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Coffee and Technology: How AI and IoT are Shaping the Coffee Industry

Lecture Description

This lecture will explore the transformative role of Artificial Intelligence (AI) and the Internet of Things (IoT) in the coffee industry. From farm-level production to processing and beyond, technology is rapidly enhancing quality control, operational efficiency, and sustainability. The session will highlight real-world applications and future possibilities for AI and IoT to reshape the coffee supply chain.

The objective is to provide a comprehensive framework, balancing the technical aspects of AI and IoT with practical, real-world applications and considerations for sustainability and efficiency in the specialty coffee industry.

Date: Saturday April 26, 2025
Time:
11:30am - 12:30pm
Location:
Room 351DEF
Category:
Business

Access: This lecture is free to attend with a Specialty Coffee Expo entry badge. Register to attend Specialty Coffee Expo here.
Please note that lecture sessions are open on a first-come, first-served basis. Early arrival is highly recommended to secure your seat.


Speakers

Mery Santos (she/her)
Director of Diversity, Innovation & Sustainability, Global Leadership Alliance (GLA)

Mery Santos is a dedicated leader who combines traditional values with new technologies to guide organizations through change. Inspired by her studies on Exponential Organizations (ExO), she uses innovative principles to empower transformation. Her focus on Artificial Intelligence and the Internet of Things helps businesses improve efficiency and build resilience. She champions sustainable practices that drive growth and a responsible future while fostering meaningful dialogue among industry leaders. Humble and committed, Mery passionately supports empowering women in coffee providing practical insights and forward-thinking strategies.

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April 26

From the Ground Up: Experiences from a Community-Led Development Incubator in Coffee-Producing Regions

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April 26

Deforestation-Free Specialty Coffee: Ethiopia’s Semi-Forest and Community-Driven Model