The enterprise voice AI split: Why architecture — not model quality — defines your compliance posture

Enterprise voice AI has fractured into three architectural paths. The choice you make now will determine whether your agents ...
The Business & Financial Times on MSN

Leading the future forward: Building leadership capability around people, strategy and performance at Matrix Gas

By Frank Adu ANIMMatrix Gas Ghana has taken a decisive step toward strengthening its leadership capability as part of its preparation for the 2026 business year. Between 15th and 19th December 2025, ...
Bloomberg L.P.

Redefining risk modeling for a new era of investing

Powered by advanced factor research and daily refreshed data, Bloomberg’s MAC3 Risk Model transforms how investors see and manage risk in a multi-asset world. Bloomberg MAC3 gives investors a unified ...
Scientific Research Publishing

Paatero, P. and Tapper, U. (1994) Positive Matrix Factorization: A Non-Negative Factor Model with Optimal Utilization of Error Estimates of Data Values. Environmetrics, 5, 111-126.

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...
IEEE

Spatial–Temporal Diffusion Model for Matrix Factorization

Abstract: Matrix factorization (MF) is a fundamental problem in machine learning, which is usually used as a feature learning method in various fields. For complex data involving spatiotemporal ...
Frontiers

Assessment of the sources and health risks of heavy metals in the soil-rice system based on positive matrix factorization and Monte Carlo simulation

1 School of Public Health and Management, Chongqing Three Gorges Medical College, Chongqing, China 2 Department of Environment and Food Hygiene, Chongqing Wanzhou District Center for Disease Control ...