Auto insurance fraud costs companies billions of dollars every year. Those losses trickle down to policyholders who absorb some of that risk in policy rate increases. Thélem assurances, a French property and casualty insurer whose motto is "Thélem innovates for you", has launched an artificial intelligence program, prioritizing a fraud detection use case as its initial project. Fraud detection is a model that lends itself well to online machine modeling and is a project that would allow us to enter into artificial intelligence starting with the analytical field that we have prioritized. A successful fraud detection project would deliver immediate, significant financial gains for the company.

As we make more cashless payments for retail purchases, restaurants, and transportation – not to mention the increase in online shopping – wallets loaded with legal tender may become a thing of the past. According to 2018 research by BigCommerce, software vendor and Square payment processing solution provider, 51 percent of Americans think that online shopping is the best option. Last year, 1.66 billion people worldwide bought goods online. And the number of digital buyers is expected to exceed 2.14 billion. Unfortunately, growing sales may mean not only greater revenue but also bigger losses due to fraud.

Vikas Panwar, CTO & Chief Security Officer Corporate card programs are a powerful initiative for businesses to assist employees with great benefits like travel discounts and control spending. However, managing a corporate card program can be expensive and tricky. The complexity arises out of the manual processes involved in the company and cardholder onboarding, managing card controls and the elaborate and error-prone process of applying for new cards for employees. Against this backdrop, it is imperative to understand the best practices when implementing a corporate card program. "We are trying to eliminate these problems by enabling self-service workflows for card-holders," says Vikas Panwar, CTO and Chief Security Officer, SpendLabs, "I should be able to immediately lock my card if I lose it instead of having to call the bank."

Alaric Systems "Fractals" card fraud detection and prevention systems using proprietary inference techniques based on Bayesian methods. Analyst's Notebook 6, from IBM, conducts sophisticated link analysis, timeline analysis and data visualization for complex investigations. Aptelisense Compliance Automation Server, advanced real-time fraud prevention and data compliance that requires zero change to applications or systems. Business Data Miners builds highly effective data-driven models and rules to mitigate credit risk and fraud losses; saved its clients over $100 million in the past 2 years. Centrifuge, offers analysts and investigators an integrated suite of capabilities that can help them rapidly understand and glean insight from new data sources.

In addition, the solution reduces friction for existing trustworthy customers by eliminating time consuming and step-up challenges. For more information about iovation, please check the profile in the company database.

There is no question about it: the real-time, on-demand economy is disrupting ecommerce. These days, you can order rides, buy groceries, rent a car, make a dinner reservation, and more with a single tap on your smartphone – and each service arrives in as little as minutes. Against this backdrop of speed, more consumers are expecting – and even demanding – a fast and frictionless user experience. The challenge for businesses is to meet these high expectations and stay competitive – all without increasing risk. All types of ecommerce companies struggle with payment fraud, but time-sensitive businesses that fulfill orders in real time face unique challenges.