Background

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 and how it impacts Financial Markets is a growing area of research. The field has recently progressed further with many new “alternative” data sources, such as email receipts, credit/debit card transactions, weather, geo-location, satellite data, Twitter, Micro-blogs and search engine results. AI & ML are gaining adoption in the financial services industry especially in the context of compliance, investment decisions and risk management.

This is a sophisticated conference that 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 and exploiting IP in the finance domain.

Attend this event and earn GARP/CPD credit hours.

UNICOM has registered this program with GARP for Continuing Professional Development (CPD) credits. Attending this program qualifies for 7 credit hours. If you are a Certified ERP® or FRM®, please record this activity in your Credit Tracker.

  • 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
  • Benefit from the experience of world class presenters from the UK, US, Europe and India/Hong Kong
  • 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
  • Enjoy excellent networking opportunities throughout the days with all participants, including presenters, investors and exhibitors.

Subscribe for updates

Call for Participation

We are inviting speakers – thought leaders, subject experts and start up entrepreneurs – to share their knowledge and enthusiasm about their work and their vision in the field of AI, Machine Learning, Sentiment Analysis and Deep Learning.

Please complete the speaker’s response form and submit a proposal to present at this event.

Code of Conduct & Diversity

UNICOM’s Code of Conduct & Views on Diversity

We at UNICOM strive to be a leading provider of knowledge to the business community and to engage the global business community as a specialised provider of knowledge. We strive to do this maintaining a culture of co-operation, commitment and trust. We want every UNICOM conference and training day to be a safe and productive environment for everyone – a place to share research and innovation and to build professional networks. To that end, we will enforce a code of conduct throughout all our events. We expect cooperation from all participants to help ensure a safe environment for everybody.

Our approach is that our events are dedicated to providing a harassment-free experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity or religion. We do not tolerate intimidation, stalking, harassing photography or recording, sustained disruption of sessions or events, and unwelcome physical contact or sexual attention. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, Twitter and other online media. Event participants violating these rules may be sanctioned or expelled from the event without a refund at the discretion of the conference organisers. Please bring your concerns to the immediate attention of the event staff.

Diversity: In our endeavour to be the provider of knowledge to the business community, we understand that this depends on hearing from and listening to a variety of perspectives that come from people of all races, ethnicities, genders, ages, abilities, religions, sexual orientation, and military service. We welcome diverse speakers for all our events, we do not always fully achieve this goal, but it is an ongoing process.

Read more…

Programme

  • -

    Opening Remarks

    DK Aggarwal, Chairman & MD, SMC Investments & Advisors Ltd

    Speakers:

    DK Aggarwal

  • -

    Plenary Presentation: Finding Alpha Signals with Artificial Intelligence + Influencer Analysis + Big Data

    Anders Bally, CEO, Sentifi and Abhishek Sharma, Sales Director, Sentifi India

    This presentation is about how new AI methodologies like Deep Learning, the maturing Big Data Technologies and the fast emerging Information Sharing Culture can help investors to more efficiently discover, monitor and potentially predict Asset Valuation Drivers.

    Speakers:

    Abhishek Sharma

    Anders Bally

  • -

    Blowing Bubbles: Quantifying how news, social media and contagion effects drive speculative manias

    Richard Peterson, Managing Director, MarketPsych

    In this talk Dr. Richard Peterson describes how media analytics are providing new insights into the origins and topping process of asset price bubbles. Examples from price bubbles including the China Composite, cryptocurrencies, housing, and many others will be explored. Recent mathematical models of bubble price action will be augmented with sentiment analysis. Attendees will leave with new models for identifying and taking advantage of speculative manias and panics.

    Speakers:

    Richard Peterson

  • -

    Panel: Alternative Data

  • -

    Moderator: Abishek Sharma/Anders Bally, Sentifi

    Speakers:

    Abhishek Sharma

    Anders Bally

  • -

    Panellists

    Richard Peterson, Managing Director, MarketPsych

    Gautam Mitra, CEO, OptiRisk System & Visiting Professor, UCL

    Speakers:

    Gautam Mitra

    Richard Peterson

  • -

    Equity Trading Strategy using Sentiment and Technical Indicators

    Xiang Yu, Chief Business Development Officer and Gautam Mitra, CEO, OptiRisk System & Visiting Professor, UCL

    We compute daily trade schedules using a time series of historical equity price data and applying the powerful mathematical concept of Stochastic Dominance. In contrast to classical mean-variance method this approach improves the tail risk as well as the upside of the return. In our recent research we have introduced and combined market sentiment indicators and technical indicators to construct enhanced RSI and momentum filters. These filters restrict the choice of asset universe for trading. Consistent performance improvement achieved in back-testing vindicates our approach.

