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  • Wednesday 19th
  • 07:30 - 08:30
    REGISTRATION
  • 08:30 - 09:00
    WELCOME AND MEET UP Main Stage
  • 09:00 - 09:10
    WELCOME InspiredMinds! Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS Main Stage
    • Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS

  • 09:10 - 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 - 09:45
    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

  • 09:45 - 10:10
    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

  • 10:10 - 10:35
    HEADLINER: AI for Good: harnessing AI to create a better future for all Krish Banerjee, Canada Managing Director, Data, Analytics & Applied Intelligence, Accenture Main Stage

    AI for Good is a rapidly evolving field that focuses on the use of Artificial Intelligence to address some of the world’s most pressing social and environmental challenges. This topic has gained increasing attention in recent years, as the potential of AI to create positive impact becomes more widely recognized. AI for Good encompasses a wide range of applications, from healthcare and education to climate change and poverty reduction. On this keynote, you will hear about the latest trends and advancements in AI for Good, opportunities and challenges associated with it and insights on how AI can be harnessed to create a better future for all.

    • Krish Banerjee, Canada Managing Director, Data, Analytics & Applied Intelligence, Accenture

  • 10:35 - 11:25
    REFRESHMENTS, NETWORKING AND MEET UP
  • WORLD SUMMIT AI PLENARY Chair:
    Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 11:25 - 12:05
      PANEL DISCUSSION: The Business Case for Responsible AI Panellists:
      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:

      • 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

    • 12:05 - 12:25
      HEADLINER: DIANA: A multinational accelerator for emerging and disruptive technologies Prof Deeph Chana, Managing Director, NATO Defence Innovation Accelerator for the North Atlantic (DIANA) Main Stage
      • Prof Deeph Chana, Managing Director, NATO Defence Innovation Accelerator for the North Atlantic (DIANA)

    • 12:25 - 12:55
      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
      Philippe Rambach, Senior Vice President, Chief Artificial Intelligence Officer, Schneider Electric
      Sylvie Makhzoum, Vice President, Data and Analytics, TD
      Moderator:
      Colleen Carter, VP, Partnerships, FAIRLY AI       Main Stage
      • Prasad Garigipati, Head of Ericsson Global AI Accelerator – AI Hub Canada & Head of Montreal Site, Ericsson

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

      • Sylvie Makhzoum, Vice President, Data and Analytics, TD

      • Moderator:

      • Colleen Carter, VP, Partnerships, FAIRLY AI

  • TRACK 1: DEEP DIVE TECH TALKS Chair:
    Nammi Sriharan, Executive Coach; Digital Transformation Leader; City Lead, Toronto, Women in AI
    • 11:25 - 11:45
      DEEP DIVE TECH TALK: Separating coherence from knowledge with Retrieval-Augmented Generation — anchoring Generative LLMs in domain-adapted semantic search Chau Tran, 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.

      • Chau Tran, Software Engineer, Glean Technologies

    • 11:45 - 12:05
      DEEP DIVE TECH TALK: Unlock your mind to command your devices: the Next Frontier of Brain-Computer Interface Dr. Naeem Komeilipoor, Founder and CTO, AAVAA Track 1

      In this talk, Naeem will explain how AAVAA wearable technologies decode the bioelectrical activity coming from the user’s brain, eyes, and facial muscles and further transform them into meaningful commands for devices. By infusing AAVAA into devices, you can listen to your desired sound, navigate a wheelchair, type on your phone or interact with a virtual or real environment simply by moving your head, blinking or using micro facial gestures.

      • Dr. Naeem Komeilipoor, Founder and CTO, AAVAA

    • 12:05 - 12:25
      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

    • 12:25 - 13:55
      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
      Phong Nguyen, Chief AI Officer, FPT Software
      Ivey Chiu, Program Manager - Special Projects & Innovation, TELUS
      Moderator:
      Frincy Clement, Principal Data Scientist, ADP; Ambassador for Canada, Women in AI       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

      • Phong Nguyen, Chief AI Officer, FPT Software

      • Ivey Chiu, Program Manager - Special Projects & Innovation, TELUS

      • Moderator:

