Misys solutions help the bank connect its front, middle and back office as well as get insights on their customers to better serve them.
Machine learning, along with cloud-first strategy, helps bank understand huge amounts of data.
Even though organisations in the country are highly aware of the need for digital transformation, they are slow to adopt technologies for it, shares IDC's Jubert Alberto ahead of the CIO Conference Philippines 2017.
Experts from KPMG, Deloitte and Hitachi Data Systems share why now is the right time for financial institutions to experiment and adopt RegTech, and how to do so.
Social intelligence is one of the biggest challenges for interactive robotics, along with our sky high expectations.
Mastercard demonstrates secure and convenient biometric card in South African trials.
The internet of things offers insurers a chance to collect better data and create new business models to engage consumers -- and reduce risks.
Lloyds aims to expose transactional data to customers as close to real time as possible.
A disadvantage of deep learning is that it is not very transparent, says Teradata CTO Stephen Brobst.
The robo-advisor went through a rigorous programming and testing process in a secure yet realistic environment for three months in order to provide answers accurately and quickly.
Amazon is getting deeper into the enterprise communications market.
Working with data scientists requires an alternative approach to business in which logic overrules creativity.
Admiring cognitive capabilities from afar is one thing, but building tangible business strategies to maximise an emerging market is another.
AI on the verge: Early adopters reap business benefits, as machine learning nears the mainstream
The task for the data scientists at Bloomberg is to make this ocean of information discoverable and relevant for its subscribers
The partnership allows SMEs to have real-time access to their financial data, which will help in making better business decisions
He added that the business came to the realisation that crunching data on the scale required would be difficult if it was to rely purely on its own data centre infrastructure.
The research programme is part of NTU’s Cyber Risk Management Project, a public-private project involving industry, academia and government
MAS’ Data Analytics Group will help the central bank to leverage analytics to improve their work, as well as promote data analytics capabilities within the financial industry.
Why and how banks should be more nimble in response to customer expectations?