AI in Wealth Management and WealthTech

The main idea of the paper is researching AI and other technologies for Wealth Management. Implementation of the AI in WealtTech helps in giving the best investment advises. Wealth Management includes retirement planning, inheritance tax, estate planning, and other activities according to investment preferences. WealthTech aims to manage investment funds and assets more efficiently, accessible, and personalized through data-driven insights and smart automation. Besides improving their efficiency, WealthTech aims to automate investment and wealth management services. WealthTech utilizes innovations like blockchain, artificial intelligence, and machine learning to improve investment decisions combining technologies for fund transformation and asset handling. These technologies include a wide range of solutions and include robo-advisors, social trading, robot-retirement, quant advisors, and micro-investing. This approach use the best technology solutions more advanced than typical analysis used in financial institutions. WealthTech AI applications are developed to create wealth data dashboards tailored to the clients needs. The applications enable clients to see full and transparent picture of their entire wealth and visualise wealth maps and data-driven analytics to uncover valuable investment insights. The aim of the applications is to convert diversified investment portfolio in clear reports and graphs. Because of the advancements in AI, the programs provide personalized advice concerning wealth management and business strategies. The Manuscript will present WealthTech solutions on the practical example and recommend the most attractive investment opportunities on the global market.