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Drive Away Fraudsters With Driverless AI - Venkatesh Ramanathan, Senior Data Scientist, PayPal

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Share results from experiments conducted on large scale payment transaction data. Venkatesh is a senior data scientist at PayPal where he is working on building state-of-the-art tools for payment fraud detection. He has over 20 years experience in designing, developing and leading teams to build scalable server-side software. In addition to being an expert in big-data technologies, Venkatesh holds a Ph.D. degree in Computer Science with specialization in Machine Learning and Natural Language Processing (NLP) and had worked on various problems in the areas of Anti-Spam, Phishing Detection, and Face Recognition.


Use cases of AI-based FinTech solutions: from fraud detection to big data mining - Techfoliance

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Artificial Intelligence has caught the attention of the world, including financial institutions. While AI-based FinTech solutions may not get the same attention than autonomous cars or robot dogs, its impact will undoubtedly be felt. AI-based FinTech solutions will both save financial institutions billions in cost and create billions in additional revenues, potentially creating more than a trillion in additional profits in the financial services industry. A study done by Accenture showed that the implementation of AI in the financial sector could lead to a 31% increase in profitability rates by 2035.[1] Moreover, AI will allow to customize financial services delivered to clients, leading to an enhanced customer experience.


Machine learning and big data know it wasn't you who just swiped your credit card

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You're sitting at home minding your own business when you get a call from your credit card's fraud detection unit asking if you've just made a purchase at a department store in your city. It wasn't you who bought expensive electronics using your credit card – in fact, it's been in your pocket all afternoon. So how did the bank know to flag this single purchase as most likely fraudulent? Credit card companies have a vested interest in identifying financial transactions that are illegitimate and criminal in nature. According to the Federal Reserve Payments Study, Americans used credit cards to pay for 26.2 billion purchases in 2012.


Machine learning and big data know it wasn't you who just swiped your credit card

#artificialintelligence

You're sitting at home minding your own business when you get a call from your credit card's fraud detection unit asking if you've just made a purchase at a department store in your city. It wasn't you who bought expensive electronics using your credit card – in fact, it's been in your pocket all afternoon. So how did the bank know to flag this single purchase as most likely fraudulent? Credit card companies have a vested interest in identifying financial transactions that are illegitimate and criminal in nature. According to the Federal Reserve Payments Study, Americans used credit cards to pay for 26.2 billion purchases in 2012.


Future of Artificial Intelligence - You May Question the Capabilities but Cannot Ignore

#artificialintelligence

In the current era, emerging technologies are capturing our interest. Upcoming enterprises are engaged in a race on business analytics, data science, machine intelligence, robotics, cryptocurrency, blockchain, Internet of Things, cybersecurity, augmented reality and much more. Autonomous vehicles, artificial intelligence, drones and virtual reality are trending topics of discussion. While GDPR gets enforced effectively on May 25 and we have concerns with cybersecurity, we can neither leave our addiction of smartphone nor stay away from social media. We can fathom the impact of technology when we see the changes in consumer behavior.