Here is how and why IBM’s Watson cognitive computing helps DBS Bank to deliver a next- generation client experience.
As a one of the leading financial services groups in Asia, with over 250
branches across 16 markets, DBS has to assume its position in terms of
performance, accessibility and market share. Its growing presence in the three
key Asian axes of growth: Greater China, Southeast Asia and South Asia required
great resources and technologies.
Based on this reality, IBM Watson will help DBS’ relationship managers
analyze large volumes of complex unstructured and structured data, including
research reports, product information and customer profiles; identify
connections between customers’ needs and its growing corpus of investment
knowledge, and help advisors weigh
various financial options available to
customers.
DBS also intends to apply Watson to its wealth management business to improve the advice and experience
delivered to affluent customers.
In the same momentum, DBS’ implementation of IBM’s cloud-based Watson Engagement
Advisor solution, targeted for rollout in the second half of the year,
comes as the bank continues to execute on strategy to be a leading regional
wealth player.
Connectikpeople.co also observes that, DBS will leverage a portfolio of IBM
solutions which include business consulting, advanced analytics, hardware and IBM Research assets to further augment the power of
Watson.
About IBM’s Watson Cognitive
Computing
Nearly three years after its triumph on the television quiz show Jeopardy!,
IBM has advanced Watson from a game playing innovation into a commercial
technology. Now delivered from the cloud and able to power new consumer and
enterprise apps, Watson is 24 times faster, smarter with a 2,400 percent
improvement in performance, and 90 percent smaller – IBM has shrunk Watson from
the size of a master bedroom to three stacked pizza boxes.
Named after IBM founder Thomas J. Watson, IBM Watson was developed in IBM’s
Research labs. Using natural language processing and analytics, Watson
processes information akin to how people think, representing a major shift in
an organization’s ability to quickly analyze, understand and respond to Big
Data. Watson’s ability to answer complex questions posed in natural language
with speed, accuracy and confidence is transforming decision making across a
variety of industries.