The Fourth Industrial Revolution, through which emerging technologies converge to push the boundaries into uncharted territory, has already begun, and data is the fuel that is powering it. Forward-looking banks are not just riding but driving the wave, discovering and implementing the many advantages that vastly improved multi-channel analytics of today’s deluge of data offers.

Cyberattacks have become one of the biggest threats, not only to business but to society at large. Cybercriminals, hacktivists and nation states are now capable of deploying malicious code to bring down everything from corporates to critical infrastructure in an instant.

With Brexit just around the corner, the European banking sector is under significant pressure to forecast and mitigate potential economic shocks. Given the levels of uncertainty over possible outcomes whilst the details of any potential deal (or no-deal) still to be confirmed, how forewarned can banks actually be without testing hundreds of possible permutations? 

The rapid adoption of artificial intelligence and machine learning in all corners of the financial sector, particularly in anti-money-laundering (AML) efforts, has excited and inspired onlookers and participants alike. But as with all innovations, there are pitfalls to unquestioning acceptance that can actually worsen the situations these technologies are meant to address. Human intelligence must work cooperatively and in the lead role alongside AI and ML to guarantee the best results.