Detail Crunching the Numbers; Big Data   Oleh:  [s.n] Jenis: Article from Bulletin/Magazine Dalam koleksi: The Economist (http://search.proquest.com/) vol. 403 no. 8785 (May 2012), page S10-S13. Topik: Banking Industry; Data Analysis; Bank Technology Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: EE29.71 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel A big bank hires a star analyst from another firm, promising to pay a substantial bonus if the new hire increases revenue or cuts costs. In banking this happens all the time, but this deal differs from the rest in one small detail: the new hire, Watson, is an IBM computer. Citigroup has hired Watson to help it decide what new products and services (such as loans or credit cards) to offer its customers. The bank doesn't say so, but Watson's first job may well be to try to cut down on fraud and look for signs of customers becoming less creditworthy. If so, Watson will be following other computers designed to deal with "big data". Across a slew of new firms in Silicon Valley and in big banks across the world, a range of new ideas is being tried to crunch data. Some have the potential to change banking from the bottom up. In most financial institutions the immediate use of big data is in containing fraud and complying with rules on money-laundering and sanctions. When moving on to more complex tasks, such as identifying the tiny percentage of fraudulent transactions among the millions of legitimate ones, the demands become ever greater. The problem is getting bigger because as banking has moved onto computers and mobile phones, and payments have shifted from cash to cards or electronic transfers, the opportunities for fraud have proliferated. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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