Artificial Intelligence will fundamentally change the way Banking Industry does business. Artificial intelligence can provide insights in identifying opportunities specific to finance industry like preventing fraud with cyber surveillance and providing insights to help investors pick the right time to trade. It can also produce data that’s useful to identify and select the right clients.
In order to get there, Fusemachines provides you with a set of Data Scientists, AI Engineers, and dedicated consultants.
Chatbots have been deployed for customer service to augment human agents. The primary goal is to improve customer experience as well as increase the efficiency of the agents. Banks have been able to use chatbots for frequently asked questions, provide quick insights and even sell products. The data from the interactions can be used to improve services, better outreach and provide up to date informations to the customers.
Data is becoming one of the most valuable asset for the Banking industry. Financial data are being used today to gain insights on customer habits, requirements, and avenues for new products. Based on the data and AI technologies, efficiency can be achieved from branch locations to banking products that can reach more customers.
AI automation is being used to improve efficiencies in Loan processing and Management. Loan officers who would normally spend time in asking routine questions, filling paperworks, and processing claims can now become more efficient with the help of AI. ML algorithms can be used to identify best candidates for loans and possible defaulters by looking at the client’s financial history.
Dialog modeling is used for building dialog systems and finding its applications in various business enterprises like healthcare, education, entertainment, etc.
Answering customer questions about products and services
Facilitating transactions through guidance in the sales process
Responding to customer questions
Website navigation: Guiding customers to relevant portions of complex websites.
Personalized services. For eg: answering questions related to orders, bookings, etc.
We help build and incorporate dialog systems into applications that can benefit your business from a dialog based approach.
Document classification or document categorization is a problem in library science, information science, and computer science. The task of document classification is to assign a document to one or more classes or categories. This can be done "manually" (or say "intellectually") or algorithmically.
Our engineers can help you figure out the ontology of the document classes; work with your team to clean the data and build scalable classification solutions that can be used for classifying variety of documents from emails, user manuals, news, chats, etc.
Information Retrieval is the technique of obtaining structured or unstructured data that can satisfy information need from within a large pool of data stored in computers.
We can perform full-text information retrieval or build specific content based indexing. Depending on the requirements, we can build models for text documents, images, audio, mind maps or videos.