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Join a high-energy, rapid-fire pitching session of the industry's most exciting entrepreneurs. Explore breakthrough startups harnessing AI, smart data platforms, and predictive systems that accelerate discovery to revolutionize food systems and sustainable nutrition.
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Join a high-energy, rapid-fire pitching session of the industry's most exciting entrepreneurs. Discover pioneers creating nutrient-packed, sustainable foods and bioactive ingredients that boost human and pet health, featuring next-gen ingredients and functional wellness solutions.
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Join growth stage innovators as they deliver rapid-fire case studies for tangible insights into scaling solutions. These companies showcase how AI, predictive modelling, and intelligent tools reshape the development of next-gen ingredients and nutritious consumer products.
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Two leading investors step into the spotlight for a dynamic quick-fire Q&A session driven entirely by the audience. Using live polling and Slido, attendees will submit their most pressing questions about funding trends, valuation strategies, and what makes a food tech startup irresistible to investors. Expect candid insights, rapid responses, and actionable advice in a high-energy format designed to demystify the investor mindset
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Join a high-energy, rapid-fire pitching session of the industry's most exciting entrepreneurs. Dive into innovative biotech companies engineering synthetic biology, precision fermentation, and green bioprocesses to craft novel ingredients future-proofing the food industry.
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Join growth stage innovators as they deliver rapid-fire case studies for tangible insights into scaling solutions. Dive into innovative biotech companies engineering synthetic biology, precision fermentation, and green bioprocesses to craft novel ingredients future-proofing the food industry.
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The Scale Problem: Change Management Lessons from Taking AI from Lab to Enterprise
Most AI projects die in the pilot phase, companies can't scale adoption across skeptical teams. A giant partnered with Turing Labs to solve both problems: building AI that actually works at scale and managing the organizational change required to deploy it across their R&D organization. This presentation reveals how they moved from one product line to enterprise-wide deployment while turning scientist skeptics into champions.
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