Use of Artificial Intelligence and Machine Learning in Risk

Use of Artificial Intelligence and Machine Learning in Risk
Professional Risk Managers' International Association (PRMIA), Mumbai Chapter cordially invites you to a Webinar on “Use of Artificial Intelligence and Machine Learning in Risk Management”.
 
  Date:
June 25, 2021

  Time:
5:30 PM to 7.00 PM IST

 

 Session Length:
90 minutes

 

Faster. Better. Cheaper. These words describe a key mandate placed on the Global Financial Services Industry by our customers, shareholders, regulators and society at large.  It has been a strategic imperative for our Industry to constantly evolve and innovate in order to deliver these outcomes, in all of our processes, services and services, by leveraging a wide range of emerging technologies.  One such technology trend, that has caught the imagination of both our internal as well as external stakeholders in recent years, is the use of Artificial Intelligence and Machine Learning Technology.   These technologies have been rapidly adopted by a wide range of Industries and Sectors and these are becoming fairy ubiquitous- as members of the public have started experiencing them first hand , through a wide array of consumer offerings in sectors as diverse as transportation, e- commerce and entertainment.

The Financial Services industry is no exception, and a large number of firms have started offering hi- tech digital solutions leveraging such technologies – for example through real time underwriting and approvals for loans and cards, digital account opening , online purchase of insurance, online wealth management advice and execution of mutual funds transactions  . Hence , these technologies are no longer seen as mythical , as they no longer conjure up images of humanoid robots, for most of us . However, there is a still a level of mystique surrounding them , since many of us don’t quite know exactly what these technologies are or how best they may be leveraged. This is equally true for those of us who are engaged in the field of Risk Management.

In order to address this gap – i.e to understand what these technologies are and how these may be used to improve the quality of risk management in the Financial Services Industry and how we may deliver on “ Faster. Better. Cheaper”, PRMIA Mumbai is organizing a Webinar on “ Use of Artificial Intelligence and Machine Learning in Risk Management” .  The seminar brings together a wide range of Domain Experts, Thought Leaders and Industry  Experts , representing the creators of these solutions,  their users and adopters and those who advise and connect the two . They will help shed light on the typical use cases, challenges, benefits , best practices and opportunities, relating to the adoption of these technologies and the solutions in which they are embedded. They will present these in insights through a series of case studies and their individual experiences and perspectives. These will cover global best practices as well as local nuances and flavours.  In attendance will be Senior Executives and Industry Leaders from Regulatory Bodies, Leading Banks, Insurance Companies, Asset Management Companies , NBFCs, Risk Professionals, Academics and Students.

Use of AI and ML in Risk Brochure
 

Agenda  
  Time   Event  
 
     
  17:30
  Registration
 
 
     
  17:30-17:40           
  Welcome & Opening Remarks
Shantanu Srivastava, Regional Director, PRMIA
 
 
     
  17:40 – 17:55
  Key Note Speech
Mrutyunjay Mahapatra, Member Governing Council RBI Innovation HUB, Former CEO Syndicate Bank, Deputy Managing Director & CIO State Bank of India
 
 
     
  17:55 - 18:10   Presentation
Dhritiman Shukla, Partner Risk Consulting , PwC

“What is AI/ ML , how can it be used for Risk Management , Typical use cases from India” 
 
         
   18:10 - 18:30   Panel Discussion -“Experience of Leading Indian Organizations in implementing AI / ML based solutions in Risk Management”

Moderator:

Ms Sreedevi Pillai, Chief General Manager – Risk Management, State Bank of India

Panelists:

Mr Arvind Shahi, Chief Risk Officer, Ageas Federal Life Insurance Company
Ms Sanchita Mustauphy, Chief Risk Officer, Tata Capital  
Mr Raghuvir Mukherji, Senior Executive VP, Head Risk Management & Wealth Compliance, IIFL Wealth and Asset Management 
 
         
  18:30 - 18:50    Presentation By Fatbrain, Global leader in Risk Solutions using AI/ ML
Mr John Bethell, Strategic Advisor
Dr Wei Ouyang, MD Risk and Valuation, FatBrain LLC

“Developer’s perspective , International Best Practice, case studies and use cases” 
 
         
  18:50 - 19:00   Open House / Q And A   
         
  19:00    Vote of Thanks
Dr. Nirakar Pradhan, CEO – India, PRMIA 
 
         


PLEASE CLICK ON THE LINK BELOW FOR REGISTRATION

Registration Link:  https://prmia-riskhub.srichid.academy/webinar-registration

Joining Instructions: After registration , you will receive a separate link to join the event from the email id “[email protected]”. Please save this in your calendar and use  it for joining the event. Please log in 5 minutes in order to enjoy a smooth experience. The webinar is being organized via Google Meets. While you do not need to download this app in advance, and can join simply by clicking on the joining link that you will receive, please make sure in advance that your device or your organization’s IT system does not bar this access. Please log in 5 minutes early in order to enjoy a smooth experience.  


Continued Risk Learning Credits: 1

PRMIA Continued Risk Learning (CRL) programs provide you with the opportunity to formally recognize your professional development, documenting your evolution as a risk professional. Employers can see that you are not static, making you a highly valued, dynamic, and desirable employee. The CRL program is open to all Contributing, Sustaining, and Risk Leader members, providing a convenient and easily accessible way to submit, manage, track and document your activities online through the PRMIA CRL Center. To request CRL credits, please email [email protected].org.

 
When
6/25/2021 8:00 AM - 9:30 AM
Where
Virtual Chapter Event
 

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