FinTech – With advancements in technology and artificial intelligence, organizations outside the banking industry have diversified and demystified financial services by targeting small and succinct margins in the space. These were organizations servicing millions of customers through broad distribution channels, be they mobile operators, mobile handset manufacturers, retailers, or online merchants. Integrating AI applications, such as IBM Watson and N26, with Siri


To read the full interview click here


Introduction

In the dynamic world of FinTech, Artificial Intelligence stands as a transformative force, ushering in innovations across various facets. From algorithmic trading to personalized banking experiences, AI is reshaping the landscape, offering efficiency and tailored solutions.

  • As the march of progress brought forth the era of intelligent machines through advancements in machine learning, deep learning emerged as a transformative force, particularly in the realm of information security. This shift ushered in an era of super-intelligent machines, though the realms of artificial super intelligence and machine consciousness, while fascinating, lie on the horizon, a good 20–30 years away.
  • The concept of artificial consciousness, a sibling to artificial intelligence and cognitive robotics, delves into areas beyond our current discussion. They weave technology seamlessly into the fabric of banking, incorporating chatbots and video calls for client interactions, and employing robotic advisors to enhance the financial journey. It’s not just banking; it’s a heartfelt embrace of the future.
  • In this vast landscape, only a rare handful of banks, like precious gems in a vast treasure, are truly disruptive. These unique banks transcend the traditional, with no physical branches, conducting their entire business through intuitive apps and user-friendly websites.

As AI continues to evolve within FinTech, the synergy promises increased efficiency, enhanced customer experiences, and robust risk management. This innovative integration of AI ensures a future where financial technology becomes not just smarter but also more attuned to the unique needs and aspirations of individuals and businesses alike.

Artificial Intelligence Innovation in FinTech

Artificial Intelligence (AI) has truly been a game-changer in the world of financial technology (FinTech), bringing forth a wave of incredible innovations and progress. Let’s explore some areas where AI is making a heartfelt impact in FinTech:

  • Algorithmic Trading and Robo-Advisors: Imagine smart computer programs working in real-time, analyzing heaps of financial information to spot trends and make trades automatically. Robo-advisors, your friendly investment helpers, use AI to give you personalized advice and manage your money based on what suits you best.
  • Credit Scoring and Underwriting: AI-powered credit scores are like your financial superheroes, looking at lots of different details to figure out how trustworthy borrowers are. Automated processes, guided by AI, make getting loans faster and simpler, cutting down on the waiting time for decisions.
  • Fraud Detection and Security: Think of AI as your vigilant guardian against fraud. It studies patterns and irregularities in your transactions, using cool tech like behavioral biometrics and machine learning to keep your money safe from cyber threats.
  • Customer Service and Chatbots: Have you ever chatted with a helpful computer friend? AI-driven chatbots are like that – providing instant, personalized support for all your money-related questions and transactions. They even understand and respond in a way that feels just like talking to a human.
  • Personalized Banking Experiences: Picture this: AI gets to know you really well, understanding how you like to manage your money. It then gives you personalized advice, recommends products, and even helps you set budgets – like having a personal finance assistant by your side.
  • Regulatory Compliance: AI helps banks and money people follow the rules. It uses Natural Language Processing to read and understand all the complicated regulations, making sure everything stays fair and legal.
  • Risk Management: These smart computer models assess and predict risks by looking at trends and economic indicators. It’s like having a financial crystal ball, helping to prepare for different scenarios and keeping your money safe.
  • Blockchain and Smart Contracts: AI makes transactions on blockchain (a cool, secure way of dealing with money) even more efficient and safe. Smart contracts, with a touch of AI magic, make sure agreements happen just as they should, without any confusion.
  • Insurtech Innovations: In the world of insurance, AI is like a super-smart underwriter, figuring out risks more accurately. It also speeds up the process of dealing with claims, making things quicker and more efficient.
  • Quantum Computing: – Think of quantum computing as the next big thing. Even though it’s in the early stages, it has the potential to do super-fast, accurate calculations – making everything work even better in the future.

The way AI and FinTech are coming together is pretty exciting, offering better, more personalized experiences for you and making sure your money is in safe hands. As technology keeps moving forward, we can look forward to even more amazing ways AI will make our financial lives better.

