Data-driven optimization involves testing, evaluating, and implementing the data analysis and modeling results to improve your P2P transaction processing performance, efficiency, and effectiveness.

Learn how P2P lending platforms can cope with the challenges of cybersecurity and data privacy, and what strategies they can use to protect their users and data. Agree & Join LinkedIn ...

In this opinion article, Rikken discusses how the insurance industry could persue a true peer-to-peer (p2p), crowdfunding model by leveraging blockchain technology. STORY CONTINUES BELOW No te ...

We introduce an abstract model for analyzing service enabler efficiency indicating operational costs for system external and internal parameters. Model is applied to benchmark distributed data ...

With the continuous development of enterprise informatization, there are a large number of heterogeneous data sources. So the requirement for the data exchange and integration in the different ...

This repository is an official implementation of P2P (NeurIPS 2022 Spotlight). P2P is a framework to leverage pre-trained image models for 3D analysis. We transform point clouds into colorful images ...

The goal was to create a model that accurately predicts loan defaults, benefiting lenders and P2P lending platforms. The scope of this project will be focusing on the prediction of loan default in the ...

In what appears to be a warning shot, the Federal Trade Commission (FTC) has sent out letters to about 100 companies, informing them about sensitive and confidential data from their networks being ...

4. The P2P Platform is Not Without Exposure to Fraud Risk. Impacted Business Models: Notary, Client Segregated Account Model, Guaranteed Return Model. Crowdfunding platforms are subject to the same ...