      • Frincy Clement, Principal Data Scientist, ADP; Ambassador for Canada, Women in AI

  • 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. Chair:
    Dr Anthony Rhem, Ambassador, AI Time Journal; CEO/Principal Consultant, A.J. Rhem & Associates, Inc
    • 11:25 - 11:45
      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

    • 11:45 - 11:55
      INNOVATION INSIGHT: Reducing the burden of maintaining a building with AI: What new technologies can bring to building management and their stakeholders? Youssef Loudivi, Chief Artificial Intelligence and Founder, Inspect AI Track 2

      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 Loudivi, Chief Artificial Intelligence and Founder, Inspect AI

    • 11:55 - 12:05
      INNOVATION INSIGHT: How can AI improve organ donation? Hobivola A. Rabearivelo, Chief Strategy Officer and Co-Founder, BIEX Health Track 2

      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, Chief Strategy Officer and Co-Founder, BIEX Health

    • 12:05 - 12:35
      HEADLINER: AI eats software: The next wave of AI commercialization Parasvil Patel, Partner, Radical Ventures Track 2

      This talk will explore how commercialization of AI innovation and associated AI startup activity has happened in waves, each with its distinctive pattern. Since deep learning’s ImageNet moment a decade ago, broad-based research-driven commercialization has given way to use case specific AI applications. In the next major wave post the ChatGPT moment, AI technologies will become embedded across all software applications. The talk will cover how AI commercialization will progress over the next decade and the opportunities it creates for startups and enterprises.

      • Parasvil Patel, Partner, Radical Ventures

    • 12:35 - 12:55
      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
    • 11:25 - 12:25
      WORKSHOP: Accelerate ML Innovation with Amazon SageMaker JumpStart Kristine Pearce, Principal ML Business Development Manager, Amazon Web Services (AWS)
      Meena Thandavarayan, AI/ML Specialist, Amazon Web Services (AWS)       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.

      • Kristine Pearce, Principal ML Business Development Manager, Amazon Web Services (AWS)

      • Meena Thandavarayan, AI/ML Specialist, Amazon Web Services (AWS)

  • 12:55 - 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
      Cari Covent, VP, Intelligent Automation, Canadian Tire       Main Stage
      • Jack Klejka, VP of Product Management, IVADO Labs

      • Cari Covent, VP, Intelligent Automation, Canadian Tire

    • 14:40 - 15:20
      PANEL DISCUSSION: Reimagining the Future of Health with Big Tech Giants and AI Panelists:
      Dr Geeta Nayyar, SVP, Chief Medical Officer, Salesforce
      Dr Sonny Kohli, Assistant Prof (adj.), McMaster University; Internal Med/Critical Care, Oakville Hospital; Vice President, Medical & Regulatory Affairs, Roche
      Dr Sahar Hashmi, CEO, Myriad Consulting LLC
      Dr Sheela Agarwal, Chief Medical Information Officer, Diagnostic Imaging and AI, Nuance Communications
      Moderator:
      Kevin Pereau, Founder and Principal, TranscendIT Health       Main Stage
      • Panelists:

      • Dr Geeta Nayyar, SVP, Chief Medical Officer, Salesforce

      • Dr Sonny Kohli, Assistant Prof (adj.), McMaster University; Internal Med/Critical Care, Oakville Hospital; Vice President, Medical & Regulatory Affairs, Roche

      • Dr Sahar Hashmi, CEO, Myriad Consulting LLC

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

      • Moderator:

      • Kevin Pereau, Founder and Principal, TranscendIT Health

    • 15:20 - 15:40
      HEADLINER: Breaking silos and developing a connected decision eco-system using AI Jasjit Singh,  Global Head of Connected Insights Mars Wrigley ODDA Main Stage

      Many large organizations are rife with silos that result in sub-optimal decision-making. In a highly networked world where interactions are more critical than entities, organizations must create a connected data foundation and harness the power of AI to empower decision-makers with connected insights and recommendations. Craft a plan that emphasizes: 

      •     Purpose of creating a connected decision eco-system in your organization 
      •       Barriers & Enablers for an enterprise-first decision mindset 
      •       Importance of connected data foundation to unleash the full power of AI

