News

insideBIGDATA

August 14, 2017

Breakthrough Argyle Data™ Application Successfully Predicts Mobile Subscriber Creditworthiness in Multiple Operator Trials

The solution is built upon Argyle Data’s existing machine learning (ML) applications that predict subscription fraud, stolen or false identities, SIM fraud, dealer scams, and handset theft schemes categorized as ‘Never Pay’.
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Dataversity

August 10, 2017

Breakthrough Argyle Data Application Successfully Predicts Mobile Subscriber Creditworthiness

AI/machine learning company Argyle Data has successfully concluded a series of trials with European and Latin American operators, using new algorithms and neural network architectures analyzing real carrier data to accurately predict subscribers’ intention and ability to pay monthly service bills.
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Press Release

August 9, 2017

Breakthrough Argyle Data™ Application Successfully Predicts Mobile Subscriber Creditworthiness in Multiple Operator Trials

Machine learning / neural network application accurately pinpoints defaulters before issues arise.
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This Week in Enterprise Tech

May 26, 2017

This Week in Enterprise Tech #241: The Convergence of Mobile Data and Finance

Beyond credit scoring (new approaches to subscriber validation), the convergence of mobile data and finance, banking the unbanked. Padraig Stapleton of Argyle Data talks about analyzing terabytes of data in real time.
View full interview >

Silicon India

May, 2017

20 Most Promising Technology Companies 2017

Helping organizations benefit from the power of intelligent applications is Silicon Valley, U.S. start-up Argyle Data. The company’s applications currently address the fields of fraud analytics, subscriber validation, IoT Security, and OTT traffic, providing near-instant insights into high volume, high velocity network traffic.
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Press Release

February 23, 2017

Argyle Data Extends Predictive Analytics Offerings to Enterprise Data Centers

Expanded machine learning/AI application brings real-time data insights to IoT, financial services and banking.
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Press Release

January 4, 2017

Argyle Data’s 2017 Outlook: Drowning in Data, Telcos Turn to Machine Learning to Provide Actionable Analytics for Voice and Data Traffic

Subscription and dealer fraud, IoT and IP traffic will be the top issues plaguing mobile providers in 2017.
Read full press release >

ZDNet

October 28, 2016

Why Machine Learning Is the Latest Weapon against Cellular Network Fraud

This article features joint machine learning research recently conducted by Argyle Data and Carnegie Mellon University.
Read full article >

Peggy Smedley Show

October 25, 2016

Peggy Smedley Show, Episode 477

Peggy Smedley, IoT industry expert, interviews Ole Mengshoel from CMU and Padraig Stapleton from Argyle Data on our joint machine learning research.
View interviews >

ABI Research

October 11, 2016

Mobile Broadband Operators Transform with Big Data and Machine Learning on the Journey to Digital Service Providers

Mobile broadband operators are ramping up spend for big data and machine learning as they transform into digital service providers. Leading infrastructure vendors—Ericsson, Huawei, Nokia and ZTE—are delivering big data and machine learning solutions oriented toward network operations. Even Hadoop/NoSQL startups like Argyle Data, and chip vendors, led by Intel and Qualcomm, are delivering solutions pertinent to the telecom operator.
Read full article >

insideBIGDATA

October 7, 2016

Big Data Machine Learning: Telco Fraud Detection Points the Way

In this special guest feature, Padraig Stapleton, VP of Engineering at Argyle Data discusses how the use of machine learning can help mobile operators like Verizon, BT, and others use big data and machine learning technologies to help detect and stop, cyber gangs in real-time, from stealing $billions via global mobile fraud.
Read full article >

CIO Advisor

October, 2016

Argyle Data: Big Data Machine Learning and Network Analytics

CIO Advisor features Argyle Data in its list of Top 10 Hadoop Solution Providers.
Read full article >

Press Release

September 20, 2016

Argyle Data and Carnegie Mellon University Silicon Valley Announce New Research Paper: Real-time Anomaly Detection in Streaming Cellular Network Data

