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Is Edge Computing the Next Big Thing?
Manage episode 377201969 series 3451197
Вміст надано Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.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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