    Speakers:

    Gautam Mitra

    Xiang Yu

  • -

    Use of AI and ML in security

    Mr. Somasundaram K S, Chief Enterprise Risk Officer, NSE

    Speakers:

    Mr. Somasundaram K S

  • -

    Fintech in India: Powering a Digital Economy

    Manish Jain, Partner, KPMG

    Speakers:

    Manish Jain

  • -

    Panel: Fintech Landscape in India

  • -

    Moderator: Manish Jain, Partner & Head of Digital Strategy, Fintech and Innovation, Blockchain and Business Transformation, KPMG

    Speakers:

    Manish Jain

  • -

    Panellists

    Rajib Ranjan Borah, CEO, iRage Capital

    Vivek Bajaj, Co-founder StockEdge

    Prof Ashok Banerjee, IIM Calcutta

    Speakers:

    Rajib Ranjan Borah

    Vivek Bajaj

  • -

    Artificial Intelligence – The journey in a nutshell and what lies ahead

    Krishma Singla, Senior Managing Consultant, IBM Watson

    Through use case examples, Krishma sums up the journey of Artificial and Augmented Intelligence to date, with particular focus on finance. She describes new developments in fintech and other related areas that demonstrate how the finance industry is evolving with AI and other modern technologies

    Speakers:

    Krishma Singla

  • -

    Curating the type of data for Machine Learning Viability

    Utpal Chakraborty, Head of AI, Yes Bank

    ♦ Importance of data management and data processing: Impacting the variables
    ♦ Lack of data or missing data for machine learning models: Sourcing internally or externally
    ♦ Identifying where financial institutions have the data sets to conduct deep learning
    ♦ Practicalities of using machine learning to create the data required: Quality consistency issues and more

    Speakers:

    Utpal Chakraborty

  • -

    Prediction of Distress using Text of Corporate Filings

    Prof Ashok Banerjee, IIM Calcutta

    Using the qualitative information present in corporate annual reports of companies registered and operating in India, we have systematically evaluated the language and content of annual reports, particularly text and observed that the negative sentiments in the qualitative information starts increasing approx. 3-4 years before the year of credit default event and remains very high after the credit default event. The finding is based on a text-based analytical model that evaluates three sections of a corporate annual report- Directors Report, Audit Report and Notes to Accounts.

    Speakers:

    Ashok Banerjee

  • -

    Panel: Impact of AI in Finance

  • -

    Moderator: Prof Ashok Banerjee, IIM Calcutta

  • -

    Panellists

    Krishma Singla, Senior Managing Consultant, IBM Watson

    Utpal Chakraborty, Head of AI, Yes Bank

    Speakers:

    Krishma Singla

    Utpal Chakraborty

  • -

    Enhanced prediction of sovereign bond spreads through macroeconomic news sentiment

    Christina Erlwein-Sayer, Senior Quantitative Analyst & Researcher, OptiRisk Systems

    Sovereign bond spreads are modelled taking into account macroeconomic news sentiment. We investigate sovereign bonds spreads of European countries and enhance the prediction of spread changes by including news sentiment. We conduct a correlation and rolling correlation analysis between sovereign bond spreads and accumulated sentiment series and analyse changing correlation patterns over time. These findings are utilised to monitor sovereign bonds, predict spread changes in an ARIMAX model and highlight changing risks. The results are integrated in the SENRISK tool, a DSS for Bond Risk Assessment.

    Speakers:

    Christina Erlwein-Sayer

Speakers & Panellists

DK Aggarwal

Chairman & MD, SMC Investments & Advisors Ltd

Anders Bally

CEO, Sentifi

Ashok Banerjee

IIM Calcutta

Vivek Bajaj

Director, Kredent Ventures

Rajib Ranjan Borah

CEO iRage, India

Utpal Chakraborty

Head of AI, Yes Bank

Christina Erlwein-Sayer

Senior Quantitative Analyst & Researcher, OptiRisk Systems

Manish Jain

Partner, KPMG

Mr. Somasundaram K S

Chief Enterprise Risk Officer, NSE

Gautam Mitra

CEO, OptiRisk System & Visiting Professor, UCL

Richard Peterson

Managing Director, MarketPsych

Abhishek Sharma

Sales Director, Sentifi India

Krishma Singla

Senior Managing Consultant, IBM Watson

Xiang Yu

Chief Business Development Officer

Sponsors

Sentifi Gold Sponsor
StockEdge
MarketPsych

Knowledge Partners

Supporting Bodies

 
 

Media Partners

 

 

Event Partner

Tickets

4 people attend for the price of 3

  • Use the coupon code "UNI443" when booking.

Pricing

  • Very Super Early Bird until 21 December 2018 -
    9,000+GST
  • Super Early Bird until 19 January 2019 - 12000+GST
  • Early Bird until 9 February 2019 - 13500+GST
  • Standard Price - 15000+GST
  • Buy Ticket

Combined discounted price

Contact Us

Event will start in