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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, Borough Mayor, City of Montréal
    • Luc Rabouin, Borough Mayor, 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 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 Main Stage
  • 10:30 - 11:00
    PANEL DISCUSSION: Reaching AI Maturity - How do you actively advance from proof of concept to realisation in the business Main Stage
  • 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, Inter-American Development Bank
      Jesslyn Dymond, Director of Data Ethics, TELUS
      Moderator:
      Philip Dawson, Head, Global AI Policy & Advisory, Armilla AI; AI Policy Lead, Schwartz Reisman Institute for Technology and Society       Main

      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, Inter-American Development Bank

      • Jesslyn Dymond, Director of Data Ethics, TELUS

      • 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
    • 12:35 - 13:05
      PANEL DISCUSSION: How to build an AI Organisation Main
  • TRACK 1: AI IN ACTION ENTERPRISE STORIES
    • 11:35 - 11:55
      USE CASE: Building the hospital of the future Nathalie Beaulieu, Chief Learning Officer, Centre hospitalier de l’Université de Montréal (CHUM); Executive Director, CHUM School of AI in Healthcare
      Natalie Mayerhofer, Associate to the Chief Learning Officer (CHUM), Co-Founder, CHUM School of AI in Healthcare       Track 1
      • Nathalie Beaulieu, Chief Learning Officer, Centre hospitalier de l’Université de Montréal (CHUM); Executive Director, CHUM School of AI in Healthcare

      • Natalie Mayerhofer, Associate to the Chief Learning Officer (CHUM), Co-Founder, CHUM School of AI in Healthcare

    • 11:55 - 12:15
      USE CASE Track 1
    • 12:15 - 12:35
      USE CASE Track 1
    • 12:35 - 12:55
      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 Track 1
      • Constanza Gomez Mont, Founder, C Minds and AI for Climate; 2021-2022 Chair, AI for Humanity Global Future Council, World Economic Forum

  • TRACK 2: DEEP DIVE TECH TALKS
    • 11:35 - 11:55
      DEEP DIVE TECH TALK: Generative AI Track 2
    • 11:55 - 12:15
      DEEP DIVE TECH TALK: Using the first multi-omics, AI risk prediction tool kit for breast cancer to improve patient care Track 2
    • 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 2

      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 Track 2

      Products developed by researchers that simply doesn’t work in industry: What are sources of failure on that interface and how best to address these.

      • Jack Klejka, VP of Product Management, IVADO Labs

  • TRACK 3: INTELLIGENT HEALTH
    • 11:35 - 11:55
      HEADLINER: Addressing social and behavioural determinants for health in the digital age Track 3
    • 11:55 - 12:15
      HEADLINER: Using tech to help people advocate for their own health Track 3
    • 12:15 - 12:35
      USE CASE: Using AI to transform healthcare for the poorest and underserved Track 3
    • 12:35 - 13:05
      KEYNOTE PANEL DISCUSSION: Should the healthcare sector have the right to use patient data, with or without their consent, for the greater good? Dr. Sonny Kohli, MD FRCPC, Vice-President, Medical & Regulatory Affairs, Roche Canada Pharma Internal Medicine/Critical Care, Halton Healthcare Assistant Clinical Professor (adjunct), McMaster University Track 3
      • Dr. Sonny Kohli, MD FRCPC, Vice-President, Medical & Regulatory Affairs, Roche Canada Pharma Internal Medicine/Critical Care, Halton Healthcare Assistant Clinical Professor (adjunct), McMaster University

  • TRACK 4: INNOVATION INSIGHTS
    • 11:35 - 11:55
      INNOVATION INSIGHT: Governing AI Projects Without Killing Innovation – A Use Case Mario Cantin, CEO & Chief Data Strategist, Prodago Track 4

      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 - 12:05
      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 4

