Big data presents a tremendous opportunity for enterprises across multiple industries especially in the tsunami like data flow industry of “Payments”. FinTech, InsureTech, MedTech are major data generating industries i.e massive group of factories. According to some data from Google it shows technology based innovative insurance companies
These terms are used to from BI Intelligence, To illustrate the various applications of AI in eCommerce and use case studies to show how this technology has benefited merchants/ecommerce service providers. Different consumers have varying, and often very specific, requirements for product, needs, expect performance, cost of consumption, silicon wafer thin kind of cost for best thing in mind and other parameters.
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.
Payment intelligence (PI) System – Can open lot of opportunities to young entrepreneurs and boost economy of the nation. Bringing Artificial intelligence to make FinTech better, demystified and simple. How payment intelligence will become better with machine learning. How ….. To bring people from technical backgrounds, business people who can understand and appreciate the need and concept of Artificial intelligence to create products, services and solutions in financial Technology and banking domain.
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.