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DBS to Ramp Up Intelligent Banking Capabilities

By Minjun Park
1 min read
DBS
DBS
In this article (5)

The bank is setting aside more funds to bolster infrastructure, talent and technology to deliver hyper-personalized experiences to better serve wealthy and retail customers.

DBS Bank aims to boost hyper-personalized experiences across its digital and physical touchpoints and will be investing S$300 million ($222 million) over the next year to boost its digital and intelligent banking capabilities.

This investment represents a 14 percent year-on-year increase, and will go towards enhancing tech infrastructure and talent, embedding predictive technology in more financial solutions to better empower self-directed customers, and scaling the bank’s capabilities across both online and offline touchpoints across the region, DBS announced on Tuesday.

According to the bank, its Intelligent Banking engine combines predictive analytics, artificial intelligence and machine learning technologies to transform raw data into personalized insights and nudges for every customer.

This predictive technology is currently used in its «Client Connect» frontline advisory tool, and to generate smart insights and nudges for retail and wealth customers on its digibank platform. DBS said it plans to scale the use of Intelligent Banking across other key markets and extend it to the its PayLah! app.

It’s still early days, but we are confident in the value-add that Intelligent Banking can bring to the banking industry, and we are in this for the long haul, Sim S. Lim, group head of consumer banking and wealth management, said.

Questions & Answers

Q.

What is the total amount DBS Bank is investing to enhance its intelligent banking capabilities?

A.

DBS Bank is investing S$300 million, which is equivalent to $222 million, over the next year. This funding aims to boost its digital and intelligent banking capabilities and enhance tech infrastructure.

Q.

How does DBS Bank define its Intelligent Banking engine?

A.

The bank describes its Intelligent Banking engine as a combination of predictive analytics, artificial intelligence, and machine learning technologies. This system transforms raw data into personalised insights and nudges for each customer.

Q.

Which existing tools currently utilise DBS's predictive technology?

A.

Predictive technology is currently used in the bank's 'Client Connect' frontline advisory tool. It also generates smart insights and nudges for retail and wealth customers on its digibank platform.

Q.

Which other platforms will Intelligent Banking be extended to in the future?

A.

DBS plans to scale Intelligent Banking across other key markets. It will also extend its use to the bank’s PayLah! App, according to their announcement.

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