Jennifer McEntire Presentation to FDA
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This powerpoint presentation was made by Jennifer McEntire, Ph.D, with the Institute of Food Technologists to the joint FDA/FSIS meetings held in Washington D.C. on December 9 & 10 regarding traceability for produce.
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The document discusses challenges in the life sciences industry related to drug and device labeling including rising costs, global compliance, and risk of medication errors. It then introduces PRISYM Life Science software as a labeling solution that provides full compliance, security, validation support, and integration capabilities to address these challenges. Key features of PRISYM Life Science include being purpose-built for GMP compliance, secure electronic records, customization options, and use across the product development lifecycle from clinical trials to distribution.
Big Data developments in Agri-Food
New technologies such as the Internet of Things and Cloud Computing are expected to leverage the current
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phenomenon of Big Data.
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applications in Smart Farming goes beyond the farm; it is influencing the entire food supply chain. Big data
are being used to provide predictive insights in farming operations, drive real-time operational decisions, and
redesign business processes for game-changing business models.
It is expected that Big Data will cause major shifts in roles and power relations among different players in
current food supply chain networks. The landscape of stakeholders exhibits an interesting game between
powerful tech companies, venture capitalists and often small startups and new entrants. At the same time
there are several public institutions that publish open data, under the condition that the privacy of persons
must be guaranteed. The future of Smart Farming may unravel in a continuum of two extreme scenarios: 1)
closed, proprietary systems or 2) open, collaborative systems.
The development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. A major challenge is therefore to
cope with governance issues and define suitable business models for data sharing in different supply chain
scenarios.
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