Finalytica Jan-2018

A quick preview of developments in Analytics and AI space in India in 2017

  • Amazon Web Services adds AI to cloud by adding services such as image analysis, visual search, speech recognition among others
  • Google is upping its stake in India big time on AI and ML with Cloud India Region by announcing setting up its first cloud region in Mumbai within this year.
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Fund Transfer Pricing

What is a Fund Transfer Pricing System and why is it needed?

A Funds transfer pricing (FTP) is the process through which banks

and other financial institutes allocate their earnings to the various lines of businesses in which they are engaged.Continue reading

Happenings in AI, Analytics & Fintech world: December 2017

  1. Stock Exchanges in India are exploring the opportunity to venture beyond the current businesses to create data repository services, Artificial Intelligence or a big data analytics eco-system. Last week, the Bombay Stock Exchange and the National Stock Exchange sought Securities and Exchange Board of India (SEBI)’s permission to form a separate entity to take on these businesses.
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Primitives for AI

Let’s say I want to build a financial market prediction model based on news flow. The current way to do this is:

  • Collect lot of news articles
  • Collect financial market movement data
  • Use machine learning models (black-box or otherwise) to predict markets from news

This is not a scalable model of operation for building AI/ML solutions.

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Out-of-core Analytics using MonetDB

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Most often than not, the amount of data one needs to analyse will fit in a hard disc. It may not fit in memory though. That’s where databases and out-of-core analytics solutions (like SAS) trump over in-memory solutions like R or Pandas (Python) for analytics.… Continue reading

Columnar DBs: Future of Structured Data

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Contrary to popular perception, structured data analytics still forms a big potion of overall analytics/big data activity. Although unstructured data (text, data with variety etc.) is gaining more and more importance, structure data (transactions, numeric data etc.) still gives a lot of actionable insights for businesses.… Continue reading

Machine learning: what is and what is not

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As elaborated earlier, Artificial Intelligence and machine learning are two different things. For a 19th century man even a simple calculating machine could constitute AI. But we all now agree that even more advanced computer algorithms are not machine learning but human intelligence codified into machine.

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