Customer Experience – Chatbots, Image Processing, Customer Onboarding, Customer Service Level improvement

Using an intelligent chatbot, customers can get all their queries resolved in terms of finding out their monthly trading, investment products, affordable insurance plan, and much more. Customer onboarding is the complete process that users go through when they act as clients of a bank or FinTech company. Onboarding experience can truly determine the customer’s …

Risk Management

Credit risk is the economic loss that emanates from a counterparty’s failure to fulfill its contractual obligations, or from the increased risk of default during the term of the transaction. The increased complexity of assessing credit risk, market risk has opened the door to deep learning in finance. This is evident in the growing credit …

Sentiment Analysis

You can follow current market trends by scrolling news and publication all day long, hiring someone to do it for you or using sentiment analysis. This methodology analyzes text by sentences, distinguishing positive, negative, and neutral meanings. In trading, sentiment analysis tools analyze market sentiments and mentions of companies that are in an investor’s portfolio …

Investment Predictions

The fact that machine learning-enabled technologies give advanced market insights allows the fund managers to identify specific market changes much earlier as compared to the traditional investment models. Benefits for the company The trading market is subject to various risks, if they can predict investments correctly then they gain unexpected benefits from the investments, minimize …

Financial Advisory

Robo-advisors work like the regular financial advisors. As a rule, they target investors who have limited resources and want to manage their funds, like small- and medium-sized businesses or individuals. AI-based robo-advisors create financial portfolios for their users and apply historic data processing, including risk assessment algorithms in some situations. These solutions cover the following …

Algorithmic Trading

Algorithmic Trading is the most important part of financial institutions. In algorithmic trading, there are complex mathematical formulas and lightning speed computations that help the financial companies to devise new trading strategies. Big Data has had a huge impact on algorithmic trading and data science has become its most important feature. The data present in …

Fraud detection and Prevention

Financial organizations use it to monitor a considerable amount of transaction parameters at once for every account in real time. The algorithm examines historical payment data and analyses every account holder’s action. Fraud detection involves monitoring and analysis of the user activity to find any usual or malicious pattern. Such models can be highly prominent …

Credit Scoring

The so-called credit scoring system assesses a person’s creditworthiness and credit risks, based on numerical statistical methods. This technology is often used in fast lending for small amounts, when registering consumer express loans in real stores by credit companies, in the business of mobile operators or insurance companies. Scoring is the assignment of points by …

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