1st MENA InsurTech Hackathon

 

A video worths a thousand words.

 

Google Cloud Platform (GCP), offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Drive, and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning. 

 

Participants will get GCP credits required for the hackathon. 

 

Everything to know about the Cloud Platform is below:

• Get Started with Google Cloud Platform
  
• Google Cloud developer cheat sheet
  
• Cloud Architecture Center
  
• Google Cloud Training:
• Data Engineering
  
• Machine Learning and AI
  
• Google Cloud Samples
  

 

 

 

 

Intro

Prifina provides a new type of data architecture, where individuals own and hold their data (“user-held” data model). This enables new use cases and personal applications to be designed and built.

The user-held data model addresses typical challenges with utilizing data, such as;

•  regulations concerning user data sharing
•  commercial data sharing terms and conditions 
•  users hesitancy or consent in sharing sensitive data
•  application usage privacy concerns 
•  technically available / restricted APIs
•  availability of practical mock-up data for development purposes on new types of use cases

In addition to the architecture, Prifina provides developer resources and dynamic mock-up data to support the development of the qualified use cases.

 

Personal Data Engine

The Prifina personal data engine allows you to build apps on user held data. The end user connects their data sources to their Prifina account, the Prifina personal data engine normalizes and enriches that data, and exposes the normalized data models and dynamic mock-up data (not users actual data) to third party app developers to build new solutions and applications on top of. Developed applications run privately on ‘users-side’ on their real data, where apps can then interact with ‘service-side’ as needed for the use case in question. Apps can be built to react to the users data, but also learn and develop based on the users continuous data feed and behavior.

You can find;

• technical documentation on the Prifina platform here: http://docs.prifina.com/
• a starter repo for an application here: https://github.com/prifina/prifina-app-starter

 

Data resources

Health, wellness and mobility data from popular sources with dynamic data generators to mockup and simulate utilizing realistic dummy data. 

2- Data sources, available Prifina your data

Peruse data sources available to the users, and get access to real data (your data) to see data contents and models that can be used

Reference community applications and examples