With advancement in technology, artificial intelligence, organisations outside the banking industry diversified and demystified financial services by targeting small & succinct margins in the space. These were organisations servicing millions of customers through broad distribution channels, be they mobile operators, mobile handset manufactures, retailers or on-line merchants. Integrating AI applications, such as IBM Watson and N26 with Siri
How come my bank knows what I am going to buy next, how come my internet browser offering me add on something which I was searching on google few minutes or days backs. How do they know my voice or can recognize my picture without any human intervention. Answer is much simpler then it looks or simpler then the complexity of out own thought process. Use of deep learning
The financial services industry has already implemented machine learning. Numerous fields utilize it, including intricate solutions such as thwarting fraudulent activities, assessing risks, obtaining a deeper knowledge of customers, and enhancing the medical industry, among other applications. The wide-ranging issue of generating intelligence has been subdivided into various components, each of which has become a distinct area of research dedicated to addressing its unique challenges.
The elimination of physical cash from economy is feasible is purely a technological perspective or assumption. Our hard earned money and investments disappear into a labyrinth of financial instruments so mysterious that “money” almost becomes more of an idea than a tangible reality.
Despite the proclamations of some visionary Fintech founders, banks aren’t disappearing anytime soon. The engine under the hood of big banks — the compliance and money-transfer systems — are simply too difficult for any start-up to replace, which is why tech plays like Apple Pay are still built on top of existing bank systems and payment rails. To maintain the dominance they’ve enjoyed up to this point, however, banks need a radical redesign of their customer-facing assets. If banks fail to overhaul
In areas where traditional banking holds sway, the focus often intensifies on fintech adoption for enhanced mobile money and financial inclusion, propelling a market shaped by agent-driven initiatives. Conversely, in robust banking landscapes, fintech’s momentum primarily accentuates a merchant-driven framework, emphasizing streamlined payment systems and seamless international remittances. The ever-evolving landscape of mobile payments witnesses the emergence of numerous cutting-edge
MNO’s speed to achieve their goal to standardise, automate, digitise, remove boundaries by brining cross order financial/remittances service in form of payments, cash, airtime, paperless and online. At the same time banks are still in their canteens with their coffee mugs without any sign of worry but in reality all African banks face tough challenges from MNO’s & Fintech players.
For FinTech, it’s an opportunity to pick services to push through the BaaP and BaaS models, and owning an entire business paradigm is neither feasible nor desirable anymore. Almost all players who entered payments and insurance in the FinTech domain are actually coming out of this game with zero or no knowledge. This is too much innovation to put an idea on the table, but it takes longer to make it a reality. Technical companies entering the financial domain and making it interesting by doing technical integration, or fintegration,”
Almost all players who entered into payments in arena of FinTech domain are actually coming out of this game park with zero or no knowledge. This is giving too much innovation to put idea on table but takes longer to make it reality. Technical companies entering financial domain and making it interesting by doing technical integration, or “fintegration”, of fintech services, the latter interfacing directly to bank customers for