Know How Global Artificial Intelligence in Banking Market build loyalty, and enhance security across financial services

Artificial intelligence has the potential to help banks become more efficient in the process of detecting fraud and money laundering. Artificial intelligence is disrupting diverse industries, but banking is projected to benefit the most out of incorporating AI systems in the next couple of years. The basic applications AI include bring smarter chat-bots for customer service, personalizing services for individuals, and even placing an AI robot for self-service at banks. Beyond these basic applications, banks can implement the technology for bringing in more efficiency to their back-office and even reduce fraud and security risks.

With increasing automation, there is a fear of reduced loyalty due to less personal contact. However, increased AI usage does not necessarily mean less personalized experience, in fact, banks are using AI to increase client satisfaction, improve efficiency and maintain customer loyalty in many ways.

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Scope
- AI encompasses a wide range of technologies, including robotic process automation, natural language processing, advanced data analytics, and image analytics. Use of these technologies will help banks improve both front-office and back-office processes.

- Customer-facing uses of AI include chatbots that improve communication between banks and their customers, advanced analytics that can offer proactive advice to consumers and take simple financial decisions on their behalf, and facial recognition that improves onboarding and makes it easier for consumers to log into their accounts.

- Back-office AI implementations include algorithms that can identify and block cases of fraud and money laundering, and analysis of non-traditional data to assess the creditworthiness of borrowers who lack standard credit records.

A major chunk of the report talks about the technologies that are and will influence the growth of the Artificial Intelligence in Banking market. Forecasts for these technology sectors are presented in the report. Integration is the key to advancement in technology in the global Artificial Intelligence in Banking market. Companies that offers the latest integrated technologies at an affordable cost are expected to thrive in the Artificial Intelligence in Banking market. The dominating technologies in the Artificial Intelligence in Banking market along with the upcoming technologies that are expected to revolutionize the market are explained in the report

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For a detailed competitive analysis, the Global Artificial Intelligence in Banking Market is segmented on the basis of region, application, and product type. By region, the global sales market is divided into Asia-pacific, Europe, Latin America, the Middle East and Africa, and North America. Major industries are concentrating on distributing their products and services across various provinces. Moreover, acquisitions and unions from some of the leading administrations are on the cards in the near future. Efforts are being taken by most of the companies to improve their research and development activities to introduce innovations.

Table of Contents:

Global Artificial Intelligence in Banking Market Research Report
Artificial Intelligence in Banking Market Overview
Global Economic Impact
Competition by Manufacturers
Production, Revenue (Value) by Region
Supply (Production), Consumption, Export, Import by Regions
Production, Revenue (Value), Price Trend by Type
Analysis by Application
Manufacturing Cost Analysis
Industrial Chain, Sourcing Strategy and Downstream Buyers
Marketing Strategy Analysis, Distributors/Traders
Market Effect Factors Analysis
Market Forecast
Appendix

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