We have developed Recommendation engine, Rumor Engine and Sentiment analysis engine using Machine Learning.

1. INTERVIEW FOR : SABY UPADHYAY

2. 1.WHAT IS YOUR PRODUCT AND HOW IS IT
DIFFERENT FROM OTHERS IN THE MARKET?
 We have developed Recommendation engine,
Rumor Engine and Sentiment analysis engine using
Machine Learning.
 Recommendation Engine could be used for retail
Business to recommend products to a customer like
Amazon.com does it or recommends movies to
viewers like Netflix does it. We can also build
catalog of products for a group of customers.

3.  Idea here is that we use the data to learn from the
behavior of customers and use that to predict the
behavior in the future and make use of it for
recommendation.
 ·Rumor engine can crawl web site to get
information client will be interested in.

4.  Sentiment analysis engine could be customized for
Businesses to understand the sentiment of people
related to their products, organization etc
 ·Generally this area is only focused by internal IT of
big players like Amazon, Walmart ,Microsoft etc and
there are not many companies offering it to the
smaller clients like licensing/services model

5. 2. HOW DID YOU COME TO DEVELOP IT.
WHAT'S THE BACKGROUND TO YOUR FIRM?
While we were working at our algorithms in our
proprietary trading firm we had to deal with huge
amount of data, say 1 to 3 terra byte per day. We
used to analyse that data and in the process we
learnt about Hadoop and its ecosystem.

6. We learnt about machine learning in the process of
data mining and trying to get at insight using many
algorithms over 3 years. So we have used our
knowledge in the Machine learning, big data and
distributed computing environment to build various
libraries, which helps us to develop various engines
that will provide solutions to real life problems.

7. 3. WHAT HAS THE BIGGEST CHALLENGE BEEN
IN GETTING UP AND RUNNING.
 The technology which we are using requires multi
disciplinary knowledge, from mathematics, statistics
to distributed computing platforms and
programming languages.
 We have programming background and the rest we
needed to learn ourselves
 ·We have cloud services like AWS and open source
environment like Hadoop which negated the
challenges

8. 4.BIG DATA AND ANALYTICS ARE A PARTICULARLY
HOT SPACE RIGHT NOW, WHAT KIND OF
INTEREST/ATTENTION HAVE YOU BEEN RECEIVING
FROM CUSTOMERS AND FROM THE INDUSTRY?
This area is very hot and we have immense interest
shown by lots of customers and industry folks. We
are working with many clients to provide solutions at
this point at various levels from POC to prototyping,
hosting it on cloud etc.

9. 5.WHAT ARE YOUR LONG-TERM AMBITIONS FOR
THE COMPANY AND/OR ITS TECHNOLOGY?
 Machine learning has been around. This is the
same technology used by US post offices to read
mail addresses. Google uses this technology to
provide advertisement. Google is trying to use the
technology to come out with a driverless car.
 We are trying to make this available to small and
medium non IT savvy Businesses to help improve
their businesses.
 ·We want to bring Machine Learning to all walks of
life of people.

10. If you want to know more information about him,
please visit
https://www.facebook.com/sabyasachi.upadhyay