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DESCRIPTION:Exploring applications of AI/ML in Fintech
X-WR-CALDESC:Exploring applications of AI/ML in Fintech
NAME:Use Cases and Risks of ML in Capital Markets
X-WR-CALNAME:Use Cases and Risks of ML in Capital Markets
REFRESH-INTERVAL;VALUE=DURATION:PT12H
SUMMARY:Use Cases and Risks of ML in Capital Markets
TIMEZONE-ID:Asia/Kolkata
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BEGIN:VEVENT
SUMMARY:Use Cases and Risks of ML in Capital Markets
DTSTART:20231223T103000Z
DTEND:20231223T113000Z
DTSTAMP:20260421T132717Z
UID:session/TaQjDpAoNsEr2HbUDaT6cm@hasgeek.com
SEQUENCE:16
CREATED:20231220T105015Z
DESCRIPTION:### About the talk\nQuantitative methods for returns forecasti
 ng\, financial instrument pricing and optimal portfolio allocation have be
 en used in capital markets for several decades. Since early 2000\, due to 
 digitization and the launch of electronic platforms there has been a major
  increase in data collection capabilities. With easy availability of vast 
 amounts of data on capital markets transactions and on economic fundamenta
 ls\, it has become possible to train ML algorithms and use them for foreca
 sting returns\, in investment selection for optimal portfolio construction
 \, for trading activities and efficient trade execution.\n\nIn this talk\,
  Rachna will discuss a few use cases of ML in capital markets activities s
 uch as trading and investment along with discussion of associated risks an
 d caveats.\n\nSlides: https://docs.google.com/presentation/d/1GRjbknQQH78Z
 StTcFZPNGGXcyFLPI0ek/\nDemo code: https://drive.google.com/file/d/12IUVXOs
 pf06SOZ7qUCEpQo32kRoca4-J/view?usp=drive_link\n\n### Key takeaways for the
  audience\n1. An overview of ML applications in trading and investment act
 ivities.\n2. Illustrative examples of a few recent innovative use cases of
  ML in trading and investments.\n3. Risks and caveats associated with thes
 e ML applications.\n\n*Have questions for the speakers? [Leave a comment](
 https://hasgeek.com/anthillinside/use-cases-and-risks-of-ml-in-capital-mar
 kets/comments).*\n### About the speakers\n[Rachna Maheshwari](https://www.
 linkedin.com/in/rachna-m-675b4724/) works as a Practice Lead in Financial 
 Risk Modelling with Crisil (S&P Global) in their global risk consulting pr
 actice and teaches Quantitative Finance as visiting faculty at institution
 s in Mumbai. Currently\, besides working as a quantitative finance consult
 ant\, she is working on thought leadership activities as well as capabilit
 y development in applications of ML in finance to support her business ver
 tical’s consulting practice in this area.\n\n[Rumanu](https://www.linked
 in.com/in/rumanu-bhardwaj/) will be moderating the talk. She is a Machine 
 Learning Researcher who has spent her weekends for the past five years at 
 tech meetups and conferences\, her interest peaking at the intersection of
  adtech and data privacy preservation. She toys around with humor(ous?) NL
 P usecases when not hitting comedy open mics to be a better tech speaker.\
 n\n### RSVP and venue\nThis session will be held online on the 23rd of Dec
 ember from 4 pm - 5 pm. You can RSVP to participate via Zoom or watch the 
 livestream on YouTube.\n\n### About the AI and Risk Mitigation series\nThi
 s session is part of the AI and Risk Mitigation series which will host mee
 t-ups/talks on healthtech\, fintech\, agritech\, and ed-tech and public se
 rvices. These will be a mix of online and hybrid sessions. Takeaways from 
 these sessions will be used to develop a knowledge repository in the form 
 of practical guidelines and a self-regulated charter for Ethical AI.\n\n##
 # How you can contribute\n1. Post a comment here to suggest a topic you’
 d like to discuss. This should involve a brief outline of the use cases an
 d challenges regarding AI implementation.\n2. Moderate/discuss a topic som
 eone else is proposing.\n3. Spread the word among colleagues and friends.\
 n4. Join The Fifth Elephant [Telegram group](https://t.me/fifthel) or [Wha
 tsApp group](https://chat.whatsapp.com/KJPmJsMC0MO7r1v9cRdZfu).\n\n### Abo
 ut Anthill Inside\nAnthill Inside is a community where topics in AI and De
 ep Learning such as tools and technologies\, methodologies and strategies 
 for incorporating AI and Deep Learning into various applications and busin
 esses\, and AI engineering are discussed. Furthermore\, Anthill Inside pla
 ces a strong emphasis on exploring and addressing ethical concerns\, priva
 cy\, and the issue of bias both in practice and within AI products.\n\n###
  Contact\nFollow us on Twitter at [@anthillin](https://twitter.com/anthill
 in). For inquiries\, [leave a comment](https://hasgeek.com/anthillinside/u
 se-cases-and-risks-of-ml-in-capital-markets/comments) or call Anthill Insi
 de at +91-7676332020.
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DESCRIPTION:Use Cases and Risks of ML in Capital Markets in 5 minutes
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