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Dive into a curated set of case studies and real-world use cases that reveal how AI and GenAI experiments are reshaping industries - exploring not just what’s possible today, but the emerging impacts that signal where enterprise innovation is headed next. From robotics, autonomy, agronomy, and precision agriculture to biotechnology, we’ll uncover the learnings and breakthroughs shaping the next wave of agricultural transformation.
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Join expert-led roundtable discussions designed to spark collaboration and insight. We’ll explore which use cases are most likely to deliver measurable ROI, how investment strategies, innovation pipelines, and business models could evolve as AI and GenAI solutions scale, and what technical, cultural, and regulatory barriers must be overcome for maximum impact. Delegates will work in small groups to tackle the most pressing questions facing corporates, start-ups, investors, and governments - sharing their findings with the room at the end.
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As AI and autonomous systems advance, the agriculture industry faces a critical question: What does progress look like in the agentic age? This inaugural benchmarking workshop will lay the groundwork for an industry-wide roadmap, helping define adoption milestones, success metrics, and evaluation frameworks.
Objectives
Through collaborative discussion and expert moderation, participants will map agriculture’s AI and GenAI adoption trajectory. Taking inspiration from other industries such as semiconductors who defined an industry-wide roadmap with multi-year targets, measurable specs, and annual checkpoints in 1992 to speed up innovation cycles, bring down costs, and improve global competitiveness - we’ll explore what an agri-tech industry consortium could achieve and mock up ideas for benchmarking priorities. The goal is to create a shared vision for progress and identify the enablers that will accelerate transformation.Format
- Three consecutive breakout segments, each focused on a key question (90min).
- Discussion groups present their takeaways after each segment (30min).
- A moderated discussion drawing conclusions and shaping next steps (30min).
Output
The workshop will deliver a summary report capturing insights from group discussions. This report will include a snapshot of the current state of AI adoption in agriculture and proposed milestones for progress. It will suggest next steps and recommendations for establishing an industry-wide roadmap. -
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