Research validates adaptive AI/machine learning approach for near-instant identification of fraud and revenue threats.
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RCR Wireless

August 19, 2016

How Mobile Carriers Are Using Big Data, AI

Argyle Data discusses how mobile operators are using big data and machine learning technologies for real-time fraud detection, prevention and profit.
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Press Release

August 9, 2016

Argyle Data Points to Innovations in Machine Learning to Solve New Waves of Telco Fraud

Adaptive approach trumps rules-based systems in defending mobile operators from $38 billion in global fraud threats.
Read full press release >

IT Pro Portal

July 15, 2016

Q&A: How AI Stops Serious Fraud and Crime Rings in Minutes

Padraig Stapleton, vice president of engineering at Argyle Data, provides insights on how mobile operators are deploying big data and AI to protect themselves and their consumers.
Read full article >

RCR Wireless

June 9, 2016

Former AT&T Exec Turns up at Big Data Analytics Firm

Mohan Gyani, who served as president at AT&T Wireless Services, joins board at Argyle Data, which focuses on Hadoop-powered big data analytics solutions.
Read full article >

TechTank

June 2016

How Apache Hadoop Is Driving the next Generation of Cybersecurity

The adoption of Apache Hadoop has become widespread in the enterprise since its inception in 2006, with many of the world’s biggest brands tapping the open source data processing framework to power their business intelligence.
Read full article >

Press Release

June 8, 2016

Argyle Data Appoints Former CEO of AT&T Wireless Mobility Services Mohan Gyani to Board of Directors

Argyle Data today announced that Mohan Gyani, former president and CEO of AT&T Wireless Mobility Services and one of the wireless industry’s foremost experts, has joined its Board of Directors.
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Press Release

May 16, 2016

Cloudera and Argyle Data Survey Shows 90% of Service Providers Believe Hadoop Is the Most Effective Platform to Combat US $38B Revenue Fraud

Poll gives Hadoop the overwhelming lead in telco fraud prevention.
Read full press release >

This Week in Enterprise Tech

April 8, 2016

Argyle Fights Fraud with Big Data

Dr. Ian Howells, CMO of Argyle Data, discusses the battle against fraud in a video interview on This Week in Enterprise Tech.
Watch video >

Press Release

March 30, 2016

Argyle Data Recommendations from CFCA’s 2015 Fraud Survey Analysis: Think Globally, Act Locally

International revenue share fraud targets U.S. and Western European mobile users to siphon billions of dollars in fraudulent phone payments.
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Press Release

March 17, 2016

Argyle Data Explains Why Credit Ratings Fail Against Growing Threat of Mobile ‘Never Pay’ Fraud

Losses from ‘never pay’ contribute to 155% rise in subscription fraud to $8.1 billion in 2015.
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Press Release

March 2, 2016

PBX Hacking and IRSF: The New Knockout Combo Punch in Mobile Communications Fraud?

Why the 67% rise in PBX hacking is a key driver of international revenue share fraud.
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RCR Wireless

February 25, 2016

MWC Analytics Focus Is on Security, Monetization, and Connected Car

Big data and analytics continues to be an area of high interest for the industry, and the news coming out of Mobile World Congress reflects how vendors and operators hope to leverage BDA for their businesses in the coming year. In particular, three areas are trending: analytics in security, in monetization and in the connected vehicle space.
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RCR Wireless

February 22, 2016

Reader Forum: Mobile Fraud – Are the New Attack Frontiers Really Invisible?

