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Anomaly Detection – A Machine Learning Solution to Eliminate Risk
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Darshana Daga

Anomaly Detection – A Machine Learning Solution to Eliminate Risk

By Darshana DagaAI, Machine Learning
With the rapid growth of the internet and the IoT and the resultant digital transformation of the world we live...
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March 4, 2020
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Why Healthcare Industry needs to be data driven

By Darshana DagaAI, Healthcare
Mobile phones, smart watches, wearable health gears… there is avalanche of information and data about people’s health and activities today...
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February 24, 2020
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Leveraging Digital Technology to Unearth FinTech Fraud

By Darshana DagaFraud Detection
The volume of online transactions is growing exponentially -- driven by the digitalization, sheer increase in the volume of online...
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January 10, 2020
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TOP 5 FRAUD CASES OF 2019: LOOKING BACK

By Darshana DagaFraud
As we inched closer to the end of the decade in 2019, it turned out be a year where financial...
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January 10, 2020
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Supercharging your Financial Control & Fraud Detection Initiatives; the Role of Data Quality

By Darshana DagaData Sciences, Fraud Detection, Machine Learning
Effective fraud detection and financial control initiatives leverage advanced analytics and machine learning techniques to derive valuable and actionable information...
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December 17, 2019
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Huge Payoff is Possible by Identifying Fraud Schemes

By Darshana DagaFraud Detection, Machine Learning
The volume and dollar value of fraudulent transactions has mushroomed in recent years due to the phenomenal growth of electronic...
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December 9, 2019
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Savvy CFOs are using Machine Learning to detect Fraud Schemes

By Darshana DagaFinance, Machine Learning
With the burgeoning growth of electronic financial transactions and their relative anonymity, sophisticated fraud schemes have exploded in the last...
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November 27, 2019
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Understanding Healthcare Claims & Fraud: An Unfortunate Certainty

By Darshana DagaAI, Healthcare
Healthcare claims are inviting and alluring target for fraudsters due to their huge monetary value. In 2017 alone, HHS and...
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November 19, 2019
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