In an era where artificial intelligence is transforming industries across the globe, leaders now face the challenge of navigating an increasingly complex landscape while driving innovation, fostering resilience, and ensuring sustainable growth. The ability to effectively integrate AI into strategic visions will determine the success and longevity of organizations in this transformative age.

Join futurist and New York Times bestselling author Dr. Shawn DuBravac for an insightful session on leading in an AI-driven world. Drawing from extensive research and deep expertise of AI’s transformative potential, Dr. DuBravac will illuminate the game-changing ways AI is revolutionizing business operations, decision-making, and strategy—and how leaders must evolve to stay ahead.

This session will provide the three foundational strategies needed to lead successfully in this new era, emphasizing visionary leadership, strategic decision-making, and the ability to anticipate and respond to emerging trends. Attendees will gain actionable insights into how AI can be leveraged to drive innovation, enhance organizational agility, and create a competitive advantage in any industry.

Key Takeaways:

• Practical Examples of AI in Action: Explore real-world case studies from various industries, highlighting successful AI implementations, tangible benefits, and lessons learned.
• Navigating the Future: Gain insights into emerging trends and technologies that are set to shape the future across industries. Learn how to leverage these innovations to stay ahead of the competition and drive business growth.
• AI’s Impact on Leadership: Understand how AI is transforming leadership roles and the new competencies required to lead effectively in an AI-driven world.
• Customizable for Your Industry: This session can be tailored to specific industries, ensuring that the insights and strategies are relevant and actionable for your unique challenges and opportunities.

As a globally recognized AI in Agriculture Keynote Speaker, economist, and New York Times bestselling author, Dr. Shawn DuBravac shows today’s agribusiness executives how to connect emerging ag-tech to yield growth and market resilience. He translates complex concepts in artificial intelligence and agricultural economic theory into clear frameworks for personalizing producer experiences, streamlining supply chain operations, and enhancing sustainability impact.

Dr. DuBravac’s background as an economist gives executives a unique advantage, grounding his AI in Agriculture Keynote Speaker presentations in the global commodity conditions and consumer dietary shifts that affect their bottom line. He helps organizations translate harvest data, regional market demographics, and yield metrics into a powerful strategy for competitive advantage, focusing on the practical decisions leaders must make in the next 12 to 24 months.

His approach frames AI in Agriculture as a core business strategy, not just a machinery upgrade. Audiences learn how AI reshapes everything from predictive analytics for crop health and climate risk mitigation to personalized workforce upskilling. They leave with a clear vocabulary for digital integration, a shortlist of high-impact strategic initiatives, and a framework for driving sustainable growth; the hallmarks of a transformative AI in Agriculture Keynote Speaker.

• Predictive Biosecurity & Climate Intelligence: Using AI to move beyond simple weather forecasting to predictive climate modeling and real-time pest/disease detection. This session explores how to safeguard yields against biological threats and extreme weather volatility before they impact the bottom line.
• Precision at Scale (The "Segment of One"): moving from field-level management to plant-level precision. How to leverage computer vision and IoT data to treat every single crop as an individual "client," optimizing inputs (water, fertilizer) for maximum yield while minimizing waste and environmental impact.
• The Agronomic Co-Pilot (GenAI): How Generative AI is revolutionizing farm advisory. Shawn discusses deploying "Agronomic LLMs" that empower growers and field teams with instant, data-backed answers to complex farming questions, reducing the cognitive load on human experts and bridging the knowledge gap.
• Regenerative Intelligence & Soil ROI: A data-driven approach to sustainability. Using analytics to quantify soil health and carbon sequestration, turning "sustainability" from a cost center into a verifiable revenue stream (carbon credits) and a premium market differentiator.
• Autonomous Orchestration & Labor Resilience: Addressing the global farm labor shortage not just with robots, but with AI systems that orchestrate mixed fleets of human and autonomous machinery. Learn to build a resilient workforce strategy that maintains operational continuity regardless of labor availability.