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.

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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.

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Programme

  • 08:30 -

    Coffee & Registration

  • Morning Chair: Professor Gautam Mitra, CEO, OptiRisk Systems/Visiting Professor, UCL -

    Speakers:

    Gautam Mitra

  • 09:00 -

    Introduction & Opening Remarks

    Gautam Mitra, CEO, OptiRisk Systems/Visiting Professor, UCL
    DK Aggarwal, Chairman & Managing Director, SMC Investments & Advisors

    Speakers:

    DK Aggarwal

    Gautam Mitra

  • 09:15 -

    PLENARY - Finding Alpha Signals with Artificial Intelligence + Influencer Analysis + Big Data

    Abhishek Sharma, Sales Director (India), Sentifi

    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

  • 09:50 -

    Blowing Bubbles: Quantifying How News, Social Media and Contagion Effects Drive Speculative Manias

    Richard Peterson, CEO, 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

  • 10:15 -

    Panel 1: Alternative Data

  • -

    Moderator: Gautam Mitra, CEO, OptiRisk Systems

    Speakers:

    Gautam Mitra

  • -

    Panellists

    Richard Peterson, CEO, MarketPsych

    Abhishek Sharma, Sales Director (India), Sentifi

    Madhusudan Subramanian, CIO, Azimuth Research

    Speakers:

    Abhishek Sharma

    Madhusudan Subramanian

    Richard Peterson

  • 10:45 -

    Coffee

  • 11:15 -

    Security Risk Management Using Machine Learning Algorithms

    K S Somasundram, Chief Enterprise Risk Officer, NSE

    Securing an organization needs exceptionally skilled people and solutions to detect threats before they manifest. This is managed by collecting vast amounts of data from across the infrastructure and analysing them to show deviations/patterns for potential threat exposures. With an increase in complexity of such analysis, it is not practical for humans to deal with the volume and velocity of data flow generated by a variety of systems. Traditional correlation engines are limited in their capacity to analyse unstructured data and study patterns. The use of big data platforms and ability to run regression analysis in a real-time basis on unstructured data has opened a new domain in detection technologies that can customise, adapt and predict abnormalities in patterns and behaviour. This talk is about exploring opportunities in designing such a solution in a critical national infrastructure.

    Speakers:

    K S Somasundaram

  • 11:45 -

    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

  • 12:15 -

    Equity Trading Strategy using Sentiment and Technical Indicators

    Gautam Mitra, CEO, OptiRisk Systems/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

  • 12:45 -

    Lunch

  • Afternoon Chair: Xiang Yu, Chief Business Development Officer, OptiRisk Systems -

    Speakers:

    Xiang Yu

  • 13:45 -

    Doing Business in Malta

    Anthony David Gatt, Manger - Investment Promotion, Malta Enterprise

    This presentation explains how Malta has set up its financial infrastructure so as to enable Blockchain to flourish.

    Speakers:

    Anthony David Gatt

  • 14:00 -

    Fintech Landscape in India

    Manish Jain, Partner, KPMG

    KPMG and Nasscom published a report in September 2018 focusing on “Fintech in India: Powering a Digital Economy”. This presentation highlights the salient aspects of the report and its findings.

    Speakers:

    Manish Jain

  • 14:20 -

    Panel 2: Fintech Landscape in India

  • -

    Moderator: Manish Jain, Partner, KPMG

    Speakers:

    Manish Jain

  • -

    Panellists

    Vivek Bajaj, Founder, StockEdge

    Rajib Borah Ranjan, CEO, iRage Capital

    Senthil Gunasekaran, Head of BFSI, ETFs & Retirement Product Solutions, HDFC Asset Management

    Speakers:

    Rajib Ranjan Borah

    Senthil Gunasekaran

    Vivek Bajaj

  • 15:00 -

    Tea

  • 15:30 -

    The Rise and Rise of UPI

    Santanu Paul, CEO, TalentSprint

    If India is rapidly emerging as a world power in FinTech, full credit must be given to the digital payments revolution unleashed by the Unified Payment Interface (UPI). Designed and launched by the National Payments Corporation of India (NPCI), the volume of UPI transactions has exploded in the last one year, surpassing all expectations. What is fueling the UPI revolution? Why are Banks and FinTechs adopting UPI at an unprecedented rate? What do consumers like so much about it? This presentation will provide a bird's eye view of the UPI growth machine.

    Speakers:

    Santanu Paul

  • 16:00 -

    Role of AI in the Financial Service Industry’s "Red Queen Race"

    Anand Subramaniam, Principal Architect, Artificial Intelligence Practice, Aspire Systems

    ♦ Current day BFS are still very account centric in nature.
    ♦ BFS has a direct competition from Retail tech giants who attract more customers.
    ♦ So BFS has to be on a Red Queen’s Race to match the competition.
    ♦ Machine Learning and AI can help BFS not only be in the race but win it as well.

    Speakers:

    Anand Subramaniam

  • 16:30 -

    Panel 3: Impact of AI in Finance

  • -

    Moderator: Vivek Zakarde, Head of BI, Analytics & DWH, Reliance General Insurance

    Speakers:

    Vivek Zakarde

  • -

    Panellists

    Utpal Chakraborty, Head of AI, Yes Bank

    Anand Subramaniam, Principal Architect, Artificial Intelligence Practice, Aspire Systems

    Santanu Paul, CEO, TalentSprint

    Speakers:

    Anand Subramaniam

    Santanu Paul

    Utpal Chakraborty

  • 17:15 -

    Close; Networking & Soft Drinks

Speakers & Panellists

DK Aggarwal

Chairman & MD, SMC Investments & Advisors Ltd

Vivek Bajaj

Director, Kredent Ventures

Rajib Ranjan Borah

CEO iRage, India

Utpal Chakraborty

Head of AI, Yes Bank

Anthony David Gatt

Manger - Investment Promotion, Malta Enterprise

Senthil Gunasekaran

Head of BFSI, ETFs & Retirement Product Solutions, HDFC Asset Management

Manish Jain

Partner, KPMG

Gautam Mitra

CEO, OptiRisk Systems/Visiting Professor, UCL

Santanu Paul

CEO, TalentSprint

Richard Peterson

Managing Director, MarketPsych

Abhishek Sharma

Sales Director (India), Sentifi

K S Somasundaram

Chief Enterprise Risk Officer, NSE

Madhusudan Subramanian

CIO, Azimuth Research

Anand Subramaniam

Principal Architect, Artificial Intelligence Practice, Aspire Systems

Xiang Yu

Chief Business Development Officer, OptiRisk Systems

Vivek Zakarde

Head of BI, Analytics & DWH, Reliance General Insurance

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

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