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Is Edge Computing the Next Big Thing?
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コンテンツは Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
The Evolution of Computing - From Mainframes to Mobile with Edge Computing
In this episode of the Data Hurdles podcast, hosts Chris Detzel and Michael Burke have an in-depth discussion on the emerging technology of edge computing. They start by explaining what exactly edge computing is - processing data closer to the source, rather than relying solely on the cloud.
Michael provides examples of edge computing use cases, like manufacturing, agriculture, and defense. Key benefits discussed include reduced costs, faster speeds, ability to operate offline, and improved data privacy and security.
The hosts talk about how edge computing unlocks real-time insights for businesses and gives them a competitive edge. Michael highlights companies utilizing edge computing today.
They then dive into how large language models like those from OpenAI could intersect with edge computing. This leads to implications around infrastructure needs, interactivity, and legal/policy issues as decentralized AI spreads.
Overall, they predict edge computing will become the standard in the future as models shrink in size and efficiency improves. It represents the next evolution of computing, from mainframes to PCs to mobile, now putting more computing power into local devices.
Listen to the full discussion and analysis on the future of edge computing technology.
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