“LEGO” Bricks for applications – WealthTech

Technology today with it’s speed, content streaming and cloud storage ability, is facilitating the construction of scalable applications by allowing us to take those front-end and back-end frameworks or ‘lego’ pieces that allow the construction of whatever the mind can imagine.

“LEGO” Bricks for applications – WealthTech

Technology today with it’s speed, content streaming and cloud storage ability, is facilitating the construction of scalable applications by allowing us to take those front-end and back-end frameworks or ‘lego’ pieces that allow the construction of whatever the mind can imagine.
Fintech Course By FINTECH Books Contributor, Suhnylla Kler Follow: @SuhnyllaKler Technology today with it’s (4G LTE) speed, content streaming and cloud storage ability (witness AWS), is facilitating the construction of scalable applications by allowing us to take those front-end and back-end frameworks or ‘lego’ pieces that allow the construction of whatever the mind can imagine. Like a dream to any architect it would be like having Michael Angelo as artist and all the tools required to build the Sistine chapel. This would be ‘art’ in any sense of the word. Elegant and as precise as any mathematical model.  To developing markets like Asia, that are behind in their legacy technology this is a dream come true. Where and How? With the assistance of regulatory approvals/sandboxes and a dose of healthy competition (or incumbents hungry for MA), ‘white labelling’ technology and bringing together those ‘lego’ pieces becomes easier. The relevant licenses contributed by joint working relationships. Within an investment bank the custodian, working with the asset manager and broker/dealer to initiate an investment idea and execution all at the click of a button. Outside such an (investment banking) umbrella, players identifying relevant license holders to facilitate the same. To do what? First to improve on what’s in place by – integrating the digitization and tech enabled – client advisory, asset management operations and platforms and then applying AI to facilitate predictive analytics. Asset allocation being diversified across enough asset classes to minimize the risk of that ‘black swan’ event.  To an asset manager the possibilities, if understood well would be endless for example: Imagine AI being able to comb through research reports, and filing documents or rating reports to pre-empt an investment or rating upgrade/downgrade. Quantopian or Quanstore apply the same AI in coming up with trading ideas or initiatives. To a user/customer – to finally ‘tailor’ an investment strategy to meet their retirement goals or whimsically ride on the latest fad/wave – a taste of participation. Like Betterment or Motif Investing. Predictive analytics to find the next Google, Facebook, or Amazon.