The latest whitepaper on AI & Agri-Food reveals groundbreaking insights into the adoption and impact of artificial intelligence within the global agri-food sector. As AI transcends its initial hype, it is now firmly embedded in value chains, promising significant advancements in food safety and product quality. Key Findings: Widespread Adoption: AI is no longer just a buzzword. 70% of agri-food businesses have already implemented or are planning to implement AI technologies, with 89% having dedicated budgets for AI initiatives. Leading Applications: Food safety and product quality are at the forefront of AI applications. Businesses are leveraging AI to enhance quality control, automate processes, and carry out image recognition, ensuring safer and higher-quality food products. Demonstrable Benefits: AI is delivering tangible benefits, including improved product quality, increased production efficiency, and reduced operational costs. These advancements are crucial for maintaining high standards in food safety. Investment and Support: Confidence in AI is growing, with 96% of businesses anticipating further investment in AI technologies within the next five years. However, businesses are seeking additional funding streams, financial incentives, and training to unlock AI's full potential. Navigating Challenges: Despite the positive outlook, 28% of businesses remain skeptical about AI's impact, highlighting the need for careful mapping of ROI and addressing digital readiness. Regional disparities also exist, with U.S. businesses showing more hesitancy compared to their U.K. counterparts. Future Outlook: The future of AI in agri-food looks promising, with businesses expected to invest heavily in predictive analytics and digital twins for supply chains. These technologies will optimize supply chains, improve resilience, and enhance traceability. Quotes from Industry Experts: Stephen McCabe, Interim Executive Director at Momentum One Zero: "AI will help optimize and make supply chains more resilient and traceable. I expect to see a big increase in investment in predictive analytics to predict market trends." Declan Ferguson, Research & Development, Sustainability and Technical Director at Finnebrogue: "The agri-food industry is sometimes slow to adopt and integrate new technologies. Some of that is due to the cost of investment given the tight margins in the sector, but it’s also the fact that agri-food businesses are busy doing their day job, coping with lots of headwinds and don’t get a chance to put their heads up and look around to see what else is out there." About the Whitepaper: Get your copy: https://bit.ly/4kjdCmL The "AI & Agri-Food Whitepaper" is based on exclusive research conducted by Foods Connected with Censuswide, surveying over 500 senior leaders across food manufacturing, processing, distribution, retail, and foodservice in the U.K. and U.S. The report provides a comprehensive overview of AI's current role, challenges, and future potential within the agri-food sector.

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