      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

    • 12:05 - 12:15
      INNOVATION INSIGHT: How can AI improve organ donation? HOBIVOLA A. RABEARIVELO, Chief Strategy Officer and Co-Founder, BIEX Health Track 4

      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

    • 12:15 - 12:50
      PANEL DISCUSSION: Ask the Investors: How to take your start-up to the next stage: What are investors looking for? Track 4
      • 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?
    • 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 4

      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 5-6: WORKSHOPS, AND ROUNDTABLES
    • 11:35 - 12:35
      WORKSHOP: Amazon Web Services Track 5
  • 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 Carol Reiley, CEO and Mother of Robots Main
      • Carol Reiley, CEO and Mother of Robots

    • 14:20 - 14:40
      HEADLINER
    • 14:40 - 15:00
      HEADLINER: Creating an AI-driven ecosystem for financial wellness Main
    • 15:00 - 15:20
      HEADLINER: Using automation and AI for smart mining Main
    • 15:20 - 15:40
      HEADLINER: Deploying outcomes-focused AI solutions to transform the healthcare journey and innovate for the future Main
    • 15:40 - 16:00
      HEADLINER: Building reliable interpretable, and steerable AI systems Main
  • TRACK 1: AI IN ACTION ENTERPRISE STORIES
    • 14:00 - 14:20
      KEYNOTE USE CASE: Unlocking the possibilities of connected vehicle data Track 1
    • 14:20 - 14:40
      USE CASE: How AT&T’s Robotic Process Automation is transforming the game Dhruval Shah, Director of Intelligent Automation, Chief Data Officer, AT&T Track 1
      • Dhruval Shah, Director of Intelligent Automation, Chief Data Officer, AT&T

    • 14:40 - 15:00
      USE CASE Jack Klejka, VP of Product Management, IVADO Labs Track 1
      • Jack Klejka, VP of Product Management, IVADO Labs

    • 15:00 - 15:40
      PANEL DISCUSSION: How AI is Reshaping the InvestTech Industry Track 1
      • AI and the use of data in the InvestTech sector 
      • What are the current global challenges in this sector?
      • Latest developements in RegTech
      • Using technological advancement to combat cyber crime
      • How can incumbent banks use AI when constrained by legacy systems
      • What’s the future of InvestTech?

       

    • 15:40 - 16:00
      USE CASE Track 1

      UbiOps

  • TRACK 2: DEEP DIVE TECH TALKS
    • 14:00 - 14:20
      DEEP DIVE TECH TALK: How LLMs help machines understand human language Track 2
    • 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 2
      • 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 2

      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: Exploring how the human brain handles the complexities of language to inspire the next generation of semantic models Track 2
    • 15:20 - 15:40
      DEEP DIVE TECH TALK: Applied AI alignment Track 2
    • 15:40 - 16:10
      PANEL DISCUSSION: The benefits and burdens of open-source software tools Moderator:
      Dr Jason Behrmann, Senior Director of Marketing & Business Development, Zetane       Track 2

      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. 

      • Moderator:

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

  • TRACK 3: INTELLIGENT HEALTH
    • 14:00 - 14:20
      HEADLINER: Digitalizating healthcare to deliver value-based care and improve the patient journey Track 3
    • 14:20 - 15:00
      PANEL DISCUSSION: Championing a collaborative approach in the fight against cancer Track 3
    • 15:00 - 15:20
      HEADLINER: Leveraging deep clinical insights and big data analytics Track 3
    • 15:20 - 15:40
      INNOVATION INSIGHT Track 3
    • 15:40 - 16:00
      HEADLINER: Reimagining the Future of Health Geeta Nayyar, SVP, Chief Medical Officer, Salesforce Track 3
      • Geeta Nayyar, SVP, Chief Medical Officer, Salesforce

  • TRACK 4: INNOVATION INSIGHTS
    • 14:00 - 14:20
      INNOVATION INSIGHT: Generating Music with AI - How to create controlled, high quality music Taehyun Kim, Chief Strategy Officer, POZAlabs Track 4

