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How AI backed data analytics and business intelligence revolutionize banking

The dawn of the technological revolution has brought about numerous changes in the way financial institutions and other entities do business and interact with their customers. One of the leading technological advancements in today’s date is the inception and implementation of Artificial Intelligence (AI) in all aspects of the modern life, including the way we bank.

The impact of AI in the banking and finance industry has been immense, aiding institutions in the sector streamline and optimize operations with automation, mitigating the need for human intervention. AI enables banks to speed up manual tasks and leads to higher accuracy by eliminating the possibility of human error. It can also help boost revenue by personalizing offers and services through analysis of customer data. Key areas like compliance, security and wealth management also see a noticeable improvement with the assistance of AI, ensuring banks can focus more on their primary objectives instead of diverting resources to complex and time intensive processes. Financial institutions are witnessing a revolution with AI through optimized operations, streamlined processes and reduced costs.

Banks and other financial institutions now have access to vast amounts of historical data about their existing and potential customers. Analysis of this data in conjunction with algorithmic AI can enable banks to predict future outcomes based on past customer behavior, patterns and trends. Evaluation of this data can also improve credit risk assessment and other verticals like personalized marketing. These actionable insights can help banks make informed data-driven decisions to increase efficiency in business processes, mitigate risks and generate more profits.

Another significant role of AI in the banking sector is in the use of algorithms for identification and prevention of frauds. AI algorithms can detect fraudulent transactions in real time, enabling banks to take prompt action to prevent such activities and safeguard themselves from financial losses.

It is imperative that banks adhere to strict compliance requirements to avoid noncompliance risks, time-consuming queries from regulatory bodies and incurring fines. With AI, banks can alleviate manual compliance reporting through automated generation and delivery of reports. Automation with minimal human supervision allows banks to redeploy skilled resources to more higher-value activities.

AI has also empowered banks to automate many client facing services. For instance, with the implementation of AI-backed chat-bots, banks have shifted user interactions to pre-defined, algorithm-based responses that ensure an elevated customer experience. In addition to traditional call centers, customers now use smart devices to interact with an effective chat-bot for answering basic queries with ease and for a multitude of other services.

Harnessing the power of customer data analysis through AI can lead to banks offering a more personalized experience to customers. Customers can be segmented into groups based on similar interests, buying and investment patterns etc. to create marketing campaigns that entice customers to buy more services. Algorithm-based AI models can be trained to analyze data and provide valuable insights into investments and other portfolio management services. By leveraging these insights, banks can provide tailored investment advice to customers, taking into consideration their risk limits and investment preferences.  With AI, customers can get optimized investment strategies that get them the desired results.

Protection of customer identities and sensitive data is another area of primary concern for banks. Eliminating data breaches or leaks that can cause their customers financial problems or other sorts of distress is of utmost importance. AI can aid in strengthening security measures and enhance the capability of monitoring and reporting tools by detecting unusual network activity or identifying malicious software early on. This can help banks take swift action in case of a data breach and avoid collateral damage.

In conclusion, the evolution of AI and its implementation in the banking and finance industry has brought about a revolution that has streamlined and optimized operations, automated redundant tasks and has led to a greater security for customers, not only in their private and sensitive data but in their investments and portfolios as well. The continuous evolution and development will enhance the capabilities of current AI systems even further, ensuring that it becomes a vital part of the industry in the foreseeable future.

(The author is Mr Anurag Sanghai, Principal Solution Architect, Intellicus Technologies, and the views expressed in this article are his own)

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