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 October – NLP and Deep Learning Processes 

Advanced analytics tools like NLP are being used more and more to add value to the investment process by quant and fundamental investors and helping them identify key information from a broader range of data. We will explore the latest tools and techniques, as well as discussing how to recruit the best talent to make this happen.


NLP Technology and Techniques for Automation-Enabled Analysts
9am EDT/1pm GMT
Tanvi Sahay, AI Researcher, will discuss specifically how AI, NLP, and ML are changing workflows and impacting how quant and fundamental investors use automation to reveal insights from filing reports and earning transcripts at scale. TMT investor, Charles Zvibleman, will then discuss real-life examples and demonstrate how automation is changing the work of an analyst.

Speakers:
Tanvi Sahay, AI Researcher, AlphaSense
Charles Zvibleman, Public Equities Investor

How to train a computer to make moral judgements
10am EDT/ 2pm GMT 
Applying AI to ESG
This is the story of how Liquidnet Investment Analytics built an ESG platform that contains systems that pass moral judgments on companies. Along the way, there is an exploration of what good means, what bias is and how to teach a computer to overcome its natural prejudices to become a fair and ethical arbiter.
Speakers:
Steven Nichols, Head of NLP, Liquidnet
Hugo Martay, Quantitative Analyst, Liquidnet

NLP Panel: Utilizing NLP to forecast market movements 
11am EDT/3pm GMT 
- How to deploy NLP models for more accurate text analytics, conversational AI and sentiment analysis
- Benefits of hybrid approach of using both neural networks and rules-based models
- Overcoming the need for large and specific quantities of training data in leveraging neural networks
Moderator:
Javed Ashraf, Principal, co-lead Portfolio Manager, BlackBox Alpha Management
Panelists:
Alejandra Litterio, Chief Research Officer NLP and Deep Learning, Eye Capital
Paul Ross, SVP Marketing, Sentieo
Aakarsh Ramchandani, SVP, Corporate Strategy, RavenPack

Fireside Chat
12pm EDT/ 4pm GMT

Speakers:
Mike Chen, Director of Portfolio Management, PanAgora Asset Management
Maurizio Garro, Senior Lead – IBOR Transition Programme, Lloyds Banking Group

Alejandra Litterio

Alejandra Litterio

Chief Research Officer NLP and Deep Learning

Eye Capital

Aakarsh Ramchandani

Aakarsh Ramchandani

SVP, Corporate Strategy

RavenPack

Steven Nichols

Steven Nichols

Head of NLP

Liquidnet

Hugo Martay

Hugo Martay

Quantitative Analyst

Liquidnet

Paul Ross

Paul Ross

SVP Marketing

Sentieo

Charles Zvibleman

Charles Zvibleman

Public Equities Investor

Consultant

Tanvi Sahay

Tanvi Sahay

AI Researcher

AlphaSense

Mike Chen

Mike Chen

Director of Portfolio Management

PanAgora Asset Management

Maurizio Garro

Maurizio Garro

Senior Lead – IBOR Transition Programme

Lloyds Banking Group

Javed Ashraf

Javed Ashraf

Principal, co-lead Portfolio Manager

BlackBox Alpha Management


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.

Wednesday 28th October 2020 - NLP and Deep Learning Processes 
Advanced analytics tools like NLP are being used more and more to add value to the investment process by quant and fundamental investors and helping them identify key information from a broader range of data. We will explore the latest tools and techniques, as well as discussing how to recruit the best talent to make this happen.

Wednesday 25th November 2020 - Sustainable investing and risk management 
With the rise of ESG measures and green technologies, firms are looking more at sustainable investing and a rethink of strategy. ESG data has traditionally been measured and monitored as a risk management tool, however it’s starting o be utilised more and more to generate alpha. We will discuss using ESG data as both a risk management tool, but also as a means to increased ROI. 

Wednesday 16th December 2020 - Data
As the industry matures, and companies are recruiting an increasing number of advanced analytics’ professionals, the discriminating feature in remaining competitive will increasingly be what data is used, how it’s combined with data from other sources and how effectively information can be extracted from it. It’s important to take a deeper look at data quality ad your data strategy to make sure you’re optimising your returns.

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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