Build a web app that monitors live news streams for information that could affect your investments.

Analyze client credit card data using Python and Jupyter Notebooks via IBM Open Data Analytics for z/OS to reveal important customer retention data trends.

In this code pattern, we will build a dummy digital bank composed of a set of microservices that communicate with each other. We'll be using Node.js, Express, MongoDB, and the IBM Cloud Kubernetes Service.

Build a web app for a merchant fashion store site that's integrated with direct payments through banks using financial services.

Give investors access to data that helps them support causes they believe in.

Explore the Client Insight for Wealth Management service through a Jupyter Notebook and create a web application with the service.

Use machine learning to perform secure, real-time risk assessment and management to help financial institutions more accurately determine credit worthiness.

Create a banking chatbot with conversation, natural language understanding, anger detection, and answer discovery from FAQ documents.

Deploy a React UI for submitting blockchain transactions and viewing the state of a blockchain ledger as updated.

Make the markets more predictable by building a portfolio stress-testing app using a set of financial web services.

Leverage full revaluation cashflow models in a single line of code to more readily integrate sophisticated analysis into end-user applications.

Retrieve portfolios from financial institutions using the Quovo Aggregation API and load the data into the IBM Cloud Investment Portfolio service.

Akka Cluster is a fault-tolerant peer-to-peer cluster membership service. Kubernetes provides multiple features that are a great fit for running applications built with Akka Cluster. Learn how to configure your Akka Cluster application to run on top of Kubernetes, taking advantage of its many standard features.

Build a stress-testing app for investment portfolios that includes integration with natural language generation to produce detailed portfolio analysis.

Extend your blockchain application with event handling, so that transactions on the shared ledger can initiate actions automatically. This pattern shows you how to programmatically generate and receive event notifications from the blockchain network.

Create charts and graphs for Sentiment, Emotional Tone, and Keywords for Twitter handles and hashtags.

Construct and rebalance investment portfolios using the Portfolio Optimization service and data from the Investment Portfolio service.

In this code pattern, we capture the regulatory compliance logic for the FDA Foreign Supplier Verification Program in a smart contract deployed on a business network.

Enable your mobile check deposit processing system to scale automatically in response to payday demand.

Use time series from IoT sensor data, IBM Watson Studio, and the R statistical computing project to analyze the data and detect change points.

Utilize retail banking APIs to drive fast, agile innovation with mainframe hybrid cloud architecture.

Discover how to unlock your enterprise's valuable systems-of-record assets and capitalize on the new API ecosystem by building RESTful APIs that can access business-critical data.

Create a Watson Conversation-based financial chatbot that enables you to query your investments, analyze securities, and use multiple interfaces.