Big Data, Cloud & DevOps

This post dives into different types of text analytics and gives three different examples from the industry to better convey the ideas behind these methods.

Data simulators can be an important asset to a company because they can emulate the data you don’t have access to, and help you gauge the compatibility of your tools accordingly.

Analyzing traveler feedback on a newly opened airport in Asia, Ravi gives us a walkthrough of his approach to a specific sentiment analysis problem.

A detailed article on HR Analytics, explaining what it is, how it works, and how organizations can leverage it to improve their culture and effectiveness.

In this post, Jonathan Bloom gives a summary of the history of Artifiicial Intelligence, followed by a brief overview of how the underlying mechanics work.

How you can efficiently select the appropriate model for your data using various variable/model selection methods. 

As the amount of structured and unstructured data explodes, the financial sector is realizing the necessity of harnessing and analyzing that data in the fastest, most effective way possible in order to stay competitive. A revolution can be defined as a fundamental change in an organizational structure that takes place in a relatively short period of time when people “revolt” against the current order. Currently, the financial sector is making a massive shift towards big data and machine learning technology and applied solutions. Here are five signs that this is the beginning of a revolution in finance

Ready to learn Data Science? Browse Data Science Training and Certification courses developed by industry thought leaders and Experfy in Harvard Innovation Lab. Using the right evaluation metrics for your classification system is crucial. Otherwise, you could fall into the trap of thinking that your model performs well but in reality, it doesn’t. In this post,

Ready to learn Data Analytics? Browse Data Analyst Training and Certification courses developed by industry thought leaders and Experfy in Harvard Innovation Lab. “Insight” has become the ubiquitous catalyst for many business decisions. We analyze data to gain insights and use those insights to guide decisions, large and small. It is better than “instinct” or “intuition” as

Ready to learn Big Data? Browse Big Data Training and Certification Courses developed by industry thought leaders and Experfy in Harvard Innovation Lab. 5 Steps for Data (Anger) Management. Healthy Data means a Healthy Business. A New Year always means resolution time and most of us are resolved as we turn the calendar to improve

Smart Data Visualization can radically improve your Business Intelligence, Data Discovery  and  Analytics. It can streamline the work process of business users, improve the accuracy of planning and forecasting and ensure better, more timely, more accurate business decisions. Smart Visualization tools allow users to gather various data components and tell a story. Revealing results in this manner makes it easier for business users and the organization to identify the cause of a problem, see trends and patterns and find those elusive nuggets of information that will provide a competitive edge.