ATLANTA--(BUSINESS WIRE)--PaymentsSource, a leading news and information resource for payments and financial service professionals, recently named Martina King, CEO of Featurespace, a real-time machine learning software company, as one of the publication’s “Most Influential Women in Payments.”
The women on this year’s list include leaders, influencers, innovators, and technologists who work in banking, payment processing, merchant acquiring, and machine learning, among many other disciplines.
“Payments is becoming an increasingly important segment of the technology arena through all the ways it engages consumers and impacts their buying experiences,” King said. “This award recognizes the women who are moving payments forward and will further inspire me to bring innovation and vision to this industry and Featurespace.”
Each year, the editors of PaymentsSource select the top women in the payments industry who are unafraid to take risks with investments, bring new ideas, and help develop technology that changes the way people exchange money.
King joined Featurespace in 2012 following leadership roles at Yahoo! Europe and Capital Radio. She is currently non-executive director of Debenhams and was named one of the “Top 40 Powerful Women in Tech” by Silicon Republic.
“Since joining Featurespace, Martina has been instrumental in our growth by fully engaging with our customers and motivating the team internally,” said Dave Excell, co-founder and CTO of Featurespace.
Featurespace™ is the world-leader in Adaptive Behavioral Analytics and creator of the ARIC™ platform, a real-time, machine learning software system developed out of the University of Cambridge.
With offices in Cambridge and London UK, and Atlanta, Ga., Featurespace has deployed ARIC to financial services and gaming organizations that have services or products deployed in more than 180 countries. Our customers include Ally Bank, TSYS®, Worldpay PLC, Playtech, PaddyPowerBetfair PLC, Vocalink Zapp, CashFlows and William Hill.
The ARIC™ platform monitors individual behaviors and detects anomalies to identify risk and catch new fraud attacks as they happen. The increased accuracy of understanding customer behavior simultaneously reduces the number of genuine customers whose purchases and transactions are incorrectly declined.