Podatki so gorivo, ki bo poganjalo rast AI & Open Finance

Podatki so gorivo, ki bo poganjalo rast AI & Open Finance

Izvorno vozlišče: 3005770

Umetna inteligenca bo imela potresen učinek na finančne storitve. McKinsey ima

napovedano
da bi lahko umetna inteligenca bankam vsako leto zagotovila "priložnost za ustvarjanje vrednosti do 20 bilijonov dolarjev". Accenture tudi

trdili
da bodo na 90 % vseh delovnih ur v bančni industriji "vplivali" veliki jezikovni modeli, kot je ChatGPT, in napovedali, da bi lahko polovico vsega delovnega časa v sektorju avtomatizirali. 

Na nedavnem Campfire Open Banking Excellence (OBE) je Michael Borrelli, direktor AI & Partners, dejal: "V dobi, ko so podatki olje, bo AI nov motor z notranjim zgorevanjem."

Data will be the great enabler of AI. Open Banking and Open Finance lets that data securely flow between lenders and their customers. Together, these two paradigms can unlock the power of data to drive fairer, faster and more accessible financial services
as well as significant industry growth. 

Velika priložnost za rast velikih bank

At the Campfire, Karen Wall, EMEA Open Banking Product Lead at J.P. Morgan, discussed the financial giant’s work in this exciting space. It has collaborated with a range of fintechs working on AI, looking at use cases such as payment processing and accessing
wider “collective intelligence,” which it describes as “a collaborative ecosystem where shared data is more powerful than the sum of its parts”. 

Ena od glavnih priložnosti, ki jo je izpostavila Karen, je bila »samovozeča zakladnica«, v kateri se umetna inteligenca uporablja za avtomatizacijo upravljanja in gibanja denarja ter ustvarjanje vpogledov v realnem času, ki »spodbujajo bolj smiselno odločanje na ravni likvidnosti«. 

»Lahko izkoristite nekatere vpoglede, ki jih dobite pri Open Banking ali Open Finance,« je dodala. 

Karen also shared some superb learnings for banks that are deploying AI, suggesting they consider setting up their product stack to deliver good outcomes for both direct customers and the wider ecosystem. Banks should carefully consider how they are collecting
intelligence and gathering data from across the institution. Siloes need to be broken down to provide shared views of how AI is deployed across different lines of business. Strict governance models must ensure data is used and consumed safely. Firms should
also provide transparency for end users so that they know how their data is being used. When using a Large Language Model, careful thought should be given to the data that is used to train it so that bias is mitigated.  

Karen added: “Those are key components that everyone should have in the back of their mind. If we deploy this technology, and for some institutions, it is early days, so they’re still learning as they go. But those are core tenets of their business today.
How are you deploying products to market, what technology are you using and what information is informing that deployment and oversight of the product to ensure good outcomes?”

Resnične koristi umetne inteligence za stranke 

"Umetna inteligenca je bila uporabljena za pomoč kirurgom pri sprejemanju boljših in hitrejših odločitev za zdravljenje njihovih pacientov," je povedala Suzanne Homewood, izvršna direktorica za odločanje pri Moneyhubu. "V našem svetu gre za to, kako lahko sprejemamo boljše odločitve za stranke."

 Suzanne said AI could help everyone from underwriters to customer service agents serve customers more effectively by automating routine tasks and leaving human employees free to pay attention to “outlying cases such as people who need [personalised] support,
rather than a broad brush approach”. 

She also emphasised the ability of AI and data analytics to enhance decision-making, leading to better efficiency, cost control, and fraud reduction. She noted that one lender observed a 15% dropout rate in applicants identified as fraudulent through Open
Banking. Loans made with better-informed decisions that use open banking data to assess affordability perform up to 50% better than other loans, Suzanne continued. AI and data not only benefit consumers but also aid organisations in offering improved products
and services, thereby enabling business growth and wider financial inclusion. 

"Ljudje bodo še vedno obstajali in še vedno bomo morali držati ljudi za roke," je dejala. 

Pozitivne znake prihodnje rasti je mogoče opaziti v spreminjajočem se pogledu mlajše generacije na izmenjavo podatkov.

Suzanne je nadaljevala: "Mlajša generacija, ki dostopa do finančnih storitev, ima popolnoma drugačen odnos do podatkov ... Dokler razumejo, kaj bodo imeli od tega, so ljudje pripravljeni deliti svoje podatke."

Navdih industrije: AI v zavarovalništvu 

 AI is transforming the insurance industry. The industry collects a vast amount of data, including historical claims, credit scores, and social media activity. AI can harness this data to enhance insurance products and services. Its impact will be particularly
notable in areas like professional indemnity, directors and officers, cyber, and crime policies, said Natalie Simpson, Claims Manager at Protean Risk.

In areas like motor and home insurance, AI is already being used to accelerate claims processing. For example, AI can assess damages from photos and expedite payouts. Despite these benefits, AI in insurance will require continuous oversight to manage how
it learns and makes decisions. Natalie agreed that the human touch would be vital in some interactions. 

She said: “Having all that data and the ability to analyse data patterns can detect and prevent fraud as well as improving customer experience and free up that workforce to have one-to-one contact with their customers. However, I think we’ve all been in
those situations where you’re stuck in a call cycle of trying to get through to a person or you’re just talking to a chatbot. It’ll be difficult to completely erase humans.”

The future is bright – and not very far away. ChatGPT shows us how quickly disruptive change can occur and shift the ground beneath our feet at unprecedented speed. After its launch at the end of 2022, it achieved 100 million monthly active users in just
dva meseca.

AI in Open Finance bosta spodbudila enega od naslednjih velikih izbruhov gospodarske rasti. Kot država, ki je postavila načrt za odprto bančništvo, ima Združeno kraljestvo priložnost, da se znajde v središču te supernove. 

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