      Develop a data analytics organization that empowers leaders to be enterprise-first decision-makers   

      • Jasjit Singh,  Global Head of Connected Insights Mars Wrigley ODDA

    • 15:40 - 16:00
      HEADLINER: Deploying AI models at scale - Digital twins for industrial heating grids Victor Pereboom, Co-Founder and CTO, UbiOps
      Tanja Crijns, Digital Twin Engineer, Gradyent       Main Stage

      The focus in the AI & ML field is shifting from developing models towards deploying and running AI solutions in production. However this often remains a challenge for many data science teams. We’ll dive into the journey to production-grade AI and how Gradyent deploys and productionizes AI-driven digital twin technology to optimize heating grids, as well as how MLOps is changing in 2023 and how new developments in the AI field change the way businesses build and deploy AI solutions. 

      • Victor Pereboom, Co-Founder and CTO, UbiOps

      • Tanja Crijns, Digital Twin Engineer, Gradyent

  • TRACK 1: DEEP DIVE TECH TALKS Chair:
    Renju Sudhakaran, Corporate Services, Public Sector & Operations Lead, Women in AI Toronto
    • 14:00 - 14:20
      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)
      François Chabot, Co-Founder, Technology, 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)

      • François Chabot, Co-Founder, Technology, AI Redefined (AIR)

    • 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: How to use Natural Language Processing to power everyday apps and experiences Alex Wang, Manager, Machine Learning, Cohere Track 1

      Worldwide organizations are making NLP at the heart of their data science team’s work for various areas of the business. Dedicating time and investment to NLP is catapulting some to far better returns as they see real, actionable insights, improve customer satisfaction, and streamline processes to reduce costs. The scope of NLPs is on the brink and only set to grow as this area of technology grows.

      • Alex Wang, Manager, Machine Learning, Cohere

    • 15:20 - 16:00
      PANEL DISCUSSION: The benefits and burdens of open-source software tools 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. 

      • 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. Chair:
    Dr Anthony Rhem, Ambassador, AI Time Journal; CEO/Principal Consultant, A.J. Rhem & Associates, Inc
    • 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 Patrick Seguin, Outreach and Marketing, Innovative Solutions Canada
      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.

      • Patrick Seguin, Outreach and Marketing, Innovative Solutions Canada

      • 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: Data-centric AI: How to improve your AI using feature space Michael Hwang, Co-Founder, Datumo Track 2

      In this keynote, we will explore the critical role of data preparation in powering the AI Data Flywheel for data-centric AI. We will discuss various aspects of data preparation, including data curation, finding edge cases, dataset building, analysis, and management, and how software tools can assist with these tasks. We will explore the latest trends in data-centric AI and how software tools can be used to automatically curate, analyze, and manage datasets, leading to a more effective AI Data Flywheel. By the end of this keynote, attendees will have a better understanding of the critical role of data preparation in the AI Data Flywheel for data-centric AI, and how Datumo’s software tools can assist in preparing data effectively for optimal results

      • Michael Hwang, Co-Founder, Datumo

    • 15:20 - 15:40
      INNOVATION INSIGHT: Manage the risks of Generative AI and make informed decisions with end-to-end AI Policy Enforcement David Van Bruwaene, Founder and CEO, FAIRLY AI Track 2

      Assess the performance of generative AI systems against regulations and policies providing audit ready reports. David will demonstrate how easy it is to:Ensure compliance of AI systems across the complex landscape of global policies and regulations; Save time with simplified evidence collection and documentation by connecting directly to ground truth of all AI systems; and make informed decisions at scale as a non-technical or technical stakeholder by assessing system risk in dashboards and reports at any time

      • David Van Bruwaene, Founder and CEO, FAIRLY AI

  • 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 - 16:20
    REFRESHMENTS, NETWORKING AND MEET UP
  • 16:20 - 16:40
    HEADLINER: Applied AI for a sustainable and safe future in Aviation and Defence Abha Dogra, Chief Digital and Technology Officer, CAE Main Stage

    Commercial pilots and military people assume critical roles whose expertise allows us to stay safe. To prepare them for the moments that matter, they must train with operations-support solutions and services adapted for the ever-evolving world we live in. Thanks to AI and mixed reality, a new era of training is now possible to create a safer world. Join this session to learn more through various use cases.

