Data scientists, IT teams, and the business professionals should work together when deploying emerging technologies and data science models. Otherwise, they may be setting themselves up to fail.
In the era of big data, standards take too long to adopt, say industry participants.
Experts from IBM and Bank of China say they're on the lookout for this emerging threat, as machine learning gains in popularity.
Instead of waiting for data quality to be sufficient to power AI models, those at the cutting edge are building models to bridge the gaps in the data, and apply it to more sophisticated use cases.
Anthony Malakian looks at the industry’s digital rights project and new tech platforms that aim to revolutionize the capital markets.
Banks are focused on making work-from-home life more secure, but how can these projects be used to improve the customer experience going forward?
PanAgora and Manulife have incorporated alternative datasets and internal industry handbooks, respectively, into their ESG strategies.
The Paris-based bank has developed a coding environment to help democratize tech development, and is exploring virtualization.
Eric Tham of the National University of Singapore said during the Innovation Exchange that explainability is an afterthought at banks when they develop their AI-driven models. Unsurprisingly, some bankers did not agree.
Anthony looks at how the lines that have traditionally defined the world of "fintech" are blurring. Also, can blockchain help with ZTA's advancement?
Emerging tech is proving its worth since the Covid-19 outbreak, and are swaying skeptics towards even greater adoption, panelists said.
Wei-Shen and Tony are joined by Jo Wright and Max Bowie to discuss office-space issues, ESG's development, and innovation in Asia.