Argyle Data parcels out insight from a recent report to study the impact of new and emerging mobile fraud types on operator revenues.
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Press Release

February 22, 2016

Argyle Data Signs Saab Grintek Technologies to Bring Revenue Threat Analytics to South African Mobile Communications Providers

Leading solutions integrator will provide Hadoop + real-time machine learning application to telecommunications customers.
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Press Release

February 18, 2016

Argyle Data to Showcase Revenue Threat Analytics Platform at Mobile World Congress

New joint technology platform with Cloudera and distribution partnerships underscore the increasing demand for Argyle Data’s mobile fraud prevention offering.
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Press Release

February 17, 2016

Kropmann Communications to Provide Argyle Data’s Fraud Analytics Application to African Telco Operators

As mobile fraud losses in Africa reach US$1.75 billion annually, prevention and detection moves to forefront of carrier concerns.
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Press Release

February 16, 2016

Cloudera and Argyle Data Unite to Battle Fraud for Communications Service Providers

Real-time fraud analytics platform based on Hadoop and powered by machine learning offers up to 350% better fraud discovery.
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Press Release

February 12, 2016

Argyle Data’s Revenue Threat Analytics Application Achieves Cloudera Certification

Argyle’s native Hadoop-based application leverages Cloudera Enterprise to deliver real-time fraud detection for mobile providers.
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Press Release

February 11, 2016

Is International Revenue Share Fraud the Major New Mobile Communications Crime Frontier?

Continuing series of commentaries on the Communications Fraud Control Association’s 2015 Global Fraud Survey examines the 500% rise in international revenue share fraud since 2013.
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Press Release

February 1, 2016

Mobile Fraud: Are We Winning the Wrong War?

The first in a series of commentaries on the findings of the Communications Fraud Control Association’s 2015 study examines the issue of ‘unknown unknown’ fraud types.
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Press Release

January 28, 2016

Argyle Data Continues Global Expansion Partnering with Kalostec in Latin America

Kalostec brings leading Hadoop/machine learning revenue threat analytics application to mobile operators in Latin America.
Read full press release >

RCR Wireless

January 5, 2016

2016 Predictions: Mobile Operators to Benefit from Hadoop

With 2016 now upon us, RCR Wireless News has gathered predictions from leading industry analysts and executives on what they expect to see in the new year.
Read full article >

Press Release

December 14, 2015

Business Intelligence Leader Proxy Signs Reseller Agreement to Include Argyle Data’s Revenue Threat Analytics Application in Its Solutions Portfolio

Proxy has signed a reseller agreement to offer Argyle Data’s revenue threat analytics application as part of its business intelligence solution suite for global telecommunications networks. The agreement marks a further step in Argyle Data’s international channel expansion strategy, and also reflects the increasing emphasis by global operators on stemming revenue losses from fraud, profit and SLA threats.
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Press Release

December 10, 2015

Argyle Data Named as One of 2015’s Most Powerful Big Data Vendors

Mobile fraud analytics leader recognized by CIO Story as an influencer in the detection and prevention of mobile communications fraud.
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Press Release

December 7, 2015

Argyle Data and Pyramid Partner to Bring Big Data Fraud Prevention Applications to Indian, Middle East & African Mobile Operators

Revenue threat analytics leader signs with digital crime and fraud investigation specialist as first step in building global sales channel.
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Press Release

November 30, 2015

Argyle Data’s Arshak Navruzyan to Present on Using Machine Learning to Detect Telco Fraud at Strata + Hadoop World Conference, Singapore, December 1 – 3

Arshak Navruzyan, VP Product Management at Argyle Data, will speak on new machine learning techniques for anomaly detection that are already proving their extreme effectiveness in identifying and preventing telecom fraud.
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Press Release

November 19, 2015

Argyle Data Outlines Five Key 2016 Predictions for Native Hadoop Applications, Machine Learning, and Graph Analysis

Mobile fraud, big data, and IoT drive surge in momentum.
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Press Release

November 10, 2015

Argyle Data Appoints Vikash Varma as President and CEO

Varma heads new global growth initiatives helping mobile providers battle $46bn in annual revenue losses to fraud.
Read full press release >

Light Reading

August 8, 2015

When Will Telco CFOs Say the ‘F Word’?