    • Abha Dogra, Chief Digital and Technology Officer, CAE

  • 16:40 - 17:15
    PANEL DISCUSSION: Examining the opportunities created by and limitations of ChatGPT and Generative AI Cassie Kozyrkov, Chief Decision Scientist, Google
    Sol Rashidi, Former CDAO of Royal Caribbean, Sony Music, Merck Pharmaceuticals; CAO of Estée Lauder
    Chair:
    Philip Dawson, Head, Global AI Policy & Advisory, Armilla AI; AI Policy Lead, Schwartz Reisman Institute for Technology and Society     Main Stage
    • Cassie Kozyrkov, Chief Decision Scientist, Google

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

    • Chair:

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

  • 17:15 - 17:40
    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

  • 17:50 -
    CLOSE OF SUMMIT DAY ONE
  • Thursday 20th
  • 08:00 - 08:30
    REGISTRATION
  • 08:30 - 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: A culture of open and reproducible research, in the era of large AI generative models Joelle Pineau, Associate Professor and William Dawson Scholar, School of Computer Science, McGill University; Co-Managing Director, Meta AI Research Main Stage

    We have seen in the last year an incredible pace of progress in large AI models, with increasing abilities to generate high quality images, videos, text, sound and more.  The best of these models display signs of creativity, reasoning, generalization and plasticity beyond what we could imagine just a few years ago.  Yet many challenges and open questions remain, both on the technological aspects and the societal impact of these models.  Further progress, especially on mitigating the social risks of these models, is hampered by a lack of transparency and reproducibility. In this talk, Joelle will describe ongoing efforts to increase best practices towards the responsible training and deployment of AI research systems, drawing on her experience with the ML reproducibility program, and the recent release of several state-of-the-art large models.

    • 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 Panellists:
    Mark Fernandes, Chief Information Security Officer, CAE
    Michaël Chassé, Medical Specialist, Intensive Care, Centre hospitalier de l'Université de Montréal (CHUM); Principal Scientist, CHUM Research Centre; Associate Professor, Department of Medicine and the School of Public Health, Université de Montréal
    Migan Megardichian, Vice Chair - Privacy, Cybersecurity & Digital Rights Committee, American Bar Association Section of International Law; Senior Program Manager, Privacy & Innovation, TELUS
    Moderator:
    Pamela Gupta, CEO, Co-President, Trusted AI™ an OutSecure Inc company, AI Cybersecurity Chair, IEEE     Main Stage
    • How much security is enough?
    • Panellists:

    • Mark Fernandes, Chief Information Security Officer, CAE

    • Michaël Chassé, Medical Specialist, Intensive Care, Centre hospitalier de l'Université de Montréal (CHUM); Principal Scientist, CHUM Research Centre; Associate Professor, Department of Medicine and the School of Public Health, Université de Montréal

    • Migan Megardichian, Vice Chair - Privacy, Cybersecurity & Digital Rights Committee, American Bar Association Section of International Law; Senior Program Manager, Privacy & Innovation, TELUS

    • 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 - 12:30
      IN CONVERSATION: (12:20-12:30) Prof Gary Marcus, Professor of Psychology and Neural Science, New York University
      Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com       Main Stage

      Gary Marcus, Scientist, Author, Founder, Professor Emeritus, NYU will be talking to Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com

      • Prof Gary Marcus, Professor of Psychology and Neural Science, New York University

      • Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com

    • 12:45 - 13:05
      FIRESIDE CHAT: The Future of Enterprise AI: Developing Trust and AI Governance for Sustainable Business Giovanni Leoni, Head of Business Strategy and Development, Credo AI
      Peter Hallinan, Leader, Responsible AI, AWS       Main Stage

      Join Giovanni Leoni, Head of Business Strategy & Development at Credo AI and former Global Head of Algorithm and AI Ethics at Inter IKEA Group, and Peter Hallinan, Leader, Responsible AI at AWS AI, for a fireside chat on the future of enterprise AI. They will explore the critical role of developing trust and governance for sustainable business, and share practical strategies on how organizations can balance innovation and responsibility while building consumer confidence in AI technology.

