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AI in Fintech Market development trends, key players, competitive landscape and key regions


The report offers a complete understanding of the improvement approaches, procedures, cost structures, and future growth. Due to the effects of COVID-19, the implementation of AI in Fintech Marketis expected to witness a rapid advance, thereby resulting in the fast growth of the AI in Fintech Market. This is mainly due to the rapid adoption of the technology for mapping the spread of the disease and implementing preventive measures. Hence, various government organizations are utilizing the AI in Fintech Market technology for varied applications during the pandemic. Artificial intelligence enables FinTech to occur in real time.

Global Artificial Intelligence in BFSI Market – Industry Analysis and Forecast (2017-2026) - WeeklySpy


Global Artificial Intelligence in BFSI Market size in 2017 is 2.50 million US$ and it is expected to reach 19.80 million US$ by the end of 2026 with a CAGR of 29.52% during 2017 -2026. Artificial intelligence (AI) in BFSI refers to the simulation of human intelligence into machines with the help of sophisticated machine learning, deep learning, chat-bots, cognitive computing, and natural language processing algorithms that help in customer relationship management, communication, and recruitment & wealth management. Artificial intelligence in BFSI is driven mainly by digital data .Artificial Intelligence (AI) is fast evolving as the go-to technology for banks across the world to personalize experience for individuals. Positive rise of AI-based application in BFSI such as customer support, fraud detection, improving employee efficiency, reduce fraud and security risks. Growing adoption of smart devices and growing penetration of internet services across the globe is fuelling amount of the data.

Ten Problems for Artificial Intelligence in the 2020s –


A briefing from the European Parliament [1] provides accessible introductions to some of the key techniques that come under the Artificial Intelligence banner, grouped into three sections to give a sense the chronology of its development. The first describes early techniques, described as'symbolic AI' while the second focuses on the'data driven' approaches that currently dominate, and the third looks towards possible future developments. By explaining what is'deep' about deep learning and showing that AI is more maths than magic, the briefing aims to equip the reader with the understanding they need to engage in clear-headed reflection about AI's opportunities and challenges. In 2019, community groups, researchers, policymakers, and workers demanded a halt to risky and dangerous AI. AI Now's 2019 report [2] spotlights these growing movements, examining the coalitions involved and the research, arguments, and tactics used.

Artificial Intelligence In Insurtech Market by Solution, Service, Type, Application, Deployment Mode and Region – Global Forecast 2018 to 2023 - Press Release - Digital Journal


Artificial Intelligence (AI) is described as the science of creating intelligent machines capable of performing real time tasks at a level of human expert emphasizing nearly every business operation across various business sectors. Traditional review methods in insurance sector posed several threats related to policy making, premium rates fixing and risk of grouping policy holders. The evolution of AI as an insurance technology is mitigating these risks and also supporting the insurers in decision making. The increased level of personalization and better outcomes to the customers offered by AI are the major driving factors for the rise of AI in insurance sector. New research report on the global Artificial Intelligence In Insurtech market is a complete overview of the market, covering various aspects product definition, segmentation based on various parameters, and the prevailing vendor landscape.