BankBuddy.ai—Business Expansion and Marketing Dilemma
A Case Study to Discuss the Ansoff Growth Matrix Concepts Combined with Business Expansion Strategies for Expanding into Emerging Markets.
A roadmap for Fintech firms entering fast-growing emerging markets
In BankBuddyʼs case, AI - NLP, machine learning, big data, and recommendation logic - enables the solution to be implemented for a different language and culture within months.
Artificial intelligence for Digital banking sales
Retail banking will look very different in post COVID 19 world. This is the time when every bank will transform into a Digital/Neo bank and aggressively expand their Digital banking...
Machine Learning Methods in Ontology Engineering: A Literature Review
Ontology forms a key emerging domain that has a vast potential for improving the organizing, managing and understanding of information...
Design of A Machine Learning Model for Automatic Generation of Domain Specific Ontologies
Presently, the development of an Ontology for a particular domain is influenced by a knowledge engineer’s intervention and extent...
A Detailed Study on Machine Learning Techniques for Data Mining
Data mining is the way of extracting the useful information, patterns from large volume of information by using various techniques. It is a powerful technology with great potential to help businesses to make full use of the available data for competitive advantages. This paper discusses various...
Development of a Machine Learning Model for Knowledge Acquisition, Relationship Extraction and Discovery in Domain Ontology Engineering using Jaccord Relationship Extraction and Neural Network
Creating a fast domain independent ontology through knowledge acquisition is a key problem to be addressed in the domain of knowledge engineering...
Automatic Relationship Construction in Domain Ontology Engineering using Semantic and Thematic Graph Generation Process and Convolution Neural Network
In recent studies, Ontology construction plays an important role in translating raw text into useful knowledge. The proposed methodology supports efficient retrieval using multidimensional...
Cognitive Banking Architecture - Human Centric AI framework for automated Customer Engagement in Banking
The purpose of this paper is to inculcate the concept of a Human centric in Cognitive banking framework in an attempt to deliver customer-centric AI-driven customer experience and engagement platforms...