      • Giovanni Leoni, Head of Business Strategy and Development, Credo AI

      • Peter Hallinan, Leader, Responsible AI, AWS

  • TRACK 1: DEEP DIVE TECH TALKS – In Partnership with Mila Chair:
    Seynabou Ndiaye, Software Developer, Sama; Montreal City lead, Women in AI
    • 11:40 - 12:00
      DEEP DIVE TECH TALK: Algorithmic Fairness: A Pathway to Developing Responsible AI Systems Golnoosh Farnadi, CIFAR AI Chair holder;Core Academic Member, Mila Assistant Professor at HEC Montréal Track 1

      The increased use of artificial intelligence and machine learning tools in critical domains such as employment, education, policing, and loan approval has led to concerns about potential harms and risks, including biases and algorithmic discrimination. As a result, a new field called algorithmic fairness has emerged to address these issues. In this presentation, Golnoosh will stress the importance of fairness and provide an overview of techniques for ensuring algorithmic fairness. She will also explain why this can be a challenging task when considering other aspects of responsible AI, such as privacy. In conclusion, Golnoosh will raise some open questions and suggest future directions for building a responsible AI system based on algorithmic fairness.

      • Golnoosh Farnadi, CIFAR AI Chair holder;Core Academic Member, Mila Assistant Professor at HEC Montréal

    • 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: Machine learning paradigms towards single subject prediction Danilo Bzdok, MD, PhD;Associate Professor, Lab director at McGill and Mila Track 1

      The nature of mental illness remains a conundrum. Traditional disease categories are increasingly suspected to misrepresent the causes underlying mental disturbance. Yet psychiatrists and investigators now have an unprece- dented opportunity to benefit from complex patterns in brain, behavior, and genes using methods from machine learning (e.g., support vector machines, modern neural-network algorithms, cross-validation procedures). Combining these analysis techniques with a wealth of data from consortia and repositories has the potential to advance a biologically grounded redefinition of major psychiatric disorders. Increasing evidence suggests that data-derived subgroups of psychiatric patients can better predict treatment outcomes than DSM/ICD diagnoses can. In a new era of evidence-based psychiatry tailored to single patients, objectively measurable endophenotypes could allow for early disease detection, individualized treatment selection, and dosage adjustment to reduce the burden of disease. This primer aims to introduce clinicians and researchers to the opportunities and challenges in bringing machine intelligence into psychiatric practice.

      • Danilo Bzdok, MD, PhD;Associate Professor, Lab director at McGill and Mila

    • 12:40 - 13:00
      DEEP DIVE TECH TALK: Going Beyond Prediction: Causal Inference from Text with Machine Learning Dhanya Sridhar, Assistant Professor at Université de Montréal, Core Academic Member of Mila Track 1

      Imagine that we want to know the impact of a new feature on a social media platform, or the effect of a new content moderation policy. Just predicting the relationship between the “treatment” of interest and an outcome will not reveal the causal impact that the treatment has on the outcome. While the longstanding field of causal inference offers theoretical foundations for this problem, the methods are not suited to a key aspect of this setting: noisy and high-dimensional text — from posts and other content — encode many of the meaningful variables in this causal inference. In this talk, Dhanya will introduce causally sufficient text embeddings, a general framework for adapting machine learning methods to recover causal variables so that we can go beyond prediction and draw causal inferences from text.

      • Dhanya Sridhar, Assistant Professor at Université de Montréal, Core Academic Member of Mila

  • 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 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

    • 12:00 - 12:20
      HEADLINER: Current Applications of AI in Surgery Dr. Teodor Grantcharov, Professor of Surgery, Stanford University; Associate Chief Quality Officer for Innovation and Safety, Stanford Healthcare Track 2
      • Dr. Teodor Grantcharov, Professor of Surgery, Stanford University; Associate Chief Quality Officer for Innovation and Safety, Stanford Healthcare