      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 Track 4

      Ideas/ISED

    • 14:40 - 15:00
      INNOVATION INSIGHT Track 4

      En-Gon

    • 15:00 - 15:20
      INNOVATION INSIGHT Track 4
    • 15:20 - 16:00
      PANEL DISCUSSION: How to build meaningful strategic partnerships Track 4
  • TRACK 5-6: WORKSHOPS, AND ROUNDTABLES
    • 14:00 - 14:30
      WORKSHOP Patricia Thaine, Co-Founder & CEO, Private AI Track 5
      • Patricia Thaine, Co-Founder & CEO, Private AI

    • 14:40 - 15:15
      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 5

      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

  • 16:00 - 16:40
    REFRESHMENTS, NETWORKING AND MEET UP
  • 16:40 - 17:15
    THE BIG DEBATE ‘This house believes that the current lack of trust in AI is leading us into another looming AI Winter’ Chair:
    Professor AJung Moon, Assistant Professor (ECE), McGill University     Main Stage
    • Reduction in funding and manpower – mass layoffs in big tech
    • Reduced interest in certain branches of the field
    • Is regulation the key? C-27 Bill. Harms-based vs rights-based legislation and ask which is better approach
    • Should big tech companies retain liability shields for content posted on them? They do own the proprietary software but what should transparency requirements be?
    • Chair:

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

  • 17:15 - 17:35
    HEADLINER Using Foundation Models to dramatically accelerate AI adoption in enterprise Main Stage
  • 17:35 - 17:55
    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

  • 17:55 - 17:55
    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: Addressing the impact of humanistic artificial intelligence Main Stage
  • 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 - 11:10
    HEADLINER Dr Athina Kanioura, Chief Strategy and Transformation Officer, PepsiCo Main Stage
    • Dr Athina Kanioura, Chief Strategy and Transformation Officer, PepsiCo

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

      How putting marginalized people at the very center of design and technology can change the world for the better

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

    • 12:00 - 12:20
      HEADLINER: Democratizing AI-powered 3D content creation with GET3D Main
    • 12:20 - 12:40
      HEADLINER: Using RL algorithms (trial-and-error learning) to improve language models like GPT Main
    • 12:40 - 13:00
      HEADLINER How pervasive AI marks the beginning of transformation enablement Main
  • TRACK 1: AI IN ACTION ENTERPRISE STORIES
    • 11:40 - 12:00
      USE CASE Track 1
    • 12:00 - 12:20
      USE CASE Track 1
    • 12:20 - 13:00
      PANEL DISCUSSION: AI and Manufacturing - How can digital transformation lead to new efficiencies and production? Track 1
  • TRACK 2: DEEP DIVE TECH TALKS – In Partnership with Mila
    • 11:40 - 12:00
      DEEP DIVE TECH TALK Track 2
    • 12:00 - 12:20
      DEEP DIVE TECH TALK Track 2
    • 12:20 - 12:40
      DEEP DIVE TECH TALK Track 2
    • 12:40 - 13:00
      DEEP DIVE TECH TALK Track 2
  • TRACK 3: INTELLIGENT HEALTH - In Partnership with SAIIL
    • 11:40 - 12:00
      HEADLINER: Surgical Artificial Intelligence Track 3
    • 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 3
      • 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 Track 3
    • 12:40 - 13:00
      HEADLINER: ACS perspective Track 3

