Applied AI Research Roundtable: Transforming Industries with AI
Hosted by: Visa at World Headquarters, San Francisco Location: 800 Metro Center Blvd, Foster City, CA 94404 Date/Time: December 12th, 2024 | 1:00 PM – 7:00 PM Format: Roundtable with Applied AI Research and Industry Collaboration
Konrad Konarski
Sam Hamilton
AJ Joshi
Chairperson
SVP, Data and AI
Vice President
AI Applied Consortium
Visa
Visa
Prasanna Vijayanathan
William Aiken
Chris Isayan
Lead Software Engineer
AI Researcher, CTO
Former VP
Netflix
University of Ottawa
Bank of America
Paul Younan
Michael Braun
Patty Hansen
Portfolio Manager
Lead , Smart City Advisory
Director of Alliances
BMO Nesbitt Burns
AI Applied Consortium
City of Brookhaven
Nezih Altay
Salem Hadim
Elias Brown
Professor
Vice-President, Automation
Data Manager
DePaul University
Prolifics Inc.
Vallourec S.A.
Event Overview:
This roundtable event brings together leaders from industry and academia to discuss the transformative power of AI. The agenda includes a main session and two industry roundtables, each focused on a critical aspect of applied AI.
Main Session – Agenda
1:00 PM – 1:15 PM: Opening Remarks – Konrad Konarski, Chairperson, AI Applied Consortium
Konrad will set the tone by highlighting AI’s transformative potential across sectors, focusing on financial services.
1:15 PM – 1:45 PM: Keynote: AI Strategy at Visa – Sam Hamilton, SVP, Data and AI, Visa
Sam Hamilton will share insights on Visa’s AI strategy, showcasing the company’s secure, high-quality data assets and scalable platforms in payments, fraud detection, and customer engagement.
1:45 PM – 2:15 PM: The Potential of AI in Banking – AJ Joshi, Vice President, Visa
AJ Joshi will explore how Visa leverages AI for payment optimization, fraud detection, and customer personalization, providing insights for other financial services sectors.
2:15 PM – 3:00 PM: AI-Powered Personalization – Prasanna Vijayanathan, Lead Software Engineer, Netflix
Prasanna will present Netflix’s approach to AI-driven personalization, offering insights on similar applications in financial services.
3:00 PM – 3:15 PM: Coffee Break / Networking
3:15 PM – 3:45 PM: Next-Generation AI for Cybersecurity – William Aiken, AI Researcher, University of Ottawa
William will discuss AI-driven advancements in cybersecurity, including proactive threat detection and dynamic responses for secure financial systems.
3:45 PM – 4:15 PM: AI in Financial Systems – Chris Isayan, Former VP, Bank of America
Chris will share how AI streamlined Bank of America’s operations, enhancing risk management, fraud prevention, and automation.
4:15 PM – 4:45 PM: AI-Driven Investment Strategies – Paul Younan, Portfolio Manager, BMO Nesbitt Burns
Paul will discuss AI’s role in investment management, focusing on enhanced market analysis, asset allocation, and risk management.
4:45 PM – 5:00 PM: Closing Remarks – Konrad Konarski
A reflection on AI’s impact on finance, outlining strategies for resource optimization and transaction management.
1:30 PM – 2:45 PM: Smart Cities and Video Analytics Programs
Moderators: Michael Braun, Patty Hansen Overview: The AI Applied Consortium’s National AI Video Analytics Program explores AI-driven solutions for urban management, sustainability, and public safety.
Sustainable Urban Infrastructure: AI optimizes energy use, reduces emissions, and manages waste for eco-friendly cities.
Environmental Monitoring: Tracking air quality, water conservation, and pollution levels to protect public health.
Public Safety: Real-time monitoring for traffic, crowd management, and incident response.
Resource Efficiency: Predictive models for efficient resource allocation and operational sustainability.
Ethics & Compliance: Regulatory standards and ethical governance of AI in urban environments.
Outcome Goals:
Identify actionable strategies to improve urban living through AI-driven innovations.
Explore AI frameworks for sustainable urban development and compliance with global environmental goals.
Understand how AI enhances safety and resource management in smart city ecosystems.
Discuss best practices for integrating ethical AI in public systems while maintaining trust and transparency.
1:30 PM – 2:45 PM: AI for Humanitarian Impact and Social Good
Moderator: Professor Nezih Altay Overview: This session delves into how AI technologies are reshaping humanitarian efforts and promoting social good. The discussion highlights AI’s potential to drive equity, resilience, and innovation in addressing global challenges.
Disaster Response: Leveraging AI for early detection, resource allocation, and logistical optimization during emergencies. Real-world examples of crisis management through predictive analytics will be explored.
Healthcare Access: Deploying AI to bridge healthcare gaps in underserved communities through disease prediction, remote diagnostics, and telemedicine solutions tailored for vulnerable populations.
Environmental Action: Advanced monitoring systems powered by AI to tackle deforestation, pollution, and climate change, enabling proactive interventions for sustainability.
Social Equity: Using AI tools to create opportunities for education, fair employment practices, and inclusive policy-making to promote social justice and reduce inequality.
Ethics in AI: Ensuring transparency, accountability, and fairness in AI applications to build public trust and avoid unintended consequences in humanitarian scenarios.
Outcome Goals:
Learn how AI technologies can enhance disaster readiness and resource management in crises.
Explore AI solutions that enable equitable access to healthcare and education.
Gain insights into using AI to foster sustainability and environmental resilience.
Discuss ethical considerations to ensure fairness and trust in AI humanitarian applications.
Moderator: Elias Brown, Vallourec Overview: This workshop explores cutting-edge AI-driven solutions transforming the manufacturing sector. Participants will uncover strategies for implementing AI to drive efficiency, quality, and sustainability in production environments.
Predictive Maintenance: Reducing downtime and operational disruptions through AI-enabled predictive analytics that identify equipment failures before they occur.
Quality Assurance: Revolutionizing inspections with computer vision-powered systems that ensure precision and reliability, eliminating costly defects.
Supply Chain Optimization: Enhancing logistics and inventory management through AI to streamline processes and improve material flow across the value chain.
Workforce Empowerment: Integrating AI tools to augment human capabilities, fostering a collaborative and safer work environment.
Sustainability in Manufacturing: AI-driven energy optimization and waste reduction techniques to meet environmental compliance and reduce costs.
Outcome Goals:
Understand how AI can revolutionize operational efficiency and reduce manufacturing costs.
Explore AI-driven solutions for predictive maintenance and supply chain resilience.
Discover innovative tools for improving safety and empowering the workforce.
Learn how AI enables manufacturers to achieve sustainability goals while driving profitability.