As of July 14th, Bitcoin has a total market capitalisation of 170.4 billion USD with a price of 9,246 and a circulating volume in the last 24 hours of 18.6 billion USD. On July 14, 2017, these figures were 36.7 […]
Close
As of July 14th, Bitcoin has a total market capitalisation of 170.4 billion USD with a price of 9,246 and a circulating volume in the last 24 hours of 18.6 billion USD. On July 14, 2017, these figures were 36.7 […]
The first cryptocurrency Bitcoin is still the most well-known application of blockchain, but this technology has since then slowly expanded and is starting to show promise in other areas. The initial hope with Bitcoin was to make both money and […]
Valuing Bitcoin- Mining, Fundamental Quantity Theory, The Puell Multiple, National Currency Comparison, Stock to Flow (STF), Store of Value (SOV)
Valuing Bitcoin- Mining, Fundamental Quantity Theory, The Puell Multiple, National Currency Comparison, Stock to Flow (STF), Store of Value (SOV)
In order to efficiently combat fraud, financial institutions are turning to artificial intelligence (AI) and its applications such as machine learning.
In banking, the utilisation of AI has become more of a necessity than a “nice to have.” They are under intense pressure on multiple fronts with the rise of Fintech companies, accelerated digital disruption and widespread technological advances
Financial Services institutions are typically hard ones to break into with innovation. However, the application of computer vision techniques is transforming and solving some longstanding problems amongst financial firms.
AI is heartbeat of most Fintech firms. The ability of AI platforms to solve human problems, reduce costs and enhance efficiency makes it a must-have asset.
Banks incorporating VR and AR have created apps where customers are able to manage their accounts and payments in a virtual setting.
Robotic process automation is a cutting-edge technology that has the potential to transform the financial services industry.
