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Ver patrones de código adicionales (en inglés)
Build an app that loads an image to a database, analyzes it, and based on the results, triggers an alert indicating a need for action.
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Create a mobile app that takes a picture of vehicle damage and sends it to an insurance company to identify and classify the problem.
This code pattern demonstrates how to use PowerAI Vision Object Detection to detect and label objects within an image.
Get the code View the demo Construya una aplicación de seguros con blockchain Utilice Hyperledger Fabric para construir una aplicación web de seguros con blockchain – – – Last updated – Gracias a sus contratos inteligentes, libro contable distribuido y capacidades de no repudio, blockchain está revolucionando la forma en la que hacen […]
Smart picture sharing on the go.
You can use this code pattern to to track environmental conditions for a food safety supply chain, refrigerated medical supplies, garden plant shipments, or any perishable shipment that are sensitive to the temperature, humidity, vibration, or time.
Use IBM Watson Studio to build a predictive model with Watson Machine Learning.
Develop a modern, cloud-based air traffic control application.
This pattern walks you through how to educate others about food insecurity with IBM Watson Studio, pandas, PixieDust, and Watson Analytics.
Deploy and use a web-based health app on your smartphone using Watson services on IBM Cloud and IBM Watson Studio.
A simple web app shows how Watson’s Natural Language Classifier (NLC) can classify ICD-10 code.
Create a multilingual conference room using Watson Text to Speech. OpenWhisk actions and a MQTT messaging broker are also used in this scenario.
Create charts and graphs for Sentiment, Emotional Tone, and Keywords for Twitter handles and hashtags.
Get a head start on developing connected devices in the home. Using Node-RED and Watson IoT APIs, you’ll learn how to build a cognitive IoT app that detects irregularities in the voltage of your connected household devices.
Automate inspection of industrial equipment by using images and the Watson Visual Recognition service to find and fix defects.
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