29 July, 2020 | Digital Conference

The AI and Data Science in Trading Digital Day is a virtual event bringing together leading minds and industry experts from within asset managers, hedge funds and investment banks.  Join us from wherever you are around the world hear the latest in AI tech, Machine Learning processes and analytical techniques to generate alpha and retain a competitive edge.

Digital Day July – Machine Learning Case Studies

Today, some of the best performing hedge funds in history are powered by ML. As the asset management industry catches up with breakthroughs in ML, there are still considerable challenges such as (amongst others): adjusting to markets in real-time, managing tail-risk events, explaining machined-led decisions to your investors, keeping up with the models themselves and knowing when to intervene. 

We will explore these challenges with practical and commercial use-cases from industry leaders.

 
Session 1 – Fireside chat with Marcos Lopez de Prado, True Positive Technologies and Richard Craib, Numerai 
10am EST/ 3pm BST
For decades, traditional quant funds have dominated the systematic investments industry. This has changed in recent years, with the emergence of Machine Learning (ML) as the primary tool for data analysis, forecasting market movements, asset allocation, order execution, and ultimately to improve efficiency across their investment strategies. We explore the latest tools and technologies that are helping funds remain competitive and operate more efficiently and accurately.

Session 2 – What would you do with your data if privacy wasn’t a concern?
11am EST/ 4pm BST
Using sensitive data is challenging. Traditional data prep and governance workflows either completely restrict access or simply remove too much information for effective downstream use. This demo shows how the standard of differential privacy changes this paradigm. Both data owners and data consumers benefit, seeing measured improvement in both the ability to use previously inaccessible data, and establish quantified understanding of any privacy risks that may exist during that use. Join us to learn why top buy and sell side firms are partnering with LeapYear to gain competitive advantage from sensitive data assets.

Wednesday 29th July 2020 – Machine Learning Case Studies 
Machine Learning has swept through the industry for data analysis, forecasting market movements for asset allocation and ultimately to improve efficiency across their investment strategies. For years this has been dominated by quant funds, however the value created by ML is undeniable by all. As the industry progresses there are still considerable challenges such as (amongst others): adjusting to markets in real-time, explaining machined-led decisions to your investors, keeping up with the models themselves and knowing when to intervene. We explore the latest tools and technologies that are helping funds remain competitive and operate more efficiently and accurately.

Wednesday 26th August 2020 – Alternative Data 
Increasingly Fund Managers are using unconventional datasets to drive alpha generation and risk management processes. We will investigate how to unlock the value that alternative datasets can generate, the increasing use of climate data and also utilising these new datasets alongside more traditional financial data to shape their strategies. Access to these datasets has also increased, yet it still remains a challenge to find good quality data and remain competitive.

Wednesday 30th September 2020 – Quantamental Strategies  
Many firms are using blended fundamental strategies with a quantitative approach, but there are still pitfalls and challenges in grasping the best way to adapt. Funds still need to deal with the behavioural changes they encounter as well as ensuring they are utilising technology effectively in their investment decisions. We will discuss the perennial debate of the optimum blend of strategies and how to augment existing expertise.

Richard Craib

Richard Craib

Founder

Numerai

Marcos Lopez de Prado

Marcos Lopez de Prado

Founder

True Positive Technologies

Jeremy McGee

Jeremy McGee

VP of Solutions Architecture

LeapYear

How do I join the online conference?

Register above using the form and your login will be emailed to you the day before the event. Your session access links and final agenda will be emailed to you prior to the conference.  

How much does it cost to attend?

AI & Data Science in Trading Digital Days are completely free to attend.

Where is it located?

This is an online conference, which means that it can be accessed anywhere in the world through a desktop, laptop, mobile device or tablet.  Audio and presentation viewing is accessed through an internet connection.

Can I access the slides post-event?

All presentations will be available after the conference via the on-demand recording link.   We will share all on-demand links with registered attendees after each Digital Day.

For more information on how AI & Data Science in Trading Digital Week is uniquely placed to help you shape and deliver your message to a targeted audience contact us now!

Moira Robertson, Sales Director, AI & Data Science in Trading Digital
moira.robertson@alphaevents.com