Banks Reinventing Banking – The financial systems have evolved over a substantial period, and have gone through a captivating journey marked by sudden changes in the underlying technology. In reality, the discussion on artificial intelligence in the banking sector lacks any sensationalism. There is a need to reassess operational priorities due to the introduction of artificial intelligence (AI) in the banking sector.

AI-based banks must prioritize the essential needs of their customers over advanced technological solutions. The task mentioned earlier necessitates a complete revamp or overhaul of the entire banking journey. The creation of Artificial Intelligence (AI) must be focused on its ability to produce outcomes.

AI & Banking – Introduction

There are many chances available, and the proactive person who takes advantage of them quickly gains an advantageous position. The Ministry of Innovation has obtained backing from governing entities such as regulatory bodies and central banks. By setting one’s sights on limitless possibilities, one can unlock and fully utilize their capabilities. It is important to acknowledge the vastness of the sky, especially since it appears that there is currently a scarcity of unoccupied terrain.

To fully understand AI-powered banking, it is very important to check its significance, and advantages, and conduct thoroughly when it comes to segmenting customers and adhering to regulations. In this field, the notions of proficiency and excellence are interconnected and essential in providing exceptional banking services. Thus AI should create

  • Banking experience an indispensable and independent
  • An excellent resource for bankers to serve customers far better than now
  • It should convey fresh ideas, solutions, insights, and trends on daily basis based on learnings from the markets, customer behaviour and data trends.

In this post. we explore the potential advantages and difficulties of incorporating Artificial Intelligence in banking establishments and how it can be utilized to streamline their operations and elevate the satisfaction of their clients.

In the bank-led financial sector, banks should prioritize customer-centric practices, financial inclusivity, and enhancing infrastructure to better serve customers through agents, merchants, billers, and remittance partner networks. However, regrettably, this does not seem to be a top priority for them. Banks prioritize high-value transactions over those with just a few dollars.

AI Supporting Banking

Artificial intelligence (AI) solutions encompass an array of technologies that are now used by almost every fintech and some banks like below

  • Machine learning – Used for patterns, behavior, scoring, and predictions.
  • Deep Learning – Deep learning with its subdomain i.e. neural networks are now super handy for facial recognition for KYC and the login process.
  • Big Data Analytics – Various types of analytics are used to detect fraud, prevent fake campaigns etc.

The progress of technology offers a wide array of analytical methods, including prescriptive, predictive, and descriptive, that can serve various objectives. Progressive banks seem to be increasingly opting for the use of virtual agents and advanced technologies that comprehend natural language.

The all-encompassing abilities of Artificial Intelligence (AI) ought not to be exaggerated as it is not a turn all banks and banking problems into solutions. The implementation of AI as a strategic tactic has the potential to relaunch bank to unprecedented levels of success. This holds particular relevance for financial establishments, technology-driven financial startups, and banks whereby the accessibility and protection of data are of utmost significance.

The widespread emergence of advanced technology has prompted several companies to expand their range of services beyond their core business and venture into the financial services sector to enhance profitability. These organizations were assigned the responsibility of aiding numerous customers through varied delivery channels, including mobile providers, physical stores, and online vendors.

Points to Note:

AI is increasingly being utilized as a means of categorizing banks as being either good or the best. Banks aspiring to reach the top tier are rapidly embracing artificial intelligence, bots, and machine learning approaches. Banks must be able to effectively harness and comprehend their data before this can be achieved. Information aimed to assist and comprehend clients and other related matters. The entire credit for any contribution is solely attributed to the original contributor.

Books + Other readings Referred

  • Research through Open Internet – NewsPortals, Economic development report papers and conferences.
  •  AILabPage (group of self-taught engineers) members hands-on lab work.

Feedback & Further Question

Do you need any clarifications on FinTech, Digital Banking Technology, Machine Learning, Data Science, or Data Analytics? Feel free to drop a comment or send an email containing your question, and I will do my utmost best to provide an insightful response.


Conclusion – The present-day technological developments such as the usage of artificial intelligence have created various opportunities for banks to innovate and transform their services. The utilization of artificial intelligence technology in the banking sector holds the capacity to revolutionize the conventional banking system by making it more productive, customer-focused, and cost-efficient.

It is advisable to proactively welcome the forthcoming transformations before they completely consume one’s essence. In order to maintain their status as a banking partner, financial institutions must implement improvements in their business practices. Failure to adhere to the specified rules will lead to the withdrawal of their banking rights within a near future.

 #WeTransformLives, #iTransformLives, #MobilePayments.

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Posted by V Sharma

A Technology Specialist boasting 22+ years of exposure to Fintech, Insuretech, and Investtech with proficiency in Data Science, Advanced Analytics, AI (Machine Learning, Neural Networks, Deep Learning), and Blockchain (Trust Assessment, Tokenization, Digital Assets). Demonstrated effectiveness in Mobile Financial Services (Cross Border Remittances, Mobile Money, Mobile Banking, Payments), IT Service Management, Software Engineering, and Mobile Telecom (Mobile Data, Billing, Prepaid Charging Services). Proven success in launching start-ups and new business units - domestically and internationally - with hands-on exposure to engineering and business strategy. "A fervent Physics enthusiast with a self-proclaimed avocation for photography" in my spare time.

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