Argyle Data Insights

formerly published as Fraud & Technology Wire

This guy goes into a phone store ….

Machine learning + neural networks + mobile domain expertise = extraordinary accuracy in weeding out high risk subscription applications You go to a phone store, pick out a handset, the salesperson checks your credit history, [...]

Recent Insights Articles

Cloudera IPO: Hadoop in the Spotlight

Only a few IPOs set the heart of the VC world racing. SnapChat certainly did it (and produced an unprecedented ROI for the investors club at my daughter’s former high school). For the next big [...]

AI, Sci-Fi, Robots … Roomba

What the artificial intelligence debate needs is a healthy dose of realism Headlined by household names like Professor Stephen Hawking and sparked by authorities ranging from Homeland Security and Science Today, most of the attention [...]

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Recent Fraud Articles

This Week in Fraud & Big Data Technology – November 11, 2016

Here are this week's top stories in telco fraud and big data technology: SDN, IoT Drive Network Refreshes: Security Lags Behind The glass is half full: workplace mobility, Internet of Things (IoT) and SDN are [...]

#FraudFriday: Signal Manipulation (SIP and SS7 Hacking)

Every Friday on Argyle Data Insights it’s #FraudFriday, where we take a look at different kinds of fraud and how they impact businesses and consumers. Signal Manipulation at a Glance This fraud involves manipulation of either [...]

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Recent Technology Articles

This Week in Fraud & Big Data Technology – November 11, 2016

Here are this week's top stories in telco fraud and big data technology: SDN, IoT Drive Network Refreshes: Security Lags Behind The glass is half full: workplace mobility, Internet of Things (IoT) and SDN are [...]

This Week in Fraud & Big Data Technology – November 4, 2016

Here are this week's top stories in telco fraud and big data technology: Forrester Predicts Investment in Artificial Intelligence Will Grow 300% in 2017 Insights matter. Businesses that use artificial intelligence (AI), big data and [...]

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