for personalized medicine from medical images acquired from patients with neurological disease, including: (a) the accurate prediction of individualized future patient disease worsening, and (b) the identification of potential responders to different treatments across heterogenous populations. She will then discuss recent advances to ensure the safe and trustworthy clinical deployment of AI models.

      • Tal Arbel, Canada CIFAR AI Chair, MILA, Full Professor, Electrical & Computer Engineering, McGill University

    • 12:20 - 12:40
      DEEP DIVE TECH TALK (12:20-12:40) Danilo Bzdok, MD, PhD;Associate Professor, Lab director at McGill and Mila Track 1
      • Danilo Bzdok, MD, PhD;Associate Professor, Lab director at McGill and Mila

    • 12:40 - 13:00
      DEEP DIVE TECH TALK (12:40-13:00) Dhanya Sridhar, Canada CIFAR AI Chair; Core academic member, Mila; Assistant Professor, Department of Informatics and Operations Research (DIRO), Université de Montréal Track 1
      • Dhanya Sridhar, Canada CIFAR AI Chair; Core academic member, Mila; Assistant Professor, Department of Informatics and Operations Research (DIRO), Université de Montréal

  • TRACK 2: INTELLIGENT HEALTH – In Partnership with SAIIL (Surgical Artificial Intelligence and Innovation Laboratory), Massachusetts General Hospital Chair:
    Ozanan Meireles, Surgeon at Massachusetts General Hospital; Director MGH Surgical Artificial Intelligence and Innovation Laboratory (SAIIL); Assistant Professor of Surgery, Harvard Medical School
    • 11:40 - 12:00
      HEADLINER: Surgical Artificial Intelligence Track 2
    • 12:00 - 12:20
      USE CASE: Current Applications of AI in Surgery Dr. Teodor Grantchcharov, Professor of Surgery, Stanford University; Associate Chief Quality Officer for Innovation and Safety, Stanford Healthcare Track 2
      • Dr. Teodor Grantchcharov, Professor of Surgery, Stanford University; Associate Chief Quality Officer for Innovation and Safety, Stanford Healthcare

    • 12:20 - 12:40
      HEADLINER: SAGES and AI - Surgical society initiative Christopher Schlachta Track 2
      • Christopher Schlachta

    • 12:40 - 13:00
      HEADLINER: Financial Market and Investment Outlook of Surgical AI Dennis McWilliams, Partner, SANTÉ Track 2
      • Dennis McWilliams, Partner, SANTÉ

  • TRACK 3: WORKSHOPS
    • 11:40 - 12:40
      WORKSHOP (11:40–12:40) Track 3
  • 13:00 - 14:00
    LUNCH, NETWORKING AND MEET UP
  • WORLD SUMMIT AI AMERICAS PLENARY Chair:
    Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 14:00 - 14:40
      PANEL DISCUSSION: What's the real potential of AI to improve health outcomes through value-based care and to power drug discovery? Dr Sonny Kohli, Assistant Prof (adj.), McMaster University; Internal Med/Critical Care, Oakville Hospital; Vice President, Medical & Regulatory Affairs, Roche
      Dr Sheela Agarwal, Chief Medical Information Officer, Diagnostic Imaging and AI, Nuance Communications       Main Stage
      • Dr Sonny Kohli, Assistant Prof (adj.), McMaster University; Internal Med/Critical Care, Oakville Hospital; Vice President, Medical & Regulatory Affairs, Roche

      • Dr Sheela Agarwal, Chief Medical Information Officer, Diagnostic Imaging and AI, Nuance Communications

    • 14:40 - 15:00
      HEADLINER: Challenges and opportunities for keeping AI open Rajiv Shah, Adjunct Assistant Professor, University of Illinois at Chicago; Machine Learning Engineer, Hugging Face Main Stage

      AI is making tremendous advances, but there is also an emerging trend towards closed AI. This shift raises new questions for organizations and individuals traditionally relying on open-source AI. Join Rajiv in this keynote as he evaluates the challenges faced by open-source AI and outlines a path toward progress. Rajiv’s unique perspective comes from working with the research community pushing the boundaries of AI and enterprises seeking to extract value from it. You’ll gain valuable insights from Hugging Face’s research team on model development and navigating the ethical and legal complexities of open-source AI

