Artificial Intelligence in Practice - Deploying AI Systems into a Live Environment. What are some of the key considerations when deploying Artificial Intelligence and Machine Learning-based systems into a production environment?
The complexities surrounding the Banking, Finance and Insurance sector today have led to a significant growth in the use of grid computing and high-performance computing (HPC) for computationally-intensive tasks. What are the key considerations that firms should take into account when putting together the necessary infrastructure to support their computationally-intensive needs?
The third video in our series on trade surveillance processes and technologies. In this we take a look at what the future holds, in particular how artificial intelligence, machine learning and behavioural modelling approaches can help predict and prevent manipulative or abuse market activity.
As firms prepare for new regulation, capturing and storing transaction data will no longer be enough. Regulators will also want to see granular data on quotes, accurately timestamped. This will present substantial technological hurdles. What kind of cost-effective solutions cans firms put in place, and what are the benefits to be gained by taking a […]
Francesco Lo Conte, Managing Director of Esprow, discusses challenges that firms face around the testing of trading algorithms under MiFID II, and lays out some best practices in how to address those challenges.
In this paper, Dan Barnes and Mike O’Hara of The Realization Group investigate the real-world applications of AI within financial business today, taking use cases from experts in the field and exploring the choices firms need to face in order to overcome hurdles in implementation. Speaking with Rael Cline of MediaGamma, Jonty Field at Quantitative […]
The complexities surrounding the Banking, Finance and Insurance sector today have led to a significant growth in the use of grid computing and high-performance computing (HPC) for computationally-intensive tasks. These are many and varied, and include areas such as derivative pricing, risk analytics, quantitative modelling, portfolio optimisation, and bank stress testing.
The use of Artificial Intelligence is becoming increasingly widespread in the financial services industry. Whether it’s in the research and development of trading strategies, analysis and management of risk, or assisting with regulatory and compliance functions, there are a growing number of use cases for AI and machine learning. What are the implications of this […]
Escalating regulatory obligations demand that financial market participants take a smarter, more proactive approach to spotting abusive trading patterns, with many looking to explore the use of machine learning and artificial intelligence to automate monitoring and anticipate threats. In this article, Mike O’Hara and Chris Hall of The Realization Group hear from Certeco’s Nick Gordon, […]
Women smallholder farmers form the backbone of Malawi’s agricultural workforce, yet their average productivity per hectare still remains far lower than that of their male counterparts. In this article, Mike O’Hara and Nicola Tavendale of The Realization Group discuss with Hirander Misra of GMEX Group and FinComEco, Kristian Schach Møller of the Agricultural Commodity Exchange […]