Simility spent a few days last week at Lendit Fintech USA, one of the key tech innovation events on the financial services calendar. We had a productive time reaching out to industry practitioners, listening to their pain points and explaining how our Adaptive Decisioning Platform can help finance risk teams...
Fraud is a fast-moving business. Any company hoping to offer true value for its customers in blocking malicious transactions without adding friction for the end user must be constantly looking to evolve its tools and techniques. This is not an easy job, given the speed of innovation by the fraudsters...
AutoML feature in Simility's Adaptive Decisioning Platform helps businesses sharpen their machine learning models and bolster the frontline defense with relevant real-time insights....
Fraudsters are constantly looking for new ways to attack and real-time payments present new avenues for criminal activity. Banks and financial service providers will have to move from a post-transaction batch-based analysis and reporting model to a contextual, early warning-based preventive framework supported by advance analytics and data intelligence to...
The power of machine learning and automation can help global firms better manage risk, meet regulatory compliance requirements and exploit new economic opportunities. ...
At Simility, we pride ourselves on leading a new era of machine learning-powered anti-fraud solutions. Since beginning this journey in 2014, we’ve come a long way in meeting the growing demands of our global business customers thanks to the tireless work of our dedicated team. So it’s with great delight...
APAC is a collective of 31 countries home to 60% of the world’s population and 50% of its internet users. While unprecedented numbers of people are shopping, banking, and interacting with digital businesses online, fraud has quickly adapted and has never been more prevalent. This week, Kedar Samant, Senior Director, Risk...
Visit us at MRC 2019 in Las Vegas March 18-21. If you’re going, we’d love you to stop by our booth (719) or drop into one of our keynotes or demo presentations! ...
In the wake of increasing fraudulent applications, digital businesses are facing enormous challenges in successfully onboarding new customers while keeping fraudsters at bay. Businesses can no longer rely on legacy tools and need agile solutions to sieve out fraudulent applications at the first level itself. ...
Clear-box machine learning algorithms allow businesses to make informed decisions, while accurately detecting fraud. Machine learning is playing a pivotal role in enhancing customer experience and helping businesses fuel growth. It has evolved as the go-to-technology when it comes to fighting fraud. This is largely because machine learning algorithms have an incredible ability...
