We are excited to start the new year with some great news: our Managing Director, István Görgei, has been selected to speak at the AI for Developing Countries Forum, organized by the United Nations!
More than 800 exceptional applicants from around the world were carefully evaluated to select the finalists for this prestigious event.
What does AIFOD stand for?
Amid rapid technological evolution, a group of visionaries saw a gap between the potential of AI and its global accessibility, especially in the developing world. Inspired by the impact of AI in affluent regions, they founded the AI for Developing Countries Forum to bridge this gap through innovation and collaboration.
Event Details
- Theme: Empowering the South 2030: Forging an AI Future of Inclusive Digital Sovereignty
- When? January 27-28, 2025
- Where? UN Headquarters Geneva
- Panel Discussion date & time: January 28, 9:30 AM
Our Topic
AI for Sovereign Growth: Aligning Strategic Investments with Talent Development Goals
- Introduction: The critical link between local economic investments and AI-driven talent development.
- AI as a Catalyst for Strategic Growth: Using AI to identify and address skill gaps that align with emerging industries in sovereign economies.
- Tailoring Talent Development for Local Priorities: Designing education and workforce programs that support regional economic investments and long-term goals.
- Reducing Gaps for Inclusive Growth: Leveraging AI to create equitable education and training solutions integrating rural and urban workforce potential.
- Call to Action: Steps to integrate strategic economic goals with AI-powered talent development for sustainable and inclusive progress.
AIFOD Speaker Introduction
Drawing from 15 years of experience and successful implementations showcased at the PMI Switzerland Conference, István Görgei offers concrete examples of how autonomous algorithms can evolve from basic automation to sophisticated strategic planning tools that make complex decisions about project structure and skill requirements with minimal human oversight. His implementation framework shows how autonomous algorithms can effectively bridge the gap between strategic goals and practical execution.
