Tag: Demystify
AI Changing FinTech Modus Operandi
AI in Fintech is a great help & ease for understanding on how the automation can be achieved for automated tasks (yes its true). Machine Learning focuses on predictions, based on known properties learned from the training data using too much statistical inductive reasoning. It’s been said ML works very well as long as past gets repeated in future. Financial chat bots use predictive analytics to push out real-time, informed responses to customers without the need for human intervention.
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AI The Epicenter of eCommerce
In our todays online shopping how much is artificial intelligence. How artificial intelligence can help retailers to deliver the highly personalized experiences shoppers desire. Ant colony optimization algorithm (To formulate training feed-forward neural networks with ant colony optimization) to obtain the users’ preference information are widely used in todays ecommerce business for comparison-shopping to solve the problem of the user bias’ filtering and learning. The performance improvements are important to both consumers / buyer and sellers / merchants.
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Magic Word Pay in Digital Payments
Today’s consumer expects a seamless mobile payment experience; failing to meet those expectations can be devastating to a brand, idea, innovation and eventually the payments industry. The world’s best companies; main from out side of payment / financial domain are rushing (yes rushing) for Digital Transformation for money. Getting inspired by the cutting-edge technologies, innovative products and solutions
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Mobile Money Basics : Part-2
Mobile Money, Mobile Payments, Mobile Banking and Mobile Commerce can be termed Mobile Financial Services. The magic word known as “Pay” has gone viral in today’s time and every day we have 1 or 2 new startup’s entering the payment industry, specifically into the Mobile Payment domain. Mobile phones can be used to deliver a range of banking services. Not from Banks, I am separating banking and banks. Banking services dont need banks any more. Transaction data can be used to develop customers’ credit histories to offer other top-up services.
