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Build training and prediction apps with Java, Watson IoT Platform, Node-RED, and Watson Visual Recognition service.
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Build a stress-testing app for investment portfolios that includes integration with natural language generation to produce detailed portfolio analysis.
Leverage full revaluation cashflow models in a single line of code to more readily integrate sophisticated analysis into end-user applications.
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.
Construct and rebalance investment portfolios using the Portfolio Optimization service and data from the Investment Portfolio service.
Simulate an IoT device, a motor that you can manage via Node-RED, the Watson IoT platform and the typical PaaS services. Monitor streaming device data with the IoT dashboard and persist it using a Cloudant database.
Build and Expose REST APIs with LoopBack in 5 minutes.
Use the Hyperledger Composer framework to create and execute smart contracts within a blockchain application built on Hyperledger Fabric.
Create a basic conveyor belt with an IoT device that sends monitoring data to Watson IoT Platform on IBM Cloud.
Retrieve portfolios from financial institutions using the Quovo Aggregation API and load the data into the IBM Cloud Investment Portfolio service.
Use the IBM Watson Node.js SDK to create a web UI app that enriches multimedia files using speech-to-text conversion, tone analysis, natural language understanding, and visual recognition processing.
Create a news app in Node.js to deliver custom alerts via email for specific products or brands mentioned in the news. The app can also alert user on brand sentiment, related products as well as stock price changes.
Create retail applications that leverage data from enterprise IT infrastructure using APIs in a hybrid cloud environment -- no mainframe knowledge required.
Build an app that recommends local restaurants and which can be adapted to provide other recommendations, reservations, event planning, and tooling using Swift, Watson services, and the Kitura framework.
Learn how to pull data points -- concepts, entities, categories, keywords, sentiment, emotion, etc. -- from Hacker News articles using natural-language service calls from a Swift-based application.
Discover how simple it is to build a home automation hub using natural-language services and OpenWhisk serverless technology.
Make the markets more predictable by building a portfolio stress-testing app using a set of financial web services.
Create a banking chatbot with conversation, natural language understanding, anger detection, and answer discovery from FAQ documents.
Build an enterprise Swift application that uses multiple services and libraries available on the IBM Cloud platform.
Learn how to implement serverless technology to enhance enterprise applications by using OpenWhisk to deliver a smart supply chain application to customers.
Connect your appliance to a network and enable a serverless, event-driven architecture to support cloud analytics and diagnostic services and support.
Learn app development within a Hyperledger Fabric network by creating an asset-transfer app to transfer marbles between multiple owners.
Going hybrid has never been easier. You can maintain your private cloud while also tapping into a public cloud whenever it makes sense.
Create a Watson Conversation-based financial chatbot that enables you to query your investments, analyze securities, and use multiple interfaces.
Build a configurable, retail-ready chatbot.
Smart picture sharing on the go.
Implement continuous integration / continuous delivery with Jenkins on IBM Cloud Private
Create and deploy of a .Net application as a microservice
Cloud Foundry is an open source Platform as a Service that simplifies the developer experience in deploying applications.
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