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Sample Job Titles and Salaries for Recently filled Data Science Positions in US
Sample list of recent placement: Digital, Marketing & Customer Analytics Professionals Salary Director, Digital...


Passive vs. active data scientists
While the skills required or expected from data scientists can vary based on the organization or domain they work in, being a data...


Anatomy of Chatbots
Natural language conversation is one of the most challenging artificial intelligence problems, which involves language understanding,...


The New Face of Credit Card Fraud
You would think that I am going to talk about new levels of sophistication achieved by cybercriminals. No, here I discuss a different...


Machine Learning – Can We Please Just Agree What This Means
As a profession we do a pretty poor job of agreeing on good naming conventions for really important parts of our professional lives. ...


Catching up on Big Data & Healthcare
The health area is characterized by the management of huge data volumes. What if those data are processed and provided to the health...


Ten Ways Big Data Is Revolutionizing Marketing And Sales
This article was written by Louis Columbus. Louis is currently serving as Director, Global Cloud Product Management at Ingram Cloud....


Big data: Millennials on Social Media – digging a little deeper
It can be tempting to lump all the people who’ve spent more of their life with social media as one large group with largely the same...


How can organizations successfully convert big data into real-world decisions?
The word wide web is turning into a colossal heap of data that is being stored at hundreds and thousands of datacenters across the world....


10 Tools For Working With Big Data For Successful Analytics
Traditional computer systems and software applications don’t have what it takes to support big data. If you want to collect, store,...


Big Data Misconceptions
The idea and concept of “Big Data” has been around for a while now, however it seems there are many people who still believe it is...


Intuitive Machine Learning : Gradient Descent Simplified
This article was written by Roopam Upadhyay. Roopam is a seasoned professional of advanced analytics with more than a decade of...


An executive’s guide to machine learning
This article was written by Dorian Pyle and Cristina San Jose on McKinsey&Company. Dorian Pyle is a data expert in McKinsey’s Miami...


The ROI of Machine Learning in Business - Infographics
This infographic comes from TechEmergence. TechEmergence is a market research firm specializing in the applications and implications of...


Machine Learning Skills Among Data Scientists
This article was posted by Bob E. Hayes on Customer think. Bob, PhD is Chief Research Officer at Appuri. He a scientist, blogger and...


Six categories of Data Scientists
We are now at 9 categories after a few updates. Just like there are a few categories of statisticians (biostatisticians, statisticians,...


How to Set Up Data Science?
1 Introduction Setting up data science in corporate environments is a challenging task. Many companies struggle or even fail at...


3 Theorems on the Economic Value of Data
Since releasing the University of San Francisco research paper on “How to Determine the Economic Value of Your Data” (EvD), I have had...


40 Techniques Used by Data Scientists
These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use...


How Big Data can Help Community Banks
Big Data tools not only simplify lengthy analytical procedures in any industry, but they also provide a competitive advantage to banks....
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