I.T. News – Jan 20, 2025

1 - Can a computer learn to Speak Trader

The phrase "Can a Computer Learn to Speak Trader?" refers to the efforts of compliance software firms to develop artificial intelligence (AI) systems capable of understanding and interpreting the specialized and often coded language used by financial traders. This initiative aims to enhance the detection of illicit activities within financial communications.

Context and Significance:

• Trader Jargon: Traders frequently use industry-specific slang, abbreviations, and coded language, including the use of emojis and deliberate misspellings, to communicate. This unique vernacular can be challenging for traditional monitoring systems to decipher, potentially allowing unethical practices to go undetected.

• Regulatory Scrutiny: Financial regulators are intensifying their oversight of trading communications to identify and prevent market abuses. In response, compliance software companies are leveraging AI to analyze vast amounts of trader communications, aiming to accurately interpret the nuanced language and detect any indications of misconduct.

AI Integration in Compliance Monitoring:

• Advanced Language Models: Companies like Behavox and Global Relay are at the forefront of developing AI tools trained on extensive industry-specific data. These tools are designed to understand and translate trader vernacular, including coded phrases and emojis, thereby improving the accuracy of monitoring systems.

• Beyond Traditional Lexicons: Traditional compliance systems relied on static lists of trigger words, which often resulted in false positives or missed subtle cues. Modern AI systems aim to comprehend the context and semantics of trader communications, reducing manual oversight and enhancing the detection of financial misconduct.

In summary, the phrase encapsulates the ongoing efforts to equip computers with the ability to understand and monitor the complex and evolving language used by traders, thereby strengthening compliance and regulatory frameworks in the financial industry.

2 - Can a Computer Learn to Speak Trader?

Compliance software firms are pushing artificial intelligence to decode Wall Street’s near-impenetrable jargon

By Richard Vanderford. WSJ. Jan. 17, 2025.

Microsoft and Google can translate, say, Spanish to English, but who can translate finance speak?

Up-and-coming compliance software firms are leaning into artificial intelligence to help crack esoteric trader argot, as Wall Street and London watchdogs increasingly dive into traders’ jargon-loaded and even coded messages to help fight financial crime.

Financial conspiracies are often built on the clandestine communications between financial professionals in which they agree to, for example, rig an interest-rate benchmark or increase the price at which a currency is trading.

Even an educated lay person would need an insider to explain the lingo used between traders. But compliance software companies are rushing to provide firms with AI tools that enable their systems to outsmart crooked traders.

Behavox, a London-based compliance software company that sells to large banks, hedge funds and other firms, offers tools that can ingest the huge amount of messages that financial firm employees generate and look for the financial crime needle-in-the-haystack of jargon-laden, everyday work.

Compliance staff can use the Behavox tool to input a chat between two traders and receive an explanation of what their slang means and whether they are potentially trying to do something illicit. The language models the tool uses were trained almost the way a student would be trained, by exposing them to regulatory websites, securities filings and other sources to take them beyond the subject-matter depth of a generalist AI tool, said Chris Bauer, the head of technical services at Behavox.

Behavox can also translate from other languages so that an English-speaking compliance staffer in New York, for instance, could

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Episode 3872 - Jan 21 - Tiếng Anh - Công nghệ Thông tin – Ngày 20 tháng 1, 2025 - Vina Technology at AI time