5 reasons your Machine Learning Algorithm need a serious make-over

Fonetic Team
Friday, 17 May 2019 / Published in machine learning

Machine Learning (ML) has been the industry buzzword for a few years now. But, is this ‘fashionable’ AI technology really ‘flawed’ in its approach to regulatory compliance? Not to mention when covering best execution for MiFID II, MAR and Dodd Frank.

The RegTech landscape is changing, and fast. Are you ahead of the curve? 

AI superpowers outside of Silicon Valley

10 years of Fonetic Voice Surveillance in the trading room

Fonetic Team
Wednesday, 05 December 2018 / Published in fraud detection, compliance, machine learning, voice surveillance, Trading

Many banks feel that voice surveillance is still something reserved for the movies. Having been in production in trading rooms for 10 years now, we can safely say that it is a reality for those who have invested in it. In fact, we would go further to say that effective voice surveillance is not only possible, it's also accurate and in Fonetic's case, it's the most accurate on the market today.

Do you want to know how we did it? 

Ten years ago, a global bank asked Fonetic to extend their capabilities in voice analysis to the trading floor. Their aim was to automatically analyse every voice communication to check for misconduct or market abuse. They succeeded and 6 months later left behind voice sampling. We spent the following 9 years and 6 months running into stumbling blocks and overcoming them, developing a solution which is without doubt the most accurate voice surveillance software around for trading floor environments.

This article will show you why you should do the same with your voice surveillance.

What to consider when using artificial intelligence in capital markets



Artificial intelligence (AI) has come a long way since the 1950s when scientists first started exploring problem solving using computers. From the early beginnings of simple neural networks to the growth of Machine Learning, AI technology has touched nearly every industry, the Ffnancial markets are no exception.

Breakthroughs in deep learning and self-teaching algorithms are driving the AI boom we’ve seen in recent years and this has single-handedly revolutionised the financial technology (fintech) and regulatory technology (regtech) markets. Although it's important to embrace technological change, we need to understand how it works and how to use it properly.

First, let's take a step back. According to Forbes magazine, there are many definitions of AI and different industry leaders focus their research in various ways. The English Oxford Living Dictionary describes artificial intelligence as “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”

Artificial intelligence is essentially the science of training machines to perform human tasks. It allows machines to carry out repetitive high-volume tasks without getting tired. This is incredibly powerful both for optimizing workloads and reducing human error in monotonous tasks. However, the human touch is still essential to ensure its success. Manual inputs both before to set up the system, ask the right questions and after, to analyse the results, to ensure absolute precision.

Nowadays, we put a lot of faith in technology. Is it all good news? We need to understand how far it's come but also its limitations and how to manage them using a variety of methods and techniques.


Why Machine Learning Will Make Compliance Teams Far More Effective?

Fonetic Team
Wednesday, 13 December 2017 / Published in compliance, machine learning, regulatory compliance

Discussion of artificial intelligence (AI) , NLP and machine learning, in general, but also specifically in compliance, often revolves around how either or both technological developments will take over jobs carried out by humans. But it doesn’t have to be this way. In fact, AI and machine learning in compliance could actually go the other way by enabling compliance personnel to become even more important in combating fraud on the trading floor.

In this article we discuss how technology can give compliance professionals superpowers and look at the enormous benefits for financial organisations.

Regulatory interest in using AI and machine learning in compliance

The Financial Conduct Authority (FCA) has said that implementation of AI and machine learning technology will lead to “far more efficient regulatory compliance”. The UK regulatory body want to see a widespread implementation of machine learning and AI in compliance and are leading the way in their implementation.