IT technologies are rapidly changing our lives. Whether it’s your daily grocery purchase, monthly bill payments, booking railway tickets, or receiving online healthcare consultation, data technologies have penetrated every business model, large, medium, or small. Recent cloud platforms, coupled with Big Data and IoT technologies, have ushered in a new era of “smart technologies” powered […]
Making Machine Learning Datasets Unbiased
Click to learn more about authors Dmitry Pozdnyakov and Olga Ezzheva Machine Learning (ML), a subset of a broader Artificial Intelligence (AI) field, is finding its way into more and more areas of application. From smarter shopping recommendations to better medical diagnosis to more effective fraud detection, businesses are leaning on ML to inject new […]
What are Citizen Analysts and How Can They Improve Your Organization?
Click to learn more about author Kartik Patel. The days of data silos and isolated teams of data analysts and IT staffs are behind us. Today, every business user must incorporate accurate analysis into the decision-making process. Enter, the Citizen Analyst! What is a Citizen Analyst? Citizen Analysts (AKA Citizen Data Scientists) represent a new breed […]
Data Scientist vs. Data Engineer
The Background of Data Science Roles It was thought that the year 2018 would create a huge demand-supply gap in the Data Science market as supply would fail to keep pace with the rising demand for expert Data Scientists. However, the recent buzz from Gartner, which says more than 40 percent of Data Science tasks […]
Data Science Trends in 2019
When it comes to major Data Science trends to watch in 2019, the co-founder and CEO of Kaggle, Anthony Goldbloom, has predicted that very soon Data Centers will be replaced by departmental or business-specific Data Science teams. As discussed in Data Science Trends in 2018, last year’s major trends continued from 2017 as the growth […]
The Realities of Machine Learning for the Benefit of Tech Leaders
Click to learn more about author Tyler Warden. In the cycle of technology buzzwords, Artificial Intelligence (AI) and Machine Learning have become part of the regular vernacular used to make technology seem more relevant, modern and innovative. In reality, these tools can either make solutions better or complicate and frustrate well working processes. In order […]
Ten Myths About Data Science
Click to learn more about author Daniel Jebaraj. Introduction Data Science is now being used as a competitive weapon. As with other technologies and processes that can transform the way companies operate, there’s a lot of contradictory information about it that’s causing considerable confusion. Most of today’s business leaders have heard that Data Science can […]
What is Predictive Analytics and Can it Help You Achieve Business Objectives?
Click to learn more about author Kartik Patel. The process of Predictive Analytics has come far in the past decade. No longer is this process the sole responsibility of data scientists or IT staff. Today’s Self-serve Predictive Analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Predictive […]
The Future of NLP in Data Science
According to many market statistics, data volume is doubling every two years, but in future this time span may get further reduced. The vast portion of this data (about 79 percent) is text data. Natural Language Processing (NLP) is the sub-branch of Data Science that attempts to extract insights from “text.” Thus, NLP is assuming […]
Why Data Science is Not Statistics
Click to learn more about author Alex Paretski. Statistics as a branch of applied mathematics plays an important role in identifying hidden patterns in data. That’s why it is frequently used interchangeably with broader terms such as Data Science, Data Analytics, Business Analytics, and Machine Learning. Not only is this comparison technically incorrect, but it […]