[67 Report Pages ] In recent years, financial institutions are adopting the artificial intelligence (AI) technology for managing their financial assets and reducing operating cost, thereby increasing the revenue.
Several fintech companies and banks are rapidly deploying voice assistants and chatbots to manage customer interactions and resolve issues (queries) with minimal human involvement.
With the implementation of financial asset management, the financial institutions can effectively manage their financial assets and meet expectations of the changing customer behavior by leveraging technologies, including AI, predictive analytics, and machine learning.
This will assist organizations in automation and improves business processes, thus resulting in enhanced customer’s experience.The global AI in financial asset management market is categorized based on the presence of diversified small and large vendors.
However, various vendors such as IPsoft and Lexalytics are competing with them in the global market by providing solutions at a competitive price with the customized product offering.
The market growth is fuelled by key vendors entering into strategic partnerships with suppliers and third-party vendors in the ecosystem to increase the global footprint and customer service capabilities.Natural language processing (NLP) is the fastest growing technology in the global AI in financial asset management market owing to the increasing deployment of chatbots and virtual personal assistants in the banking sector.