Big Data Customer Experience Fraud Security 
Cisco
APRIL 26, 2022
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.
PYMNTS
SEPTEMBER 6, 2016
In a world where payments become more invisible the more digital they become, there’s never been a better opportunity to consider new ways to enable the digital transformation of financial services in a secure and compliant way. Payments Security As A Digital Business Enabler. Or watch its digital disruption.
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PYMNTS
MARCH 22, 2018
Fraud detection startup Sift Science has raised $53 million in a series D round, bringing its total amount raised to $107 million. Founded in 2011, Sift Science plans to use this latest round of funding to grow its fraud detection and prevention product globally. Clients include Twitter, Airbnb, Twilio, Instacart, Zillow and Yelp.
NCR
MAY 22, 2017
Big data has been one of the tech industry’s most popular buzzwords for a few years now. But as the number of data sources grows and technology to process it becomes more powerful, the trend is changing from a nice-to-have addition to becoming an essential part of any company’s offering. Fighting fraud.
PYMNTS
JUNE 2, 2017
First Data, the global commerce-enabling technology company, announced Thursday (June 1) the launch of Fraud Detect, a fraud solution for merchants around the world. According to First Data, using artificial intelligence, Fraud Detect analyzes vast data sets to identify fraud and potential chargebacks.
PYMNTS
JUNE 15, 2017
Can data make all the difference in the fight against payments fraud? Yes — if you know what to do with the data, and if you know where to find it in the first place. The discussion played off the findings of a new whitepaper from the firm titled, “Driving Up Conversion with Effective Fraud Management.”.
CFPB Monitor
SEPTEMBER 8, 2022
He observed that “[d]igitalization has put a premium on online and mobile engagement, customer acquisitions, customization, big data, fraud detection, artificial intelligence, machine learning, and cloud management” and that “these activities require expertise and economies of scale that most banks do not have.”
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