Interview With African Business Review

Here is a snapshot of the interview: African Business Review:

  • Tell me a little about your role with Econet Wireless Zimbabwe.

[Vinod] – You can find everything on my blog, but here’s a brief word or two about where I am right now. I have extensive experience in IT networks, telecom services, and the financial technology space. I am now exploring artificial intelligence to add value to myself and my skills, as machine learning is the future of every business and technology of today. I sit in a very key position to oversee the entire changing landscape of the financial IT, i.e., fintech services sector.

  • In our previous issue of African Business Review, you discussed the challenge that banking and financial organizations face in trying to keep costs low while ensuring the same high quality of services. Is this still the case?

Sometimes its ok and good for everyone to un-develop something existing to uncover the hidden gems. Maybe we should un-develop to innovate?

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[Vinod] – Unfortunately it’s the same case and I believe fintech will settle its score in the next couple of years. Keeping costs low is the prime idea, as this is a low margin business for low value transactions, if the cost at any time starts looking north, customers immediately start running south.

  • With the continued growth of mobile payments, how has this impacted the industry?

[Vinod] – The continued growth has made a positive impact to the industry and will only continue to do so. As mentioned before, fintech will be settling down in the next couple of years and will rest for good in order to look at what it has got and how to make best out the tools in its pocket. One of the biggest tools is the data it has collected and continues to collect. It’s a time for data science and to explore every bit to see how cost, revenue, sales, growth, usage etc. can be optimised.

  • How has the pace of innovation impacted the financial industry?

[Vinod] – With the advancement of technology, our computers start simulating our actions, interactions, perception and will be equipped with cognition abilities very soon.  Intelligent machines are no longer science fiction with experts divided as to whether artificial intelligence should be feared or welcomed. AI is going to cover all industries like banking, fintech, payments and almost every single business domain.

Financial services websites provide tips as a site banner or blog posts for its customers, but the content that comes out is dependent on customer’s activities, including their spending/saving/investment habits and how they interact with the apps.

Descriptive analytics is all about using cutting edge tools meant for data science to understand what has happened in the past and how this will predict the future.

Functionally, a typical banking organisation sees IT as a cost centre and every one working in IT and technology as a cost rather than an asset

  • What are some of the current trends?

[Vinod] – The future is more scientific. Rather than simple analytics, AI will help fintech market as it’s all about descriptive analytics, predictive analytics and prescriptive analytics. These will guide fintech businesses on where, when, and how to invest. What’s important though, is that cost is king of controlling these trends.

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  • What do you think the future African financial space will look like?

[Vinod] – The African financial space is still very new and bears so much potential. Advancement of technology, financial services, machine learning for business excellence and customer centric solutions will allow services providers to penetrate the segment. Other factors like financial inclusion, financial innovation and financial technology will allow service providers to serve customers with more and more solutions at a lower cost.

To read the full interview click here

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The most striking AI solutions to FinTech, banks, insurance companies (now called InsureTech) and any other financial services company will probably be those that have the robust & smart financial systems with data security, machine learning (machine conciseness is very far for now) and strong analytics features in place. On usage and acceptance part of AI i.e.

AI for intelligence or AI for automation we will probably see both types of services getting emphasis heavily by Fintechs to gain a competitive lead. AI will sit on top of every industry of today and will dictate what to do, when to do, how to do and what not to do. Usage of statistics analogy for real life problems to make succinct sense of the information around us support intelligence for better prediction and strategy. Predictions are fintech could be bigger than ATMs, PayPal, and Bitcoin combined in few years time.

FinTech brings efficiency as well as the ability to deliver new services and a much improved customer experience throughout the global financial services industry.

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By V Sharma

A seasoned technology specialist with over 22 years of experience, I specialise in fintech and possess extensive expertise in integrating fintech with trust (blockchain), technology (AI and ML), and data (data science). My expertise includes advanced analytics, machine learning, and blockchain (including trust assessment, tokenization, and digital assets). I have a proven track record of delivering innovative solutions in mobile financial services (such as cross-border remittances, mobile money, mobile banking, and payments), IT service management, software engineering, and mobile telecom (including mobile data, billing, and prepaid charging services). With a successful history of launching start-ups and business units on a global scale, I offer hands-on experience in both engineering and business strategy. In my leisure time, I'm a blogger, a passionate physics enthusiast, and a self-proclaimed photography aficionado.

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