Sibos 2022: Is paperless trade within our grasp?
Digital trade finance has the potential to transform how we do business across borders.
Digital trade finance has the potential to transform how we do business across borders.
Here’s our pick of five of the top news stories from the world of finance and tech this week.
Design-led change is a collaborative process in which personal relations are a key driver.
This year will be one of continued disruption and evolution in banking technology.
The project seeks technology use and standardisation for the wider distribution of trade finance assets.
A quick look at four fintech firms that are worth keeping an eye on at the Sibos show.
Catch up on FinTech Futures’ top five fintech stories of the week – all in one place!
Lloyds Bank has launched a new service to help businesses manage their bookkeeping without manual intervention. Called Lloyds Bank Direct Bank Feed it allows clients to receive their statement information directly into their accounting software – “eliminating the need for businesses to manually input their bank statements and reduce the time spent reconciling accounts”. Steve […]
Lloyds Banking Group has created an in-house digital analytics team in the UK. This was in “partnership” with ASI (Advanced Skills Institute) and Google. However, the Lloyds’ team does not include any staff from Google. The bank tested Google’s big data platform technologies and analytics on non-personal behavioural data using a “secure” Lloyds account on […]
While a great deal of attention has been given to Lloyds Banking Group’s retail operations as its various elements are split up, less has been given to its activities in transaction banking, where it is “one year into a three-year journey” to transform itself and its customer offerings to create“the best global transaction bank in this region”.
The growth of peer to peer lending demonstrates that there is an alternative to the traditional lending model of banks. But can crowd funders ever replace the incumbents and do they enjoy long-run advantages or face being co-opted?
In the wake of scandals involving manipulation of market indices, can statistical learning theory be used to detect and fix anomalies in Libor and other market indices?