Food production and preparation have always been labor and capital intensive. Today, these traditional industries are rapidly moving beyond technology and tools to support humans and into the realm of compete automation. With the internet of things, low-cost sensors, cloud-computing ubiquity, and big data analysis, farmers and chefs are being replaced with connected, big data robots—not just in the field but also in the kitchens of our homes and restaurants.
Internet-connected systems can be built with just commodity sensors and open source software that gather millions of sensor readings, transport those readings into the cloud, and process that information in real time and with large-scale, batch machine-learning engines. From farming to food shipment and logistics to food prep and cooking, we can:
Tim Gasper explores the tech stack, data science techniques, and use cases driving this revolution. You’ll learn about some very cool next-generation use cases in food production and food prep, the big data and IoT architectures that support those use cases, and how to implement the software and data science techniques that drives these innovations.
Tim Gasper is Director of Product at data.world, the cloud data catalog company and largest open data community in the world. With over a decade of experience in product management, Tim has spent his entire career helping companies gain value from their data. He previously ran data product management for Janrain (now Akamai Identity Cloud), led product and marketing for Bitfusion, an artificial intelligence (AI) software company, led product for Rackspace’s Hadoop and NoSQL as a Service, and managed global offerings for CSC (now known as DXC) Big Data & Analytics business unit. Prior to that he was VP of Product at Infochimps, an enterprise big data cloud services company, acquired by CSC in 2013. Tim is a Case Western Reserve University alumnus, and writes and speaks on entrepreneurship, big data, data governance, and AI.
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