We discuss 5 top machine learning use cases in Finance and Banking industries to shed light on the opportunities ML provides for Fintech and some challenges to overcome.
While lots of technologies have positively impacted the financial services industry, it is clearly AI that has truly revolutionized financial services. Having…
In the dynamic world of finance, open banking, with its intricate web of interconnected technologies, collaborative ecosystems, and innovative financial solutions, emerges…
Blockchain is a decentralised and distributed ledger technology that facilitates secure, transparent, and tamper-resistant record-keeping of transactions. It consists of a chain…
Cutting-edge technologies have become an inseparable part of the financial industry. Given their vast outreach and the considerable number of benefits, more…
People seem ready to go all-in with a cashless style of life and forget about clunky wallets. To achieve this, society needs…
In today’s expansive financial services landscape, consumer expectations for customer service have soared to new heights. Conversational AI chatbots have emerged as…
Payment providers (or payment gateways) are legion, so it is really easy to fall a victim to analysis paralysis while trying to choose the one that will power up your business. You should decide which payment provider to use based on the type of service you provide and a market you want to target.
Security, security, and security. Have I mentioned security?
FinTech software deals with money, and the very first thing people want when the deal gets to their money is security (duh). Fintech applications become more intuitive and easy to use with every day, which is awesome but also not that much.