Global Virtual Series on the Future Evolution of AI in Payments & Fraud Risk Management

Artificial Intelligence (AI) is here for quite some time and is successfully being used in banking applications like Fraud Analysis and Customer Risk Scoring, but with a limited scope. With such high expectations for the technology in payments and in myriad other industries, what will AI actually mean for consumers and merchants? What types of problems do payments technology companies and financial institutions expect to solve by deploying AI and other similar technologies?

Where financial crime is concerned, fraud schemes are growing more complex especially in the post-pandemic world and money-laundering schemes are going beyond trafficking. Through machine learning algorithms, payments companies can analyze more data in new and innovative ways to identify fraudulent activity and also how AI is transforming claims management in the insurance sector.

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Through our research, we have identified that the payment industry is on the cusp of reforms and players are eager to implement AI for efficient payment processing. There are many areas within payment processing where AI has a great potential to succeed.

Therefore, we are proudly organizing a global conference series on AI in Payments and Fraud Risk Management on January 28–29, 2021. It will be a virtual Summit, which will discuss how banks can mitigate fraud risk through the use of AI & ML.

This dedicated event will be jointly represented by 50+ leading speakers and it aims to gather about 500+ qualified attendees (mostly from banks, regulators, merchants, corporates, and innovative FinTech companies) who are looking to stay ahead of the curve.

We invite you to come along to participate as well as engage at this virtual summit.

For more information visit https://www.kinfos.events/aipsummit/

Trushti Patel

Trushti Patel is a news writer and a regular contributor to CryptoNewsZ. She always stays up-to-date with the latest happenings regarding the world of crypto. She is also sound in technical analysis.

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