      • Rajiv Shah, Adjunct Assistant Professor, University of Illinois at Chicago; Machine Learning Engineer, Hugging Face

    • 15:00 - 15:20
      HEADLINER USE CASE: Building the hospital of the future Natalie Mayerhofer, Associate to the Chief Learning Officer (CHUM), Co-Founder, CHUM School of AI in Healthcare
      Pascal St-Onge, Manager, Centre for the Integration and Analysis of Medical Data (CITADEL); Centre hospitalier de l’Université de Montréal (CHUM), CHUM Research Centre       Main Stage
      • Natalie Mayerhofer, Associate to the Chief Learning Officer (CHUM), Co-Founder, CHUM School of AI in Healthcare

      • Pascal St-Onge, Manager, Centre for the Integration and Analysis of Medical Data (CITADEL); Centre hospitalier de l’Université de Montréal (CHUM), CHUM Research Centre

    • 15:20 - 15:40
      HEADLINER (15:20-15:40) Main Stage
    • 15:40 - 16:05
      HEADLINER: Leveraging technology as a strategic business priority Main Stage
  • TRACK 1: INNOVATION INSIGHTS - Editorial picks of the agile technologists who are innovating at pace and creating entirely new models for AI application. Learn from the people who have done it before, the CEOs, founders and investors who can tell you how to navigate your startup.
    • 14:00 - 14:20
      INNOVATION INSIGHT (14:00–14:20) Track 1
    • 14:20 - 14:40
      INNOVATION INSIGHT (14:20–14:40) Track 1
    • 14:40 - 15:00
      INNOVATION INSIGHT (14:40-15:00) Track 1
    • 15:00 - 16:15
      STARTUPS SHOWCASE (15:00–16:05) Track 1
  • TRACK 2: INTELLIGENT HEALTH In Partnership with SAIIL (Surgical Artificial Intelligence and Innovation Laboratory), Massachusetts General Hospital Chair:
    Ozanan Meireles, Surgeon at Massachusetts General Hospital; Director MGH Surgical Artificial Intelligence and Innovation Laboratory (SAIIL); Assistant Professor of Surgery, Harvard Medical School
    • 14:00 - 14:20
      INNOVATION INSIGHT: Surgical Data Governance Keith Griffis, Executive Director of Marketing, Surgical Endoscopy and Systems Integration, Olympus Corporation of the Americas Track 2
      • Keith Griffis, Executive Director of Marketing, Surgical Endoscopy and Systems Integration, Olympus Corporation of the Americas

    • 14:20 - 15:00
      PANEL DISCUSSION (14:20-15:00) Track 2
    • 15:00 - 15:20
      NNOVATION INSIGHT: Lessons from the tech industry (Cognitive Augmentation) Guy Rosman Track 2
      • Guy Rosman

    • 15:20 - 15:40
      USE CASE: Surgical Data Challenges and the SAGES Critical View of Safety Challenge Dr. Jennifer A. Eckhoff, MD,Postdoctoral Research Fellow – Surgical Artificial Intelligence and Innovation Laboratory at Massachusetts General Hospital, Boston; Surgical Resident, Department of General, Visceral, Tumor and Transplant Surgery, University Hospital Cologne, Germany Track 2

      Artificial intelligence (AI), specifically machine learning and computer vision, largely depends on vast amounts of annotated data for model training and validation. Data challenges are a well-established methodology in the computer science community for creating large-scale and diverse datasets reflective of a wide range of target features. In surgery, the imaging and video data produced during minimally-invasive procedures presents a unique opportunity to explore AI-based assessment of clinically relevant visual features. The Society of American Gastrointestinal Surgeons (SAGES) is conducting the first surgical data challenge initiated in collaboration between surgeons and computer scientists. The SAGES Critical View of Safety Challenge is creating a worldwide dataset and is fostering a large-scale competition around the development of AI models to detect essential surgical safety measures, such as the critical view of safety in laparoscopic cholecystectomy. This talk will elaborate on the key concept of data challenges, the SAGES CVS Challenge in particular, and the significance of surgical artificial intelligence.

