‘There is so much hype and confusion surrounding AI and alt data at the moment.’
The AI & Data Science in Trading conference separates the hype from the reality’
Professor David Hand, Imperial College, London’
Finding alpha has always required asset managers to ‘raise the bar’ in terms of technology.’
Today, the combination of endless new data sources, cheap computing and new AI techniques is powering fundamental change. Being the first to deploy a winning strategy from a particular data set (or group of data sets) requires asset managers to have learnt new skills, built new teams and mastered the latest computing techniques.’
Artificial Intelligence and Data Science in Trading‘is the event for senior management from hedge funds and investment banks to discover how to maximize this opportunity.’
You will learn from’50 world-class speakers, from leading asset management companies, academia and technology providers.’
In addition to the individual speaker sessions and panel debates, the many networking opportunities allows you to meet with peers and international experts who’s focus and challenge are completely aligned with yours.’
Topics include: Alt Data:
Get to grips with the very latest sources, techniques and signal extraction methods within the alternative data landscape. Hear the experts debate the future of alt data and how you can generate continued value from it.’
Data:
Understand how you can source, maximize and manage data. This is the life blood flowing through your fund, your models and your trading strategy. Make sure you are up to speed with the very latest in data management strategies.’
Quant for Fundamental Strategies:
Hear these market leaders discuss the future of fundamental investing. What are the best ways to layer the latest technology onto human instinct and fundamental research. Can there ever be a winner between man and machine or will the blended approach always prosper?’
Quantitative Strategies:
Years of experience in statistical analysis and modelling are now being converted into new and exciting methods with unique models, algorithms and data. But can your models capture and react to market shifts and regime changes?’
AI/ML Research & Practical Applications:
Get the very latest research, thinking, and practical applications of AI&ML. And the direct impact they could have on the models you use to generate alpha.’
Risk:
How are you adapting traditional risk models to systematic strategies? How will AI& ML impact your risk models and frameworks? Stay on top of the next generation of risks that newer AI/ML techniques are bringing whilst maintaining control of your existing investment risk.’
The potential presented to investment banking is both a profit opportunity (via increased flexibility and speed) as well as a cost reduction play (reduced headcount via automation).’
Either way, technology is a critical competitive differentiator and attending AI & Data Science in Trading will allow you to benchmark your business and create a winning strategy.’
For more information and to view the full program visit: www.aidatatrading.com”
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