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Dun and Bradstreet Risk Analytics - Supplier Intelligence
Use an AI-powered solution for supply and compliance teams who want to mitigate costly supplier risks intelligently.
Risk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
The Modular System for Shelves and Coasts (MOSSCO) is a coupling framework for Earth System Models. It helps users to integrate their own numerical models with other developments.
Quick Start:
git clone git://git.code.sf.net/p/mossco/setups mossco-setups
git clone git://git.code.sf.net/p/mossco/code mossco-code
cd mossco-code
cat QuickStart.md
or read online https://sf.net/p/mossco/code/ci/master/tree/QuickStart.md
Beware: this is alpha software, expect...
The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.