Artificial intelligence
A call to arms – How machine intelligence can help banks beat financial crime
The revolution in artificial intelligence promises new leads in banks’ fight against dirty money. Alexander Campbell of Risk.net hosted a live online forum, in association with NICE Actimize, to investigate the applications of this emergent technology
Disruptive change in US power markets: Identifying risks and embracing opportunities in the new world of digital
Power markets worldwide are experiencing disruptive changes on a bigger scale and with greater speed than many had anticipated. Now, more than ever, it is essential to understand opportunities and risks associated with these changes
How machine intelligence can help banks beat financial crime
Faced with massive financial crime challenges, many banks have responded by scaling up their functions. However, these investigations take way too much time and require unending growth in person-power
Risktech start-ups struggle to clinch big-bank contracts
Light on cash, risk management fintechs face an extended gauntlet most won’t survive
UBS’s CRO on the hunt for hidden risks
Swiss bank has rung the changes in its attempt to catch hard-to-measure risks, but “you are never safe”, warns Christian Bluhm
Why robo-advisers need artificial stupidity
Smarter algorithms can’t stop us making bad investment decisions – yet, writes Andrew Lo
‘People who bought this swap also bought Apple’
Dealers hope personalisation algos will help them cut sales costs, but data gaps could be a problem
Symphony bots march on Bloomberg
New chat system touted as sales and trading game-changer, as banks build hundreds of add-ons
Rise of the cyborgs: tech remakes the front office
Dealers “have no choice” but to change, says UBS’s Orcel – and plenty of changes are coming
OK, computer? Hurdles remain for machine learning in credit risk
Concerns over cost, applicability and oversight give pause to banks’ use of ML techniques in credit risk
If regulations don’t bend, they’ll break
Financial regulation should be adaptive, not reactive, argues Andrew Lo
Quant manager spurns vendors’ machine learning software
Ex-head of algo trading at JP Morgan says machine learning processes should be built internally
Machine learning study points way to smarter beta
‘Boosted trees’ method uses same metrics as conventional factor investing but mixes them in new ways
Compliance must keep pace in AI arms race
Bank compliance departments’ computational firepower must be a match for trading desks, says expert
Regulators need to adopt AI for monitoring, experts say
Growing bank usage of artificial intelligence means authorities must hasten adoption themselves
Sustainable investing boom lifts demand for new data
One trendy investment approach reinforces another
Neil Dodgson on artificial intelligence
Sponsored video: Neil Dodgson, IBM Watson Financial Services
Podcast: Quantum computing to boom in next three to five years
Quant speaks of collaboration with Nasa and machine-learning algos for yield curves
AI models prompt banks to strengthen governance
Risk managers want ‘transparency and clarity’ around AI-based models
Banks explore new data techniques to tackle money laundering
Artificial intelligence in tandem with human analysis seen as effective for know-your-customer
The changing face of European power trading
Webinar: FIS
Risk management on course to move beyond cost centre
Video Q&A: Neil Dodgson, IBM Watson Financial Services
Quants warn over flaws in machine learning predictions
Six quants debate whether the tool can adjust to paradigm shifts in financial markets