Bringing Artificial intelligence to make FinTech better, demystified and simple. How FinTech intelligence will become better with machine learning. Artificial Intelligence is a field that includes everything that is associated with the data (cleansing, preparation, analysis and many more), Learning processes to describe, diagnose, predict and prescribe with use of AI subfields like Machine Learning, Deep earning and Neural networks. Machine learning is a field of Artificial Intelligence, which is allowed to software applications for making accurate results.
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.
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.
With advancement in technology, artificial intelligence, organisations outside the banking industry diversified and demystified financial services by targeting small & succinct margins in the space. These were organisations servicing millions of customers through broad distribution channels, be they mobile operators, mobile handset manufactures, retailers or on-line merchants. Integrating AI applications, such as IBM Watson and N26 with Siri
Blockchain to transform financial services. Disruptive technologies transform traditional industries. The future computing will have extraordinary capabilities with expected factoring of a 3,000 digit number (40 power to 10) faster than today