【#GCP #GlobalCaseStudy #iKalaCloud #Showcase】Umbo Computer Vision: Delivering deep learning-powered security video streaming with Google Cloud
Read more:http://sc.piee.pw/QNP3M
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“The help iKala provided over two months gave us a deeper understanding of Google Cloud and greater confidence in using services such as Google Kubernetes Engine,” says Shao-Heng Tai, AI & Infrastructure Engineer, Umbo Computer Vision.
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Read more:http://sc.piee.pw/QNP3M
#googlecloud #machinelearning #ai
umbo computer 在 AppWorks Facebook 的精選貼文
Next week, Ping-Lin from Umbo Computer Vision, a computer vision surveillance system with offices all over the world, will be sharing his experiences scaling up an AI business as a co-founder and CTO.
"The current surge of AI will not be a bubble, preconditioning at the pragmatic applications and realistic expectations. Several success stories provided by Uber, Airbnb, Netflix, LinkedIn, etc., have shown the power of Machine Learning (ML) when applying data correctly, which can result in improving user experience, expanding business, and increasing company revenue in the end. Such power mainly comes from the nature of machine automation and the ability to distill useful knowledge from a large amount of data across different domains, of which we human beings are simply incapable. Applying ML as an automation tool is however counterintuitive to the concept of traditional rule-based automation requiring only straightforward coding and deployment. To make an ML system self-improved so to be fully automatic, a comprehensive and infinite-cycle ML pipeline can take a tremendous amount of effort to set up. In this talk, I will walk through essential challenges in making ML products and practical solutions for the scale-up, from an AI startup's perspective."
Please RSVP here >>> https://www.eventbrite.com/e/the-pains-gains-of-scaling-up-at-ai-business-tickets-89441807855
umbo computer 在 AppWorks Facebook 的最佳貼文
【AI 新創出海的三個思考重點】
AppWorks Accelerator 第九屆 (AW#9) 團隊 Umbo Computer Vision (盾心科技),是近年台灣 AI 新創中,領域赴海外發展非常成功的代表案例。針對 AI 新創如何出海,Umbo CV 創辦人 Shawn 關宇翔分享了幾點思考:
1. 尋找問題:太多 AI 新創團隊想解決複雜的問題,其實都不是好的策略。現在的 AI 只能解決「簡單」、「好解決」的問題。
2. 資料存取:對於 AI 團隊來說,資料是最基本、也是最根本問題,團隊不僅要確保能獲得有效的資料,以利產品設計與執行,也要確認資料存儲的方式,究竟是雲端還是伺服器,這會影響產品後續的開發及執行。
3. 拓展規模:新創尋找買主或是客戶,除了可以參加大型的展覽拓展能見度外,也可以思考是否有更具效益的新方法去開發客戶。
歡迎 AI / IoT 與 Blockchain 的創業者,加入專為你們服務的 AppWorks Accelerator ▶ http://bit.ly/32SGda9
By Antony Lee, Communications Master of AppWorks