The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.
Working in asset management and other financial jobs? Looking forward to a long career? Forget about it. Machine learning and artificial intelligence (AI) are coming for you (think robots) and ...
WEST LAFAYETTE, Ind. — Purdue University is offering a new series of Data Science in Finance courses focusing on applications of data science and machine learning to solve modern financial problems ...
Now artificial intelligence is pushing finance into another phase. It may decide who gets credit, warn when a household is ...
As financial crime risks evolve, including those risks posed by the use of AI and other emerging technologies, so too must firms’ financial crime compliance response. It is unsurprising, therefore, ...
Technology in financial services can be somewhat of a double-edged sword. On one side, new technological innovations, like artificial intelligence (AI) and machine learning (ML), are striving to make ...
The course emphasizes interpretable machine learning techniques and their applications in the financial services industry. Students will develop machine learning models, explain model predictions, and ...
Finance teams are processing more transactions than ever. But risk oversight has not kept pace. According to the Association ...
As advisors continue to show excitement for the potential of artificial intelligence, the financial services industry is focused on how to make the most of the burgeoning technology in the years to ...
The financial sector is anticipated to experience a notable surge in fraudulent activities, leading to projected losses exceeding $40 billion by 2027. This increase marks a significant uptick from ...
MAS is conducting a proof-of-value (POV) exercise to explore the use of AI and machine learning in pre-emptive scam detection ...
Deepfakes — also known as synthetic media — can be used for more than impersonating celebrities and making disinformation more believable. They can also be used for financial fraud. Fraudsters can use ...