Payment Trends: BAI Beacon 2017 Preview
Cut through the noise and examine the payment trends most likely to affect your bottom line.
Machine Learning
State Street unveils Quantextual Idea Lab for investment research
State Street has launched its Quantextual Idea Lab, a hybrid of machine learning and human knowledge, for improved investment research. According to the firm, investment professionals are inundated with research reports from the sell side, the buy side and academia. It reckons financial research teams can produce enough content to consume 24 reams or 12,000 […]
Leveraging AI and Machine Learning to Enhance the Customer Experience
As big data just keeps getting bigger, banks, retailers and every other kind of company must have more sophisticated tools to understand and predict what customers want and need.
STACK Taps Mastercard Prepaid for Challenger M-Banking App
There’s a new fintech challenger in town. Toronto-based STACK announced its partnership with Mastercard two weeks ahead of the beta launch of its mobile financial services app and companion prepaid card.
What we learnt at CloudSec: life, death and Twitter
Before you get too excited about the down and dirty world of cloud security, we should warn you this is more of a light-hearted report on the quirky things our sister publication Telecoms.com picked up at the CloudSec conference.
Petal uses machine learning to underwrite credit without credit score
After two years of stealth technology development and $3.6 million in venture capital backing, New York City-based Petal has announced a credit card that uses machine learning to underwrite customers instead of traditional credit scores.
Fintech Trends: the Expected, Unexpected and What’s Next at FinovateFall
Get a sneak peek at what trends will shape the discussion at FinovateFall, including a few things you might not expect.
CardLinx Adds Members, Launches Retail AI Forum
The CardLinx Association announced four new members—Capital One, JCB, Yahoo! Japan and Dentsu—as well as the launch of a “groundbreaking forum” on Retail in the Age of Artificial Intelligence (AI) on Sept. 12, 2017, in Chicago.
Mexico-based MIT taps Featurespace for payments fraud prevention
Machine learning continues to take center stage in fraud prevention for the payments industry. Mexico-based payments processor MIT will use U.K.-based Featurespaces’ real-time, machine-learning platform to detect anomalies in individual behavior for fraud and risk management for its 17,000 merchant partners.
Mastercard buys in to AI with Brighterion
Mastercard has entered into an agreement to acquire Brighterion, a software company specialising in artificial intelligence (AI), reports Banking Technology‘s sister publication Paybefore. This acquisition follows Mastercard’s March acquisition of NuData Security and will further expand Mastercard’s capabilities to “deliver an enhanced customer experience and security”. Brighterion’s portfolio of AI and machine learning technologies provide real-time […]
Mastercard Buys in to AI with Brighterion
Mastercard has entered into an agreement to acquire Brighterion Inc., a software company specializing in artificial intelligence. This acquisition follows Masterdard’s March acquisition of NuData Security and will further expand Mastercard’s capabilities to “deliver an enhanced customer experience and security.”
Co-bots, not robots: the next big step for AI in insurance
Many have proclaimed that 2017 will be “the year of artificial intelligence (AI)”, with a 300% increase in investment in its technologies predicted compared with 2016. Start-ups with AI at the core of their business in particular will be looking to benefit from this surge in investment capital, as they did last year when 550 raised $5 billion in funding.
Artificial intelligence is fact, not fantasy!
Parth Desai, CEO and founder of Pelican, discusses why artificial intelligence (AI) is already fact not a fantasy, but cautions that we need to be realistic about what can really be achieved on the journey to true AI adoption in transaction banking and payments.
Optimal execution and the human-machine interface
In recent years we have seen a strong trend for institutional trading desks to leverage their data to improve trade execution results and become more recognised as active participants in portfolio performance. Two important applications of predictive analytics have arisen, both aiming to improve the manner in which trading algorithms are used and controlled. It […]
