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Data Science

What it means to be an Analytics Advisor in today’s data and computational environment

By Maria Singson | November 19, 2021
Today's businesses must derive insight from decentralized and multi-modal data near real time (NRT) in order to hyper-personalize customer interactions. There's a lot to unpack in this sentence: Businesses must be able to intercept the right...

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Data Science

Antifragility, Machine Learning, and Graph-Structured Data (Ontologies) – Part 3 of 3

By Prad Upadrashta | May 27, 2021
Antifragility is a strong criterion that says that if we experience shocks or unexpected variances in the inputs, the model performance (by whatever measure of performance you choose to use) will...
Data Science

Antifragility, Machine Learning, and Graph-Structured Data (Ontologies) – Part 2 of 3

By Prad Upadrashta | May 27, 2021
In the movie “The Core” [spoiler alert!] there is a great example (completely made-up, of course) of a theoretical element called (with tongue in cheek) Unobtanium. It has the unique property that...
Data Science

Antifragility, Machine Learning, and Graph-Structured Data (Ontologies) – Part 1 of 3

By Prad Upadrashta | May 26, 2021
A client recently asked if our entity matching algorithms are “antifragile”. This got me thinking. It is a really interesting question. Bear with me as I take you on a mind trip to explore this...
Data Science, Intelligence

Smart Ingestion: Using ontology-driven AI

By Prad Upadrashta | October 12, 2020
Our clients frequently complain that their understanding of their business is hampered by the fact that much of their vital data resides as ‘dark data’ in silos that don’t reside on traditional IT...
Data Science, Intelligence

Telling Stories in Data Science

By Prad Upadrashta | May 20, 2020
Communication is a key skill in any field. Without communication, we would be hard-pressed to drive change in an organization. We need to communicate ideas well to ensure that the people that help...
Data Science

The Cowboy Problem: How not to get shot - Part 2

By Prad Upadrashta | April 30, 2020
“I cannot live without brain-work. What else is there to live for?” – Sherlock Holmes I saw this challenge (minus the solution) being passed around in a WhatsApp message, and after solving it, it...
Data Science

The Cowboy Problem: How not to get shot - Part 1

By Prad Upadrashta | April 30, 2020
“My name is Sherlock Holmes. It is my business to know what other people don’t know.” – Sherlock Holmes Many people think that Data Science looks like this:
Data Science

(How) Can Business Problem be Solved Using Data Science?

By Prad Upadrashta | April 1, 2020
The goal of data science is to translate ALL business problems into scientific problems which can be managed and/or improved in a systematic data-driven way. It is the job of a data scientist to do...
Intelligence

The Value of Ontologies: A Visceral Understanding

By Prad Upadrashta | January 13, 2020
I often struggle to explain the value of ontologies to my clients. The word ‘ontology’ itself sounds complicated, academic, pompous, bombastic, and irrelevant. For that matter, the word bombastic...
Data Science

The Most Valuable Skills to Learn as a Data Scientist Today

By Prad Upadrashta | November 14, 2019
There are a certain set of timeless skills that one should aim to develop over the course of their career in the field of data science:
Data Science

The Magic of Data Science (Part 2)

By Prad Upadrashta | September 12, 2019
A two-blog series on what data science can do, with real world examples.
Data Science

The Magic of Data Science

By Prad Upadrashta | August 20, 2019
A two-blog series on what data science can do, with real world examples.
Data Science

The Brutal Truth about Data Science and Data Scientists (Part 2)

By Prad Upadrashta | July 12, 2019
A two-series blog by Prad Upadrashta, Ph.D., Chief Data Scientist, Mastech InfoTrellis
Data Science

The Brutal Truth about Data Science and Data Scientists

By Prad Upadrashta | June 26, 2019
A two-series blog by Prad Upadrashta, Ph.D., Chief Data Scientist, Mastech InfoTrellis Most data scientists and the organizations that employ them don’t seem to understand how data science is...

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