%0 Journal Article %1 Trelewicz17itpro %A Trelewicz, Jennifer Q. %D 2017 %J IT Professional %K 01841 ieee paper ai economy data pattern recognition analysis zzz.big %N 3 %P 8--10 %R 10.1109/MITP.2017.45 %T Big Data and Big Money: The Role of Data in the Financial Sector %V 19 %X The author discusses the relevance of big data approaches to the financial sector, outlining challenges to adoption as well as future opportunities for technology development. Corporate banking, including financial markets, corporate credit, and trading, entails massive volumes of both transactions and money, making it a promising focus for new IT technologies.

@article{Trelewicz17itpro, abstract = {The author discusses the relevance of big data approaches to the financial sector, outlining challenges to adoption as well as future opportunities for technology development. Corporate banking, including financial markets, corporate credit, and trading, entails massive volumes of both transactions and money, making it a promising focus for new IT technologies.}, added-at = {2017-07-13T17:00:20.000+0200}, author = {Trelewicz, Jennifer Q.}, biburl = {https://www.bibsonomy.org/bibtex/23f4fafb09b6162edc3c8729eaa533793/flint63}, doi = {10.1109/MITP.2017.45}, file = {IEEE Digital Library:2017/Trelewicz17itpro.pdf:PDF}, groups = {public}, interhash = {2ea709d05bd1f45331771a5d2dc5b8e7}, intrahash = {3f4fafb09b6162edc3c8729eaa533793}, issn = {1520-9202}, journal = {IT Professional}, keywords = {01841 ieee paper ai economy data pattern recognition analysis zzz.big}, number = 3, pages = {8--10}, timestamp = {2018-04-16T11:48:16.000+0200}, title = {Big Data and Big Money: The Role of Data in the Financial Sector}, username = {flint63}, volume = 19, year = 2017 }