datacarriere.com

From evolution to revolution: The transformative effect of generative AI in banking

Nieuws
15-04-2024
Alex Kwiatkowski
As the old saying goes, "You wait ages for a bus and then two [or possibly three] come along at once." This saying can be updated to reflect life in our increasingly digital world: "You wait ages for a genuine disruptive technology and then two [or possibly three]arrive simultaneously."

As the old saying goes, "You wait ages for a bus and then two [or possibly three] come along at once."  This saying can be updated to reflect life in our increasingly digital world: "You wait ages for a genuine disruptive technology and then two [or possibly three]arrive simultaneously."

This phrase succinctly captures the transformative effects of generative AI (GenAI) and its key underlying elements: Large language models (LLMs), synthetic data generation, and digital twins.

A report from Accenture highlights that banks are more likely to benefit from the highest GenAI productivity gains than any other industry in the US. McKinsey estimates that banking has an annual potential increase in GenAI-driven value of between $200 billion and $340 billion (nine to 15 percent of operating profits) as a result of improved productivity (with the most significant gains coming in the sub-sectors of retail and corporate), it’s clear that GenAI is a genuine game-changer like no other.

HFS Research, a respected independent analyst firm, surveyed enterprise leaders and found that by 2025, GenAI’s impact will be bigger than every other major technological breakthrough in history, surpassing the printing press, steam engine, the internet, and the smartphone. For something that’s only existed for a relatively short time, that’s quite an accolade. And all available evidence points to this being reality rather than hyperbole.

Lees verder >>


Gerelateerde vacatures

Geïnteresseerd in een carrière bij organisaties in ditzelfde vakgebied? Bekijk hieronder de gerelateerde vacatures en vind de perfecte match voor jou!
ASN Bank
4.552 - 6.070
Medior
Utrecht, hybride
Als Medior Data Scientist Anti-Financial Crime bij ASN Bank bouw je AI- en machine learning-modellen en datapipelines voor transactiemonitoring, KYC en sanctiewetgeving. Je werkt in het AIKI-team aan het hele...
ING
5.677 - 9.137
Senior
Amsterdam
As Information Modeler - Analyst at ING's Global Customer Domain you design conceptual and logical customer data models, analyse business data requirements and define business definitions, taxonomy and reference data....
Bunq
Marktconform
Medior
Amsterdam, hybride
As Data Scientist Marketing at bunq you own the machine learning models that predict the value of every newly verified user and feed that value into Google Ads. You build,...
Achmea
3.323
Starter, Junior
Meerdere locaties
Als IT Management Trainee bij Achmea werk je aan innovatieve IT-projecten en persoonlijke ontwikkeling. Je voert vier diverse opdrachten uit binnen een breed technologisch speelveld, ondersteund door een mentor. Het...