Tendencies of Data Engineers and Scientists
A long time ago I wrote a short post on the differences between data engineers and data scientists. My reasoning back then was that a data engineer is someone who applies engineering methodologies to data problems, while a data scientist is someone who applies the scientific method to data problems.... Read more
Advice For New And Junior Data Scientists – Hamel Husain l ODSC West 2017
Bio: Hamel has experience building data analytics and predictive modeling solutions for a wide range of industries, including: hospitality, telecom, retail, restaurant and entertainment. He has built large data science teams (50+) from the ground up and has deep experience building solutions as an individual contributor. His primary area... Read more
ODSC East Interviews: Kishore Aradya
The following Q&A is part of a series of interviews conducted with speakers at the 2017 ODSC East conference in Boston. The interview has been condensed and edited for clarity. This interview is with Kishore Aradya, , whose talk was entitled “From the Trenches: Managing and Building Data Science Teams?”  ... Read more
There are a wide range of conferences to attend out there. In 2017, there have been over 245 Data Science, Machine learning and AI conferences, summits and events happening all over the world.   Industry surveys suggest that 40 to 45 percent of Data Scientists have attended at least... Read more
Web Scraping Indeed for Key Data Science Job Skills
Editor’s Note: Check out our 2017 State of Data Science Jobs Report to compare stats, sentiments, and POVs. *available in Spanish   As many of you probably know, being a data scientist requires a large skill set . . . Read more
A Data Science Guide for Managers
Are these terms familiar? Big Data, Machine Learning, Artificial Intelligence, Deep Learning, Hadoop, MapReduce, Spark, Streaming Analytics, Data Science. In this post we will expand the executive’s knowledge and those aspiring to be by providing summaries by decade of the Data Science industry, and by comparing Data Science definitions.... Read more
Anonymization and the Future of Data Science
Managing data privacy is becoming an increasingly difficult challenge for massive corporations littered with data silos. New data regulations–from the EU to the US to China— illustrate that this challenge is really just beginning. This trend underscores the importance of anonymization – one of the most important tools in... Read more
Understanding the Chief Data Officer – Julie Steele ODSC Boston 2015
Understanding the Chief Data Officer from odsc As the importance of having a data strategy in place is sinking in, many organizations have added a chief data officer (CDO) to their executive team to help create and implement that strategy. But every organization is doing this a little bit... Read more
Will Data Scientists Face Extinction – Alex Cosmas ODSC Boston 2015
http://bit.ly/AlexCosmasPresentation Presenter Bio Alex Cosmas is a Chief Scientist in Booz Allen Hamilton’s Strategic Innovation Group, specializing in predictive analytics across the travel, hospitality and consumer sectors. He is a recognized expert in the use of probabilistic and causal models to perform both deductive and inductive reasoning from large... Read more
Big Data Analytics, The New CEO Super Power – Damian Mingle ODSC Boston 2015
Big Data Analytics: The New CEO Super Power from odsc What is the key to leading a data-driven business transformation? Analytics are just a step in the process of wringing real value from technological investments that support effective data science. The real challenge is generating the courage to take... Read more