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Nice Actimize acquired Guardian Analytics, an American privately held company headquartered in Mountain View, California, in August 2020 which provides behavioral analytics and machine learning technology for preventing banking fraud. It was established in 2005 [1] and its products are based on anomaly detection to monitor financial ...
N. R. Narayana Murthy was born on 20 August 1946 in Sidlaghatta, a city in India's south-western state of Karnataka [20] into a Kannada- speaking middle-class Brahmin family. [21] After completing his school education, he went to the National Institute of Engineering and graduated in 1967 with a bachelor's degree in electrical engineering .
In 2014, CustomerXPs launched Clari5 sherlock to fight multichannel banking frauds with Big Data Analytics and was recognized as one of Gartner's top vendors for online banking fraud detection. [10] In 2017, CustomerXPs had managed 200 million accounts at a single site, which is one of the largest real-time implementations. [11]
Murthy started Infosys with six engineers with $250 in 1981, and took advantage of Western tech companies hoping to outsource IT operations to lower-cost India. He stepped down as the company's ...
Longtime Infosys CEO N.R. Narayana Murthy has returned to the company he founded in 1981 as its new executive chairman of the board, Infosys recently announced. The Infosys board approved the ...
The Paycheck Protection Program was one of the signature federal economic relief measures in the early days of the COVID-19 pandemic, providing small businesses loans of up to $10 million that ...
Hunter Fraud Score is a rating score in India prepared by the credit information company Experian to help detect fraud in credit applications through analytical approach. The score was launched in 2016 and is used by Indian banks and insurance companies to help them lower their losses.
Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud.