SSID/pass = g|Events / machinelearning
Lennart alf@us.ibm.com
6:00 Sign-in, mingle, food, welcome. Intro of Tom Eck, IBM CTO Industry Platforms
6:20: Tom Eck: Introduction to the finance services in the IBM Cloud:
the IBM experimental services and the Business Partner services, as well as some use cases.
Alvin Cho Architect for Watson Fintech Hub.
6:40: Lennart: Introduction of the lab (Developer Journey).
6:45: Coding starts.
8:00: Coding ends.Q/A with Tom and the IBM team.
Algorithmics Q/A
8:30: Event ends
- Demo: Investment Insights for Asset Managers
- Announcing the Predictive Market Scenarios experimental service
- Demo: Predictive Market Stress Testing
- Risk Management. Make risk-aware decisions and meet regulatory compliance demands through smarter risk management.
- Accern-API
- Bondevalue API
- Payeezy
- Plaid
- Quovo
- RiskSpan RS Edge Loan Analytics
- Can be used with first lab: Xignite Market Data APIs
- WealthEngine API
- Historical Instrument Analytics
- Instrument Analytics
- Used in first lab: Investment Portfolio
- Portfolio Optimization
- Predictive Market Scenarios
- Simulated Historical Instrumental Analytics
- Used in first lab: Simulated Instrumental Analytics
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First lab documentation: Create a service-based chatbot to manage a personal wealth portfolio
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Second Lab: Build a web app that performs a stress test on an investment portfolio using financial services
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Utilize retail banking APIs to drive fast, agile innovation with mainframe hybrid cloud architecture
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Accurately assess financial risk levels using machine learning on a mainframe
- Aditional Developer Journeys
- IBM Fintech
- Upcoming events