How to Build a Cloud Native Image Recognition Solution
CNCF [Cloud Native Computing Foundation] via YouTube
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore how to build a cloud-native image recognition solution in this 36-minute conference talk from KubeCon + CloudNativeCon Europe 2021. Learn about leveraging Fn Project, AutoML Natural Language Processing, and Kubernetes to enhance Optical Character Recognition (OCR) technology. Discover the process of creating a cutting-edge application that uses machine learning to recognize and extract information from documents without relying on pre-defined markers. Gain insights into creating and scaling serverless functions, utilizing Kubernetes, and implementing AutoML for document classification and field extraction. Follow along as the speakers demonstrate a real-world implementation tested at a Mexican bank, and understand how to store extracted information in a NoSQL database. Dive into topics such as Oracle Cloud Services, API Management, Oracle Functions, and Oracle Container Engine, while exploring the architecture and components of this innovative solution.
Syllabus
Introduction
The Use Case
Oracle Cloud Services
API Management
Oracle Functions
Oracle Container Engine
Connecting the Dots
The 7 Steps
Components from Oracle
Architecture
Demo
API Result
Conclusion
Taught by
CNCF [Cloud Native Computing Foundation]