Cloud Computing Powering the Future of Finance
Driven by rapid innovation in the tech sector, financial services have embraced cloud computing, aiming to redeploy this towards their specific needs.
Driven by rapid innovation in the tech sector, financial services have embraced cloud computing, aiming to redeploy this towards their specific needs.
The reliance of the financial industry on both customer volume and complex decision-making makes it a prime candidate for embracing this artificial intelligence (AI) and machine learning (ML).
At its core, decentralised finance (DeFi) is the use of a peer-to-peer (P2P) network through which traditional financial services can operate, free from intermediation.
Various features of the blockchain and the underlying distributed ledger technology (DLT) make it ideally suited for use in any kind of transfer system whether it be payments, trading or lending.
Decentralised ledger technology (DLT) has immediate applications in the context of fraud prevention and security as it provides financial institutions with the ability to maintain a centralised ledger of transactions
Over the past decade, the financial industry has begun to embrace a series of innovations that have the potential to dramatically change the nature of the business in the future.
Implement a suitable framework for successful delivery by formulating the strategy, executing the strategy and ensuring execution is guided by governance.
Cloud Computing, by Nikit Kothari, executive director The use of cloud computing has been gaining some serious momentum in Financial Services in recent years. With an increased focus on cost efficiency, continuing to deliver against a very aggressive technical roadmap has become the norm in our current financial environment. Revenues are now growing based on […]
DevOps, the combination of development and operations, has been proven to improve the performance of the software development lifecycle. Despite this, and the fact that is has been an emerging practice across organisations for a while now, there are many reservations surrounding its implementation. A process which can easily be plugged into the overall structure […]
Balancing testing speed and release quality is one of the biggest challenges in software engineering. Even if you can keep up with testing the new functionality of a release, the continuous needs of testing the ever-growing regression scope can often seem unattainable. Regression testing is performed when changes are made to the existing functionality of […]