Fraud should be part of the risk assessment every telco makes, and those interested parties should be asking companies both financial and technical questions about their fraud solutions.
Read full article >

Press Release

May 6, 2015

The Silicon Review Names Argyle Data as One of 2015’s Top 20 Big Data Companies

Argyle Data today announced it has been named one of the “Top 20 Big Data Companies” by The Silicon Review. The list compiles The Silicon Review’s top big data companies that best address the needs of current enterprises, and have the potential to be market leaders.
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Hortonworks

May 5, 2015

Argyle Data and Hortonworks Partnership Enables Real-Time Fraud Detection on HDP

Argyle Data is a Hortonworks Technology Partner and recently certified on the Hortonworks Data Platform (HDP), and was awarded the OPS Ready badge for their integration with Apache Ambari. In this article, Dr. Ian Howells talks about how Argyle Data is helping customers detect fraud faster with their native Hadoop application.
Read full article >

The New Stack

March 21, 2015

How Argyle Data Uses Facebook’s PrestoDB and Apache Accumulo to Detect Fraud

Argyle Data is in the business of examining huge pools of transactions in search of fraudulent behavior. It’s a new frontier. And as we know, frontiers do not always have any defined set of rules.
Read full article >

Wired

March 17, 2015

Open Source Works. Just Ask Facebook.

Facebook likes to share its toys. Over the years, the company has released the source code and designs for many of its internal projects, allowing the rest of the world to use them, modify them, and build on them—all for free.
Read full article >

PC World

March 17, 2015

Facebook query software crawls data mountains more quickly

Facebook engineers have revamped the company’s open source Presto query engine to run up to four times faster, making it even more feasible for very large scale data warehouse work.
Read full article >

CIO

March 17, 2015

Facebook releases open source ORC reader for Presto

Aiming to optimize performance of open source distributed SQL query engine Presto, Facebook has designed a new Optimized Row Columnar (ORC) file format reader that supports columnar reads, predicate pushdown and lazy reads.
Read full article >

Gigamon

March 17, 2015

Q&A with Ian Howells, Chief Marketing Officer at Argyle Data

At the 2015 Mobile World Congress in Barcelona, we had the chance to talk with Ian Howells, Chief Marketing Officer at Argyle Data, to discuss their role with Gigamon in helping carriers fight fraud while preserving revenue. Here’s what he had to say.
Read full article >

TechRepublic

March 10, 2015

Stop thinking of fraud as taboo, and start addressing this critical IT security topic

In an email Q&A with TechRepublic, Tom Ryan discusses the resources that Google and Facebook have to combat fraud and how to reproduce them for the enterprise, how analytics technology is shifting to Hadoop, and the “fusion center” concept in cybersecurity.
Read full article >

Press Release

March 3, 2015

Argyle Data and Gigamon to Deliver Real-Time Fraud Detection and Analytics for Communications Service Providers

Gigamon and Argyle Data today announced that the companies are teaming together to deliver fraud detection and revenue protection for communications service providers (CSPs). This gives CSPs the ability to quickly and effectively respond to fraud while ensuring operational stability and performance of the operational network.
Read full press release >

Press Release

February 13, 2015

Argyle Data Joins the GSMA

Argyle Data will participate in the GSMA’s Fraud and Security Working Group (FASG) to help identify and share knowledge on how the latest big data, machine learning and anomaly detection techniques can be applied specifically to fraud and security in the mobile industry.
Read full press release >

FTF News (Financial Technologies Forum)

December 10, 2014

Time for a New Way to Fight Fraudsters?

Startup Argyle Data sees banks and securities firms as ripe for a new approach to fighting hackers and other financial criminals that exploits Big Data and machine learning technologies.

Every year, hackers and other financial criminals cost financial services firms billions of dollars in stolen revenue. While it’s unlikely financial fraud will be stomped out altogether any time soon, Tom Ryan, CEO of Argyle Data, believes his startup has found a way to offer firms a quantum leap forward in their preventative capabilities.