    • 12:20 - 12:40
      HEADLINER: Humans & AI - on the Road and in the Operating Room Dr. Guy Rosman, Associate Director of Computation, Surgical Artificial Intelligence and Innovation Lab, Massachusetts General Hospital; Manager, Human Aware Learning team within the Human Interactive Driving (HID) division, Toyota Research Institute (TRI) Track 2
      • Dr. Guy Rosman, Associate Director of Computation, Surgical Artificial Intelligence and Innovation Lab, Massachusetts General Hospital; Manager, Human Aware Learning team within the Human Interactive Driving (HID) division, Toyota Research Institute (TRI)

    • 12:40 - 13:05
      FIRESIDE CHAT: A Glimpse into the Future of AI in Surgery: Challenges, Opportunities, and Ethical Considerations Dr. Guy Rosman, Associate Director of Computation, Surgical Artificial Intelligence and Innovation Lab, Massachusetts General Hospital; Manager, Human Aware Learning team within the Human Interactive Driving (HID) division, Toyota Research Institute (TRI)
      Keith Griffis, Executive Director of Marketing, Surgical Endoscopy and Systems Integration, Olympus Corporation of the Americas       Track 2

      In this engaging Panel Discussion, Dr. Ozanan Meireles will lead a conversation around the following topics:

      • Addressing current limitations and potential advancements in surgical AI
      • Exploring the impact of AI on surgical training and education
      • Evaluating the ethical implications of AI integration in surgical practice
      • Considering potential interdisciplinary collaboration between the tech industry and the surgical field

      The fireside chat format will encourage a more intimate and interactive exchange of ideas, allowing the panelists to delve deeper into each topic and share their unique perspectives on the future of AI in surgery.

      • Dr. Guy Rosman, Associate Director of Computation, Surgical Artificial Intelligence and Innovation Lab, Massachusetts General Hospital; Manager, Human Aware Learning team within the Human Interactive Driving (HID) division, Toyota Research Institute (TRI)

      • Keith Griffis, Executive Director of Marketing, Surgical Endoscopy and Systems Integration, Olympus Corporation of the Americas

  • TRACK 3: WORKSHOPS
    • 11:40 - 12:10
      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)

  • 13:05 - 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 - 14:20
      HEADLINER: Speechbrain: An Open-Source toolkit for Conversational AI Mirco Ravanelli, Adjunct Professor, Université de Montréal; Mila associate member; Assistant Professor, Concordia University Main Stage

      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

    • 14:20 - 14:40
      HEADLINER: Advancing multimodal vision-language learning Aishwarya Agrawal, Assistant Professor, Department of Computer Science and Operations Research, University of Montreal; Core Member and Canada CIFAR AI Chair, Mila, Quebec Artificial Intelligence Institute; Research Scientist, DeepMind Main Stage

      Over the last decade, multimodal vision-language (VL) research has seen impressive progress. We can now automatically caption images in natural language, answer natural language questions about images, retrieve images using complex natural language queries and even generate images given natural language descriptions. However, current VL systems face several challenges that prevent them from being practically usable: out-of-distribution generalization, data-efficient adaptation to new tasks, visio-linguistic compositional reasoning, robust automatic evaluation, common sense and factual knowledge reasoning, interpretability and explainability, overcoming spurious correlations and biases in data etc. In this talk, Aishwarya will provide a brief overview of progress in VL, highlight some of the challenges and then talk about some recent work from her lab towards tackling some of these challenges.

      • Aishwarya Agrawal, Assistant Professor, Department of Computer Science and Operations Research, University of Montreal; Core Member and Canada CIFAR AI Chair, Mila, Quebec Artificial Intelligence Institute; Research Scientist, DeepMind

    • 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

      Building the hospital of the future demands a large understanding of current challenges in the health sector as well as implementing innovative solutions to address them. What does it take to come up with innovative solutions? Technology, data analyzed by artificial intelligence, and development of human skills are the key to create an innovative hospital devoted to serving patients and the Quebec population.   

