Articles | Blogs | Papers

26th July 2021

Landscape on AI Standardization by EUOS

Contributed to the Landscape of AI Standards, first of a series of Reports on ICT standards, published by the EU-funded, StandICT.eu 2023 Project, as part of EU Observatory for ICT Standards (EUOS).

Google Books • 24th July 2021

Real-Time Agility - refers UCP Estimation by Gautam Banerjee

My 2001 publication on UCP Methodology for Estimation referred by 'The Harmony/ESW Method for Real-Time and Embedded Systems' by Bruce Powel Douglass published by
Pearson Education, 09-Jun-2009.

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26th July 2021

Data Science Trends 2020

Co-author of the Data Science Global Trends report jointly conducted by LAA, Data Science Foundation and Business Brio across 127 countries

26th July 2021

Data Science: A Learning Handbook

Data Science today is a hot subject today because of its sudden evolution in the last couple of years and the realization of its capability to unravel hidden insights out of information dump that we have. The zeal is also because of the huge employment opportunity that has come up due to the Data Science and Analytics divisions being set-up by most of the corporates to remain competetitive in the market. As an outcome, many institutes and departments have started offering courses in Data Science

26th July 2021

New Work World Norms for Data Science

Co-author of Survey report on new working norms for the Data Science fraternity.

26th July 2021

UCP Estimation Model

Winner of the 'Best of The Best paper' award in annual IPML conference, Orlando 2004, the paper reports the mode of usage and benefits of Use Case Estimation Model.

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25th July 2021

Marketing Analytics

The importance of product development, customer satisfaction as well as brand awareness has made ‘analytics’ presence significantly felt and marketing is no longer limited to just customers searching for a product.

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25th July 2021

How Big is Big Data

Statistics is the “grammar of data science.” It is crucial to “making data speak coherently.”

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25th July 2021

Moore's Law & Data Science

The importance of Moore’s law as applied to data isn’t a theory anymore.

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25th July 2021

Caveats with Data Analytics

The combination of large data sets and observational data means that data analysis activities are often at risk of drawing misleading inferences. In this article we describe five of these dangers.

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25th July 2021

Conflux of Big Data and conventional data analytics

Big data continues to be the topic of much interest and hype, and companies that will pave ways to analyze big data and integrate it with traditional data will find that the benefits are very real and disproportionate.

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25th July 2021

Treatment of Missing Values in Survey Analysis

Missing data in survey research are a reality and faced by researchers and analysts often.

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25th July 2021

Big Data Analytics in Telecom Sector

Big Data Analytics is a must to understand and appreciate the telecom clientele. With customers living second lives on the digital front, it makes sense to use that data to leverage ones business. Furthermore, Big Data is here to stay in the Telecommunications Sector- Why not make the most of it?

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25th July 2021

BIG DATA

Every day we create about few quintillion bytes of data. 90% of the data in the world today has been created in the last 2 to 3 years alone. The sudden burst in growth of data can be attributed to: posts to social media sites, digital pictures and videos, purchase transaction records, cell phone GPS signals, sensors used to gather climate information to name a few. This data is BIG DATA.

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25th July 2021

Challenges of Big Data

Business users need to properly understand and make sense of the data their business produces. The big data paradigm must be made useful to business; rather than being just a corporate conversation turning into another FAD.

Photo by Tima Miroshnichenko on Pexels

24th July 2021

BI vs Analytics

What’s the difference between Business Analytics and Business Intelligence? The correct answer is:
everybody has an opinion, but no one is wrong nor there is just one perfect answer.