By harnessing some of the powerful technologies at the heart of digital behemoths like Google, Facebook and the National Security Agency (NSA) in a highly targeted manner, Argyle aims to keep firms in the black and fraudsters on their toes, Ryan says.

Read full article (subscription required) >

Datanami

December 3, 2014

Stomping Out Criminal Scams with Hadoop

The growing technical sophistication of criminals is leading to an arms race to see who can scale more quickly to outmaneuver the other side. One of the promising startups that’s looking to use the power of Hadoop and big data to put the kibosh on fraudsters and scam artists is Argyle Data.
Read full article >

Database Trends and Applications

December 2, 2014

Argyle Data partners with Hortonworks on machine learning-based Hadoop native fraud analytics

By joining the Hortonworks Technology Partner Program, Argyle says it can rely on Hadoop to help strengthen its ability to drive and lead efforts related to advanced analytics and emerging technologies, including petabyte-scale data storage, machine learning and deep-packet inspection (DPI).
Read full article >

Fierce Big Data

November 26, 2014

Argyle Data partners with Hortonworks on machine learning-based Hadoop native fraud analytics

Argyle Data announced that it has joined the Hortonworks’ partner program to provide Hadoop native fraud analytics to Argyle clients. It’s a great move to bake fraud detection deep in Hadoop rather than pasting it on later in the process.
Read full article >

Press Release

November 25, 2014

Argyle Data Joins the Hortonworks Technology Partner Program

Argyle Data announced a strategic partnership with Hortonworks that will allow Argyle’s clients to simply roll out Hadoop native fraud analytics applications based on the latest machine learning technology.
Read full press release >

Dataconomy

October 27, 2014

Argyle Data Taps Existing NSA & Facebook Tech in Flagship Product to Counter Fraud in Real-Time

Argyle Data, a real-time fraud analytics startup, has rolled out its flagship anti-fraud software, alongside an announcement of $4.5 million in funding to help companies detect and combat fraud through machine learning and real-time analytics.
Read full article >

insideBIGDATA

October 26, 2014

Argyle Data Launches New Fraud Detection and Mitigation Technology

Argyle Data, a leader in real-time fraud analytics for data-driven Hadoop organizations in mobile communications and financial services, announced $4.5 million in additional funding to help companies detect and combat fraud through machine learning and real-time analytics.
Read full article >

Gigaom

October 23, 2014

Startup uses database tech from the NSA and Facebook to detect fraudsters

A startup called Argyle Data has released its fraud detection software that’s built on the NSA-created Accumulo database and Facebook-created Presto SQL query engine, both of which have been proved to work with petabytes of data stored in Hadoop.
Read full article >

Press Release

October 23, 2014

Argyle Data Combating the Billion Dollar Fraud Industry with Machine Learning and Real-Time Analytics

Company strengthens its executive bench with hires from AT&T and Vodafone and announces $4.5 million in additional funding to help companies detect and combat fraud through machine learning and real-time analytics; product suite uses machine learning on a Hadoop stack to deliver applications that ingest data and analyze it in real time, reducing the window for detecting fraud or intrusion from hours or days down to seconds.
Read full press release >

Press Release

June 6, 2014

Argyle Data Announces PrestoDB Accumulo Integration at Accumulo Summit 2014

Argyle Data to present its integration of Apache Accumulo with Facebook’s PrestoDB distributed query engine at the first annual Accumulo Summit on June 12; event focuses on bringing together the Apache Accumulo community for a day of interactive discourse.
Read full press release >

Press Release

May 12, 2014

Argyle Data Shortlisted by CIO Review for 100 Most Promising Big Data Companies

Annual list showcases the 100 Most Promising Big Data Companies focused on offering Big Data Solutions; Argyle Data makes it to CIO Review’s 100 Big Data Companies list for its innovative solutions for the largest data-driven, data-intensive organizations in mobile communications, financial services, and e-commerce. Argyle Data’s simple ANSI SQL queries and machine learning at petabyte scale can guide a user to identify existing fraud and new fraud as it is emerging.
Read full press release >

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