      HEADLINER

      ACS perspective  

  • TRACK 4: INNOVATION INSIGHTS
    • 11:40 - 12:00
      INNOVATION INSIGHT Track 4
    • 12:00 - 12:20
      INNOVATION INSIGHT Track 4
    • 12:20 - 12:40
      INNOVATION INSIGHT Track 4
    • 12:40 - 13:00
      FIRESIDE CHAT: How to position yourself as a tech provider to enterprise when you are a small business Track 4
  • TRACK 5-6: WORKSHOPS, AND ROUNDTABLES
    • 11:40 - 12:40
      WORKSHOP: AWS Track 5
  • 13:00 - 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: Using foundational and predictive analytics and insights to inform product development and innovation Main
    • 14:20 - 14:40
      HEADLINER Main
    • 14:40 - 15:00
      HEADLINER: Evolving from being an automator of retail to becoming an enabler of retail Main
    • 15:00 - 15:20
      HEADLINER: Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence Main
    • 15:20 - 15:40
      HEADLINER Main
    • 15:40 - 16:00
      HEADLINER: Leveraging technology as a strategic business priority Main
  • TRACK 1: AI IN ACTION ENTERPRISE STORIES
    • 14:00 - 14:20
      USE CASE Track 1
    • 14:20 - 14:40
      USE CASE Track 1
    • 14:40 - 15:00
      USE CASE Track 1
    • 15:00 - 15:20
      HEADLINER USE CASE: Achieving Federated Predictive Maintenance Track 1
    • 15:20 - 16:00
      HEADLINE PANEL DISCUSSION: How AI is shaping the future of retail Track 1
  • TRACK 2: DEEP DIVE TECH TALKS - In Partnership with Mila
    • 14:00 - 14:20
      DEEP DIVE TECH TALK Track 2
    • 14:20 - 14:40
      DEEP DIVE TECH TALK Track 2
    • 14:40 - 15:00
      DEEP DIVE TECH TALK Track 2
    • 15:00 - 15:20
      DEEP DIVE TECH TALK Track 2
    • 15:20 - 15:40
      DEEP DIVE TECH TALK Track 2
    • 15:40 - 16:00
      DEEP DIVE TECH TALK: The benefits and burdens of open-source software tools Dr Jason Behrmann, Senior Director of Marketing & Business Development, Zetane Track 2

      Open source has many benefits but you need a unified vision, everyone needs to know where to go now and doesn’t always work. Academic purposes don’t always tie in with industry goals.

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

  • TRACK 3: INTELLIGENT HEALTH In Partnership with SAIIL
    • 14:00 - 14:20
      INNOVATION INSIGHT: Data Governance Track 3
    • 14:20 - 15:00
      PANEL DISCUSSION Track 3
    • 15:00 - 15:20
      INNOVATION INSIGHT: Lessons from the tech industry Track 1
    • 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 3

      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 3
      • Ozanan Meireles, Surgeon at Massachusetts General Hospital; Director MGH Surgical Artificial Intelligence and Innovation Laboratory (SAIIL); Assistant Professor of Surgery, Harvard Medical School

  • TRACK 4: INNOVATION INSIGHTS
    • 14:00 - 14:20
      INNOVATION INSIGHT Track 4
    • 14:20 - 14:40
      INNOVATION INSIGHT Track 2
    • 14:40 - 15:00
      INNOVATION INSIGHT Track 3
    • 15:00 - 16:05
      STARTUPS SHOWCASE Judges:
      Dr Anthony Rhem, Ambassador, AI Time Journal; CEO/Principal Consultant, A.J. Rhem & Associates, Inc       Track 4

      Five 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.

      • Judges:

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

  • TRACK 5-6: WORKSHOPS, AND ROUNDTABLES
    • 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 5

      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)

  • 16:05 - 16:30
    REFRESHMENTS, NETWORKING AND MEET UP
  • 16:30 - 16:50
    HEADLINER: Connecting the dots with the Industrial Metaverse to digitise the world Main Stage
  • 16:50 - 17:20
    CLOSING PANEL DISCUSSION: Looking to the future: Bridging emerging AI technologies and human-centered design practices Main Stage
  • 17:20 - 17:50
    CLOSING HEADLINER: In Conversation with… The Age of AI: And Our Human Future Main Stage
  • 17:50 - 17:50
    CLOSE OF WORLD SUMMIT AI

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