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Episode 23 — Cloud AI Services — Off-the-Shelf Tools
Manage episode 505486174 series 3689029
Jason Edwards에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jason Edwards 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Not every organization can build AI systems from scratch, and cloud AI services fill this gap by offering ready-made tools. This episode explains how major providers such as Amazon Web Services, Microsoft Azure, and Google Cloud deliver APIs for natural language processing, vision, and speech. Pre-trained models allow companies to adopt AI quickly, while platforms like SageMaker and Vertex AI offer customization for specialized tasks. Benefits include scalability, cost-effectiveness, and rapid prototyping without heavy infrastructure investment.
We also discuss limitations and risks. Vendor lock-in, data privacy concerns, and limited transparency into pre-trained models raise questions for organizations using these tools. Case studies from industries like healthcare, retail, and finance highlight how cloud AI can provide competitive advantages but also demand careful oversight. For learners, understanding cloud AI services is vital because they represent how most companies first adopt AI, blending accessibility with trade-offs in control and responsibility. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.
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