Financial Evolution: AI, Machine Learning & Sentiment Analysis, organized by UNICOM, is a conference that is held globally on Artificial Intelligence & Machine Learning in Finance wherein distinguished speakers from across the globe share their experiences and insights in this field.
Due to the COVID situation, this event is being held online from November 4-5, 2020.
Top researchers and subject experts will discuss Alternative Data in FinTech, Sentiment Analysis, Artificial Intelligence, Machine Learning and Deep Learning.
Artificial Intelligence and Machine Learning (AI & ML) and Sentiment Analysis are said to ‘predict the future through analysing the past’
the Holy Grail of the finance sector. They can replicate cognitive decisions made by humans yet avoid the behavioural biases inherent in humans.
Processing news data and social media data and classifying (market) sentiment & how it impacts Financial Markets is a growing area of research. The field has recently progressed with many new ‘alternative’ data sources, such as email receipts, credit/debit card transactions, weather, geo-location, satellite data, Twitter, Micro-blogs & Search engine results. AI and ML are gaining adoption in the financial services industry especially in the context of compliance, investment decisions & risk management.
This conference not only interrogates and explores the implications of AI & ML in the financial services industry but also goes on to identify the investment opportunities of sharing knowledge & exploiting IP in the finance domain.
Few Highlights of the Programme:
Learn how you can benefit from the unprecedented progress in technological advances for yourself and your company
Find out about the impact of Quantum Computing and Alternative Data
Gain exclusive insights into pioneering projects in AI, Machine Learning & Sentiment Analysis in Finance
Programme includes the latest state-of-the-art research, practical applications and case studies
Book your tickets by clicking here
For more information about the Conference and bookings, please write to [email protected]