      • 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
      FIRESIDE CHAT: Envisioning the Intelligent Enterprise: Exploring the Future of Language AI Aidan Gomez, Co-Founder & CEO, Cohere Jordan Jacobs, Co-Founder and Managing Partner, Radical Ventures
      Jordan Jacobs, Co-Founder and Managing Partner, Radical Ventures       Main Stage

      Natural language sits at the heart of human intelligence; it is the unique skill that unambiguously separates us from other species and provides a window into how our minds process the world. As we continue to equip machines with the ability to understand and respond to language, people are beginning to realize the full potential of this technology, and many businesses are wondering how they can implement it to improve business operations. In this session, Aidan and Jordan will discuss their perspectives on the various use cases for NLP in the enterprise and how NLP will be ubiquitous in the technology of the future. Attendees will come away with a greater understanding of where the industry currently stands and what needs to happen for these language models to be widely adopted.

      • Aidan Gomez, Co-Founder & CEO, Cohere Jordan Jacobs, Co-Founder and Managing Partner, Radical Ventures

      • Jordan Jacobs, Co-Founder and Managing Partner, Radical Ventures

    • 15:40 - 16:00
      HEADLINER: AI in Healthcare - Trends and Intrapreneurship Dr. Helia Mohammadi, Chief Data Scientist and Health & Life Sciences Industry Lead, Microsoft Canada. Main Stage

      What strategies should Canadian healthcare leaders be considering when crafting their AI, Data Analytics, and technology adoption to better benefit patients, care teams, and researchers? From clinical analytics to precision medicine, a successful AI and data analytics strategy must consider cultural, business, technological and ethical issues all while driving innovation through intrapreneurship.

      • Dr. Helia Mohammadi, Chief Data Scientist and Health & Life Sciences Industry Lead, Microsoft Canada.

  • 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. Chair:
    Dr Anthony Rhem, Ambassador, AI Time Journal; CEO/Principal Consultant, A.J. Rhem & Associates, Inc
    • 14:00 - 14:40
      PANEL DISCUSSION: Optimizing the maritime industry with AI Panellists:
      Simon Savard, Analyst - Strategy & Innovation, Port de Montréal
      Edward Ko, Co-Founder, Mely.ai
      Moderator:
      Amélie Desrochers, Director of Innovation, NOVARIUM       Track 1

      The Blue Economy market will reach a 3 trillion UDS$ valuation by 2030, half of which is generated by the maritime industry. The pandemic highlighted the crucial role of seaway transportation in our daily lives.

      Novarium meets with key industry partners who are rethinking the maritime supply chain and the way we generate and utilize data to optimize operations. 

      • Panellists:

      • Simon Savard, Analyst - Strategy & Innovation, Port de Montréal

      • Edward Ko, Co-Founder, Mely.ai

      • Moderator:

      • Amélie Desrochers, Director of Innovation, NOVARIUM

    • 14:40 - 16:00
      STARTUPS SHOWCASE - Prize kindly provided by Accenture Startups:
      Nancy Coblenz, CEO, MyBrand AI
      Mike Leslie, Co-founder, Business Lead, Revela Systems
      Kevin Poirier, Product Manager, Nuvoola AI
      Louis A.Young, II, Founder & CEO, Healthmetryx, Inc.
      Judges:
      Dr Anthony Rhem, Ambassador, AI Time Journal; CEO/Principal Consultant, A.J. Rhem & Associates, Inc
      Amélie Desrochers, Director of Innovation, NOVARIUM
      Matthieu Ousset, Senior Manager, Data, Analytics & Applied Intelligence, Accenture
      Giovanni Leoni, Head of Business Strategy and Development, Credo AI       Track 1

      Four AI startups short-listed for our showcase get 10 minutes to pitch their business idea to four judges. 

      After each pitch, judges get 5 minutes to ask questions about the venture. 

      • Startups:

      • Nancy Coblenz, CEO, MyBrand AI

      • Mike Leslie, Co-founder, Business Lead, Revela Systems

      • Kevin Poirier, Product Manager, Nuvoola AI

      • Louis A.Young, II, Founder & CEO, Healthmetryx, Inc.

