BLOGS


Chatbot Maya is now on Messenger


Posted by Vishnu Vardhan Chikoti

Posted on 17-Apr-2019 16:39:59


Couple of months ago, I posted about a chatbot Maya that can answer basic capital markets questions. The chatbot was only accessible on Telegram at that time.

The chatbot is now accessible on Facebook Messenger with the same id MayaBOBot.

Below are the details of Maya is you missed the last post.

Maya is a chatbot which can answer basic Capital Markets domain questions, primarily focussed on the Back Office areas. It is built to help developers, BAs, testers and support personnel with quick access to information they need and greatly improve productivity. They can ask the what, why, how, who, where, etc about various types of instruments, various types of parties, various BO processes and related terms, SWIFT Messages, key SWIFT tags and qualifiers, corporate actions, accounting and key regulations. Maya aims to eliminate the wasted time in searching for information in intranet/internet or waiting for an in house expert to help.

Technically, Maya is powered by a Natural Language Understanding (NLU) model trained with more than 600 entity/value pairs across 6 intents. Maya is available with the id MayaBOBot on Telegram. This is still a beta version of the bot though.

Below are sample questions that Maya can handle.

what is equity trading

what is a limit order

how is an order placed

what is order matching

what is a csd

Who is a clearing agent

What are confirmations

what is confirmation matching

what is affiliate clearing

what is dvp settlement

what is meant by T+3 settlement

how does a trade settle

who is a prime broker

What is swift MT540

who sends mt546 message

how is a SWIFT MT564 message sent

What are CA claims

what is CA record date

what is double entry accounting

what is MIFID 2


About the author

Vishnu Vardhan Chikoti is a co-author for the book "Hands-on Site Reliability Engineering". He is a technology leader with diverse experience in the areas of Application and Database design and development, Micro-services & Micro-frontends, DevOps, Site Reliability Engineering and Machine Learning.

With an ability to conduct deep analysis, strong execution skills and an innovative mindset, he has successfully led R&D teams to build engineering solutions to improve reliability of applications. He also has deep expertise in building high volume transaction processing applications for middle & back office functions at Investment Banks using a variety of architectures.

He has been part of leadership teams in driving Site Reliability Engineering transformation and Agile transformation.

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