Payment intelligence – The integration of Artificial Intelligence (AI) technology with payment systems has resulted in substantial improvements in operational efficacy, establishing a mutually advantageous alliance between the two domains.

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PaymentIntelligence means using advanced technologies, data analysis, and artificial intelligence to make payment systems better and more efficient. This means using smart technology to learn about payment information and use that knowledge to make better choices. By looking at lots of payments quickly, PaymentIntelligence can find out if there are any things that look weird or that could be fraud. This is part 2 of the previous post from 2017 “PaymentIntelligence – Artificial Intelligence in the Payments Industry

Payments Intelligence – Outlook

PaymentIntelligence assists businesses in making their payment processes quicker, better, and less expensive. Artificial intelligence has been recognized and applied before the current epoch; however, its implementation has been deemed insufficient.

PaymentIntelligence means different things that help with payments, like stopping fraud, managing risk, watching transactions, learning about customers, and giving them better payment options.

The world of money and banks is about to have a big change because of something called artificial intelligence. AI can make a huge difference for fintech’s future, especially in Africa. The continent is getting better and there are more chances for people to do exciting things. This is obvious because things have been growing a lot in the last five years.

Artificial intelligence (AI) is going to change the way banks and financial companies work. It will make things easier and faster for customers, make operations run more smoothly, and help companies make better decisions based on data. AI technology can help fintech businesses work better. They can use chatbots to talk to customers and make good predictions about risk. This helps the business be more efficient and competitive.

Further exploration through rigorous research, development, testing, and practical implementation is imperative to elucidate the interdependent relationship among technologies (Payment science, AI and blockchain), payment systems and financial systems.

Introduction – Payments Intelligence

Implementing a national payments system has the potential to foster a cohesive connection among all sectors of a nation and enhance its resilience against covert financial activities. Additionally, the implementation of such a mechanism could effectively mitigate the rampant prevalence of impurities in subterranean markets.


Venture capitalists who are interested in this field have optimistic views regarding the impact of artificial intelligence on payment optimization, fraud reduction, customer support enhancement, and risk evaluation. It is believed that the potential of AI in these areas has captured their attention.

The Payment Intelligence System is positioned to deliver a multitude of benefits to consumers, including enhanced security measures, informed advice on ideal spending habits in terms of amount, timing, and location, and an exceptional overall customer experience attributed to the utilization of AI technology. At the same time, banking institutions stand to gain a significant advantage from the system’s numerous affordable and high-performance data processing capabilities.

Frequently, customers divulge an extensive range of details regarding their payment options, such as debit and credit cards, digital wallets, online banking software, mobile payment systems, and other forms of payment, regardless of whether they are aware of it or not.

Data Explosion and Payment intelligence

The inherent quality of data is lacking in energy and essential intellect if we don’t know how and what to look into it. The effectiveness of a particular action greatly depends on having sufficient support, expertise, and resources for its execution and implementation. When utilized alone, it has a tendency to produce restricted results and demands in-depth comprehension and proper management.

The evident importance of algorithms cannot be denied. Algorithms are crucial in deciding and driving actions. The fundamental aspect of high-frequency algorithms in the business world is their ability to analyze, evaluate, and make decisions faster than the regular heart rate of humans.


The intersection of FinTech and Advance technologies (Blockchain, Payment science with advanced analytics, and Artificial Intelligence) has unveiled advantageous prospects for creating income. A major focus in modern FinTech is the application of computer-generated algorithms to analyze sets of data in order to identify distinctive patterns. The implementation of state-of-the-art systems is contributing to the improvement of intelligent systems used in this sector, with the potential to elevate their operational efficiency to unprecedented heights.

As expected, these companies in this domain have a unique market niche and can efficiently overcome business challenges in their respective fields. The FinTech industry has undergone a major transformation due to the innovative effects of advanced technologies, resulting in the widespread introduction of financial services.

Expectations from Payments Intelligence

The introduction of the payment intelligence (PI) system has not only opened up numerous avenues for aspiring entrepreneurs but has also contributed to the growth and development of the economy. The expected level of standards is exceptionally elevated.

The confluence of blockchain, artificial intelligence, payment science, and financial technology raises the question of whether they can ultimately provide solutions or enhanced capabilities. Specifically, it is pertinent to explore how the implementation of machine learning and advanced analytics through payment intelligence can lead to improvements.

However, it is essential to ensure that a comprehensive understanding of the real and accurate problems is established before identifying any solution. Consequently, the relevant inquiries and concerns surrounding this issue require answers.

In order to develop innovative products, services, and solutions for financial technology and banking, it is essential to have a team with a blend of technical and business experts who can comprehend the importance and application of artificial intelligence.

AI is very powerful and important in the African market. Africa has more people using mobile phones and computers now. This makes it a good place to use artificial intelligence (AI) to solve problems. This new way of doing things can make financial services available to everyone, help more people be included in the economy, and boost growth in different areas.

Innovative machines are now capable of generating intelligent payments infused with in-built payment knowledge. What particularly intrigued me in the PI manual was the breakdown of intricate PI concepts, including regression and AI components, likened to a teacher imparting knowledge to students in a classroom, recommending linear for continuous outcomes and logistics for binary results. Solution architects assist mobile network operators in keeping up with emerging technologies and ensuring they can satisfy the needs of their clients.

PaymentIntelligence makes smart decisions based on new technologies and data to make payments safer and more secure. Smart computer algorithms are already being used by banks and fintechs. This enables them to provide services tailored specifically to targeted markets and their requirements. Such intricacies may enable African banks to significantly develop by adhering to global standards, fostering innovative ideas for future success, and gaining consumer trust, which many banks in Africa do not have.

To remain competitive in a changing business landscape, African banks must seek professional assistance and ensure that their designs are up to date.

Books Referred & Other material referred

  • Open Internet research, news portals and white papers reading
  • Lab and hands-on experience of  @AILabPage (Self-taught learners group) members.
  • Self-Learning through Live Webinars, Conferences, Lectures, and Seminars, and AI Talkshows

Points to Note:

it’s time to figure out whats next—a tricky decision that can really only be tackled with a combination of experience and the type of problem in hand. So if you think you’ve got the right answer, take a bow and collect your credits! And don’t worry if you don’t get it right; this next post will walk us through neural networks’ “neural network architecture” in detail.

Feedback & Further Question

Do you need more details or have any questions on topics such as technology (including conventional architecture, machine learning, and deep learning), advanced data analysis (such as data science or big data), blockchain, theoretical physics, or photography? Please feel free to ask your question either by leaving a comment or by sending us an  via email. I will do my utmost to offer a response that meets your needs and expectations.


Conclusion –  Payment intelligence uses new technologies and data to make smart choices that make payment processes safer. Big banks and tech companies are using fancy computer programs to study lots of information about people in Africa. This gives them the ability to provide special services that meet their customers’ specific wants and needs. African banks can do better by following important rules, being creative, and making customers feel confident. This will help them improve how they work. Using payment intelligence can lead to success in the future and can help African banks become top leaders in the banking industry.

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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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