Prove Blog

Cloud and mobility are enabling the next generation of banking and commerce experiences. Cardless ATMs and withdrawing cash without cards are great examples of such innovations.

The rise of the ever-growing relationship between technology and financial services is bringing significant changes to the banking industry, which is becoming a battleground where competition is developing to be increasingly multifaceted.

Cryptocurrencies seem to be taking a special place in the minds of financial industry professionals as a wide range of cryptocurrencies have reached quite a significant market capitalization and turnover over the past year.

Because of the existing challenges and relative immaturity of the existing blockchain implementations, there is an urgent need to refocus the blockchain community toward standardizing blockchain technology APIs for application development.

Digital banking has gone mainstream, but it has become the only point of contact between banks and their customers in many cases.

While financial institutions are still in the early stages of adopting AI technologies, intelligent machines are expected to become the most defining for the future of institutions in the financial services and insurance industries.

FinTech is not a disruptive force (and blockchain is not a disruptive technology). Instead, it’s the history of institutional banking repeating itself.

There is much more in the payments space that has a more significant impact yet gets less talked about. We look at some of these segments today in this article.

A transformation in the banking industry was due – and neobanks are bringing that transformation.

Banking has now become data-driven, and service delivery channels have been digital for the most part.

Monese is a UK-based startup that targets immigrants who experience daunting tasks in opening a UK bank account as a foreigner.

The insurance industry has a vast potential for blockchain-driven innovations solving multiple pain points across the insurance value chain, owing to its reliance on disparate systems involving multiple participants with a high scope of data sharing.