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Agriculture infrastructure allows plants such as corn, soy, and wheat to move from large scale farms to consumers all around the world. The relevant players in the agricultural infrastructure includes growers, shippers, and planners. These individuals need new technology to interact more efficiently.  Growers need to be able to connect more smoothly with buyers. Farmers

Network discovery allows enterprises to identify what devices are on their network. These devices can include smartphones, servers, desktop computers, and tablets. Being able to index the devices on a network is crucial to figuring out the security profile of that network. HD Moore is a founder of Rumble Networks, a company focused on network

Large technology companies are a new type of industry. Their power and reach is resistant to a comparison of previous generations, such as big oil. Alex Kantrowitz is a journalist who has covered big technology for much of his career, and he currently runs Big Technology, a newsletter and podcast about the biggest technology companies

Cost management is growing in importance for companies that want to manage their significant cloud bill. Kubernetes plays an increasing role in modern infrastructure, so managing cost of Kubernetes clusters becomes important as well. Kubecost is a company focused on giving visibility into Kubernetes resources and reducing spend. Webb Brown is a founder of Kubecost

TensorFlow Lite is an open source deep learning framework for on-device inference. TensorFlow Lite was designed to improve the viability of machine learning applications on phones, sensors, and other IoT devices. Pete Warden works on TensorFlow Lite at Google and joins the show to talk about the world of machine learning applications and the necessary

Data lakes and data warehouses store high volumes of multidimensional data. Data sources for these pieces of infrastructure can become unreliable for a variety of reasons. When data sources break, it can cause downstream problems. One company working to solve the problem of data reliability is Monte Carlo Data. Barr Moses and Lior Gavish are