FusionFabric.cloud Newsletter: May 2020
A year since launch
In May 2019 we launched FusionFabric.cloud at our FusionONE developer conference with c60 open APIs available. A year on we have expanded to over 100 open APIs; introduced new capabilities like SPIs and datasets; and have seen partners launch products into the marketplace — FusionStore.
New dataset
Datasets is a functionality that enables you to get a bigger quantity of data to use for machine learning models and analytics; using Azure Data Share. A new dataset is available from our Fusion Opics product exposing trades and position data. Now a 3rd party can read trades and position data to provide financial risk calculations and reporting services such as Value-at-Risk, FRTB and Expected Shortfall.
Get detailed information regarding trades, including historical trends, parties involved, deal type, terms, and transaction price and the associated market data.
Getting started with datasets
To help you get started Finastra’s innovation team has created a sample project to show you how to use datasets and data science to predict if a customer loan will be accepted or denied; using the Customer Loans and Demographics datasets.
To make it even easier to test out, we’ve made a GitHub repository available and a guided video tutorial of how to use Python to examine outliers, create features, create a neural network model and more!
Build a Bank with Finastra
Jean-Baptiste Gaudemet from Finastra shows you, step-by-step, how to build a bank. Covering the different activities of the bank, from deposits and loans to trade finance and capital markets. Watch on demand here.
And if you have questions or need help, contact our dedicated team on the Community Q&A page.
Many thanks,
FusionFabric.cloud Team
ABOUT FUSIONFABRIC.CLOUD
FusionFabric.cloud is Finastra’s open and collaborative developer platform and marketplace for financial apps. Access banking systems and data across: retail banking, payments, lending, corporate banking, treasury and capital markets via APIs.
Find out more here 🚀