      • Dr. Jennifer A. Eckhoff, MD,Postdoctoral Research Fellow – Surgical Artificial Intelligence and Innovation Laboratory at Massachusetts General Hospital, Boston; Surgical Resident, Department of General, Visceral, Tumor and Transplant Surgery, University Hospital Cologne, Germany

    • 15:40 - 16:00
      HEADLINER: Computational Collective Consciousness Ozanan Meireles, Surgeon at Massachusetts General Hospital; Director MGH Surgical Artificial Intelligence and Innovation Laboratory (SAIIL); Assistant Professor of Surgery, Harvard Medical School Track 2
      • Ozanan Meireles, Surgeon at Massachusetts General Hospital; Director MGH Surgical Artificial Intelligence and Innovation Laboratory (SAIIL); Assistant Professor of Surgery, Harvard Medical School

  • TRACK 3: WORKSHOPS
    • 14:00 - 14:30
      WORKSHOP: AI in the UK: Opportunities for collaboration and partnership Dr Chris Moore, Technology Sector Specialist, UK Department for International Trade (DIT) Track 3

      The UK is a global leader in the development of AI, supported by a strong research base, featuring 16 Centres of Doctoral Training, the Alan Turing Institute (a national facility for AI and Data Science and more than 2000 AI companies across the whole of the UK. The National AI Strategy which was published in 2021 highlights the significance of AI to the UK and provides a frame work to accelerate the uptake of AI across many sectors. The UK ecosystem will be described, illustrated by reference to key clusters, innovative startups, R&D initiatives and funding to support collaboration and partnership with UK companies and organisations.

      • Dr Chris Moore, Technology Sector Specialist, UK Department for International Trade (DIT)

    • 14:40 - 15:40
      WORKSHOP (14:40-15:40) Track 3
  • 15:20 - 15:40
    HEADLINER (15:20-15:40) Main Stage
  • 16:05 - 16:25
    REFRESHMENTS, NETWORKING AND MEET UP
  • 16:25 - 16:45
    HEADLINER: Learning Causal Representations Simon Lacoste-Julien, Associate Professor, Department of Computer Science and Operations Research, Université de Montréal; Co-Founding Member and Associate Scientific Director, Mila; Part-time Director, SAIT AI Lab Montreal from Samsung Main Stage
    • Simon Lacoste-Julien, Associate Professor, Department of Computer Science and Operations Research, Université de Montréal; Co-Founding Member and Associate Scientific Director, Mila; Part-time Director, SAIT AI Lab Montreal from Samsung

  • 16:45 - 17:10
    CLOSING PANEL DISCUSSION: Looking to the future: Bridging emerging AI technologies and human-centred design practices Main Stage
  • 17:10 - 17:30
    CLOSING HEADLINER: AI for Executives - the realities of deploying AI within enterprises Sol Rashidi, Former CDAO of Royal Caribbean, Sony Music, Merck Pharmaceuticals; CAO of Estée Lauder Main Stage

    There’s no doubt that ‘AI’ has taken over, however it’s important to ask ourselves, when it comes to your organizations, is everyone defining AI in the same manner? Does anyone have any real-world experience in deploying true AI? How do you sell it internally? How to budget for it? How do you properly build expectations for the roadmap duration and outputs? How to build it? What talent is needed? When to build vs buy? How to scale it? Very few individuals have had the pleasure of deploying true AI capabilities unless you come from the FANG’s of the world (Facebook, Amazon, Netflix, Google).  So today’s topic is to discuss the realities of deploying AI within your organization, and to ensure you’re properly prepared before stepping into this venture.

    • Sol Rashidi, Former CDAO of Royal Caribbean, Sony Music, Merck Pharmaceuticals; CAO of Estée Lauder

  • 17:30 -
    CLOSE OF WORLD SUMMIT AI

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