PaPM Insights | Sumble

What is PaPM?

PaPM likely refers to Privacy-Preserving Machine Learning. This encompasses techniques that enable machine learning models to be trained and used on sensitive data without revealing the underlying data itself. Common methods include Federated Learning, Differential Privacy, Homomorphic Encryption, and Secure Multi-Party Computation. PaPM is used in healthcare, finance, and other domains where data privacy is paramount.

Find organizations using PaPM on Sumble →

What other technologies are related to PaPM?

PaPM Competitor Technologies

FPSL

Financial Products Subledger (FPSL) is a component of SAP S/4HANA for financial services and can perform similar allocation and profitability analysis as PaPM, making them competitors in some use cases.

mentioned alongside PaPM in 16% (61) of relevant job posts

BPC

SAP Business Planning and Consolidation (BPC) is a planning and consolidation tool that, while having different use cases, can overlap with PaPM in terms of allocation and profitability analysis.

mentioned alongside PaPM in 1% (154) of relevant job posts

PaPM Complementary Technologies

Group Reporting

SAP Group Reporting handles group consolidation, which is a separate but related process to the allocation and profitability analysis handled by PaPM. The results of PaPM can feed into Group Reporting.

mentioned alongside PaPM in 8% (95) of relevant job posts

CFIN

Central Finance (CFIN) provides a centralized finance platform, which can be a source of data for PaPM for performing allocations and profitability analysis across the enterprise.

mentioned alongside PaPM in 5% (59) of relevant job posts

SAC

SAP Analytics Cloud (SAC) provides visualization and planning capabilities that can be used to analyze and extend the results produced by PaPM.

mentioned alongside PaPM in 2% (163) of relevant job posts