      • Judges:

      • Dr Anthony Rhem, Ambassador, AI Time Journal; CEO/Principal Consultant, A.J. Rhem & Associates, Inc

      • Amélie Desrochers, Director of Innovation, NOVARIUM

      • Matthieu Ousset, Senior Manager, Data, Analytics & Applied Intelligence, Accenture

      • Giovanni Leoni, Head of Business Strategy and Development, Credo AI

  • 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

      The biggest hurdle to the advancement of surgical AI is access to usable data to train the algorithms. This talk will discuss the challenges with acquiring video data within a hospital, the necessary rules and regulations to follow, and how to discuss the technical architecture and constraints present within most hospital systems. At the end of this talk you should know the data needed, the privacy and governance concerns, and how to approach a hospital about acquiring data, and the guardrails to follow for a successful project.

      • Keith Griffis, Executive Director of Marketing, Surgical Endoscopy and Systems Integration, Olympus Corporation of the Americas

    • 14:20 - 14:40
      HEADLINER: Financial Market and Investment Outlook of Surgical AI Dennis McWilliams, Partner, SANTÉ Track 2
      • Dennis McWilliams, Partner, SANTÉ

    • 14:40 - 15:00
      HEADLINER: SAGES and AI - Surgical Society Initiative Ozanan Meireles, Surgeon at Massachusetts General Hospital; Director MGH Surgical Artificial Intelligence and Innovation Laboratory (SAIIL); Assistant Professor of Surgery, Harvard Medical School
      • Ozanan Meireles, Surgeon at Massachusetts General Hospital; Director MGH Surgical Artificial Intelligence and Innovation Laboratory (SAIIL); Assistant Professor of Surgery, Harvard Medical School

    • 15:00 - 15:20
      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

    • 15:20 - 16:00
      PANEL DISCUSSION: Empowering Surgical AI through Data and Financial Strategies: Overcoming Challenges and Driving Progress Panellists:
      Dr. Guy Rosman, Associate Director of Computation, Surgical Artificial Intelligence and Innovation Lab, Massachusetts General Hospital; Manager, Human Aware Learning team within the Human Interactive Driving (HID) division, Toyota Research Institute (TRI)
      Keith Griffis, Executive Director of Marketing, Surgical Endoscopy and Systems Integration, Olympus Corporation of the Americas
      Dennis McWilliams, Partner, SANTÉ       Track 2

      This enhanced panel discussion topic emphasizes the importance of data and financial strategies in powering surgical AI’s development and innovation while also addressing the challenges and opportunities that lie ahead. 

       

      Discussing the critical role of data governance and management in advancing surgical AI

      Assessing the impact of financial markets and investment trends on the growth and innovation of surgical AI

      Identifying the primary challenges in surgical data collection, utilization, and security

      Evaluating the role of surgical society initiatives in fostering AI integration, collaboration, and adoption

      This enhanced panel discussion topic emphasizes the importance of data and financial strategies in powering surgical AI’s development and innovation, while also addressing the challenges and opportunities that lie ahead.

      • Panellists:

      • Dr. Guy Rosman, Associate Director of Computation, Surgical Artificial Intelligence and Innovation Lab, Massachusetts General Hospital; Manager, Human Aware Learning team within the Human Interactive Driving (HID) division, Toyota Research Institute (TRI)

      • Keith Griffis, Executive Director of Marketing, Surgical Endoscopy and Systems Integration, Olympus Corporation of the Americas

      • Dennis McWilliams, Partner, SANTÉ

  • TRACK 3: WORKSHOPS
  • 16:00 - 16:20
    REFRESHMENTS, NETWORKING AND MEET UP
  • 16:20 - 16:40
    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

    Suppose you are a robot trying to make sense of the world from images only and interventions. I will present a method that can learn both the causal variables and its causal graphical model just from high dimensional observations (like images) and potential interventions, with theoretical guarantees, thereby taking some first steps towards causal representation learning, and helping our robot to make sense of the world.

    • 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

  • 16:40 - 17:05
    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

  • 17:05 - 17:08
    ANNOUNCEMENT OF STARTUPS SHOWCASE WINNER by Matthieu Ousset, Senior Manager, Data, Analytics & Applied Intelligence, Accenture Matthieu Ousset, Senior Manager, Data, Analytics & Applied Intelligence, Accenture Main Stage
    • Matthieu Ousset, Senior Manager, Data, Analytics & Applied Intelligence, Accenture

  • 17:08 -
    CLOSE OF WORLD SUMMIT AI

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