Remove Big Data Remove Fraud Remove Management
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Why The Best Fraud Defenses Need Artificial And Human Intelligence

PYMNTS

Mari Anne Bayliss , senior director of solution management at CyberSource , told Karen Webster that simply relying on machine learning as a weapon against fraud is not enough — not in an age where managing fraud risk during the great digital shift (and unprecedented transaction volumes) is so challenging. . .

Fraud 250
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Big Data Explosion

Cisco

Those opportunities will rely on data and analytics for real-time decision making. Some familiar examples are receiving banking fraud alerts on mobile devices, submitting photos for insurance adjustments, or using robo-advisors for investment decisions. Creating new customer value from AI.

Big Data 134
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Triggering (Actionable) Big Data Insight, Always In Motion

PYMNTS

DataTorrent ’s Jeff Bettencourt, SVP of marketing and business development, said traditional attitudes surrounding information are such that firms collect data, store it in a central location and then “extensively poke at that data to get the information you want,” which is, in turn, used by management to help make business decisions.

Big Data 119
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Top 10 Things You Didn’t Know About Data & Analytics in the Oracle Cloud

Perficient

The world of modern data and analytics continues to evolve and is very exciting. The change really began in earnest about 10 years ago with the introduction of Hadoop and big data processing. While this explosion of data use cases started on premises, it is most certainly migrating to the Cloud as the primary platform.

Analytics 332
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The AI Method To Fighting Fleet Card Fraud

PYMNTS

These tactics cast a wide net of fraud over the fleet card industry – from issuers and acquirers to fleet managers, employers and employees themselves. Goldspink recently told PYMNTS that fleet card-related fraud goes far beyond skimmers at the POS.

Fraud 153
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Learning About Machine Learning  

PYMNTS

Through improving technology and decreasing costs, AI and Big Data are now combining to help firms in the financial sector prevent payments fraud. The Stage was Set with Big Data. Certainly, the mountains of data are becoming larger by the day. The savings for U.S. In addition, AI is expected to add $8.3

Big Data 214
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DIY Fraud Management: Five Things To Know About Building Your Team

PYMNTS

There are different levels of fraud management an organization can implement, from completely in-house to completely outsourced. But for a company planning to build an internal team to manage and prevent fraud 24/7, it’s important to understand the value and limitations of this approach.

Fraud 101