Abstract: Techniques are provided that receive credit-worthiness, structured and unstructured data from disparate sources including general economic data sources, government data sources, and proprietary data sources. The received data are used by a credit rating model to assign a high-quality credit risk rating for a particular debt security in real time. Techniques are provided for improving accuracy of the rating including machine neural network learning.

Abstract: Techniques are provided that receive credit-worthiness, structured and unstructured data from disparate sources including general economic data sources, government data sources, and proprietary data sources. The received data are used by a credit rating model to assign a high-quality credit risk rating for a particular debt security in real time. Techniques are provided for improving accuracy of the rating including machine neural network learning.

Abstract: A system, method, and apparatus are directed to managing auxiliary content through an enhanced content management system (ECMS), for such as a blog, over a network. Auxiliary content may be selected from a networked device over the network for integration with another site, such as the blog. Such auxiliary content may include graphics, advertisements including sponsored advertisements, selectable audio clips, or the like. When the auxiliary content is selected, and a identifier of the other site is provided, data that may include a script, code, or the like, and that enables access to the auxiliary content is provided to the ECMS using the identifier. The ECMS may then use the data to position the auxiliary content within the other site. Once the position is determined, automatic incorporation of the auxiliary content within a webpage may also be performed using the ECMS.