PYMNTS

JUNE 12, 2017

With total fraud losses outside of consumer losses expected to reach $31 billion by 2020, it’s no wonder payments provider TSYS partnered up with adaptive analytics and real-time learning platform provider Fearturespace for a new venture into the fraud prevention and cybersecurity space. TSYS’s President and Chief Operating Officer, Pamela A.

Fraud 100

Fraud Analytics Operations Tools 100

FICO

SEPTEMBER 18, 2020

Chartis highlights two distinct areas of focus for these solutions – ‘GRC for Cyber’, that focuses on compliance and governance, helping organizations understand their own cyber risk and how to navigate their cybersecurity frameworks.

Cyber Security 52

Cyber Security Risk Management Analytics Data 52

FICO

JUNE 9, 2022

To address this need, FICO brought two machine learning models to the market: the AML Threat Score, a supervised analytic model and the AML Soft-Clustering Misalignment Score, an unsupervised model. With AML operations in many banks deluged with false positives, it’s no surprise that sophisticated money launders continue to evade detection.

Analytics 52

Analytics San Diego Cyber Security Data 52

FICO

APRIL 7, 2016

The INFORMS conferences continue to unveil game-changing approaches that businesses are using advanced analytics such as optimization to literally transform lives and businesses. management science, and analytics. Four hands-on sessions and a fraud presentation by FICO’s Chief Analytic Officer, Scott Zoldi.

Analytics 40

Analytics Cyber Security Conference Fraud 40

FICO

APRIL 10, 2020

Crossing the COVID-19 Chasm - Key takeaways: The COVID-19 situation exposed glaring weaknesses in businesses’ readiness to operate virtually, especially in areas like decisioning, which require huge volumes of diverse, real-time data. Companies scrambled to virtual operations, in some cases, with only limited access to critical systems.

Innovation 52

Innovation Data Strategy Operations 52

FICO

APRIL 10, 2020

Key takeaways: The COVID-19 situation exposed glaring weaknesses in businesses’ readiness to operate virtually, especially in areas like decisioning, which require huge volumes of diverse, real-time data. Companies scrambled to virtual operations, in some cases, with only limited access to critical systems. Then COVID-19 hit. .

Innovation 52

Innovation Data Strategy Operations 52

NCR

DECEMBER 7, 2016

These innovations are already changing how the industry operates and how businesses engage with their customers, and are only set to become more important in the years to come. The potential for deployment of AI and machine learning across the financial services sector seems almost limitless.

Innovation 40

Innovation Cyber Security Fraud Industry 40

FICO

MARCH 23, 2021

But plotting the path from initial implementation to widespread commercial adoption of connected devices, ‘smart’ applications and emerging use cases, could be a tricky one and hinges on up-front analytics and well-considered optimisation. Scaling the Opportunity for Financial Services.

Cyber Security 52

Cyber Security Retail US Trends 52

FICO

JANUARY 5, 2023

Moreover, FICO has produced various open banking analytic models for use by financial institutions around the world. With a weakening economy, BNPL firms have seen a rise in bad debts, growing losses, increased costs of operations and tumbling share prices. focused on AI principles and standards.

Policies 52

Policies Company Regulation Risk Management 52