Blogs

Explore novel concepts in the field of data and analytics

Top Pick

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...

Latest posts

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: ...
Data Science

Consumer Confidence after the COVID Crash – Is pent-up demand really backed with money?

By Maria Singson | July 23, 2021
The year and a half after the COVID crash has left consumer confidence adrift on a never-before-seen kind of bubble. This one is different from what the Baby Boomers rode in the late 90s leading...
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

Can Knowledge Graph Extend Battery Life in Electric Vehicles? You bet.

By Maria Singson | March 31, 2021
The ultimate innovation in electric vehicles is extending battery life without sacrificing the driving experience. In a highly competitive market, now more than ever, convincing consumers to...
Data Science

AI Accelerators for a Better Electric Vehicle Usage Experience

By Maria Singson | March 5, 2021
Let’s not get stranded! In today’s rapidly expanding Electric Vehicle (EV) market, an EV charging company wanted to capture a more significant market share. With recent studies predicting a 10%...
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

Knowledge Graphs for Fraud Detection - Use Case

By Deepti Soni | September 4, 2020
Financial frauds are expensive, not just in terms of the money involved, but also for poor customer experience and loss of customer trust. There are many types of financial frauds, such as...
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...
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, Intelligence

Big Data Analytics and augmented patient care

By Aradhana Pandey | July 25, 2019
Why Big Data in Healthcare is so required?
Data Management, Data Science

Governed Data Lake for Customer Critical Data Analytics

By Vaishakh.R | July 25, 2019
Overview Retail chains that have brick and mortar stores as well as online platforms often struggle in identifying the customers visiting their site. Even with all the information available at their...
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...

LATEST PODCAST