The ability of companies to provide great healthcare has always been reliant upon data. Before the widespread adoption of technology, important information came from medical exams, checkups, and direct communication between physicians. …

Summary:  A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same thing.

A little reminiscence, or for those of you who are only recently data scientists, a little history lesson. 

Our profession of…

By 2027, the big data market is estimated to grow to USD 103 billion. And by 2022, the global big data and analytics market is predicted to grow to USD 274 billion, statistics backed by Statista.

The scarcity of talent in the big data industry is being wooed by hefty pay packages, but only to those with extensive knowledge in big data tools and technologies.…

Introduction

I was formally (1998-2016) a Senior Research Fellow in the Institute of Educational Technology (IET) at the Open University (OU) in the UK.  It was in that context that I first started thinking about the potential of Learning Analytics in my field which is Accessibility of eLearning and Disabled Student Support.  Looking back through my work-related blog (…

A few years ago I took a call from an analyst at a hedge fund who was looking for external data that would, in his words, provide “alpha.” I explained that our company was connected to thousands of data sources and hundreds of thousands of public datasets; I told him that we were continuously pulling in open data from 70 countries, standardizing it through an ingestion pipeline trained against the largest catalogue of public data in the world, and serving it up…

Why is data so important?

Despite being about as prevalent as electricity, it can be difficult to adequately explain how critical data is to the modern world. From business operations to tackling the environmental crisis, data is the key to unlocking insight and developing intelligent solutions across every sector. Although Big Data has been in the news for at least a couple of decades, other types of data are now getting air time as well. Open…

With data growing at its highest rate ever, cyberattacks and digital warfare are on the rise to get hold of any crucial data. The malicious actors primarily target the data in organizations; if it’s important to you, so it is to them.

Cybercriminals often target databases since they mostly store sensitive data — customer data, financial…

Data science is becoming the pulse of the industry as they provide the minute details to speed up marketing campaigns, enhance business opportunities, drive excellence and earn profit in business by making intelligent decisions. 

As a result, the job market for data science professionals is proliferating. The scope in the field of Data Science is vast and opens up several innovative opportunities by 2020 and beyond. Learn data science skills and become one among the…

Aren’t all good data scientists’ great data scientists? As much as we’d like to think good data scientists to be great data scientists, it isn’t. No doubt good data scientists are a rarity. But great ones are even more difficult to find. It is a bigger challenge like finding a needle in a haystack.

Data science industry is a thriving industry. Multiple organizations have started implementing data science practices for better future predictions. Moving to a data…

Today’s business environment is as competitive as ever. With digital and brick-and-mortar businesses coalescing to create a comprehensive ecosystem of goods and services, differentiation can be difficult.

Efficiency and accuracy are becoming the drivers of success.

To put it simply, making the right business…

In 1956, American Computer specialist John McCarthy created the Dartmouth Conference, at which the term Artificial Intelligence was first adopted. Researchers Allen Newell and Herbert Simon were instrumental in propelling AI as a field of software engineering that could…

Data science has become an integral part of a 21^st century organization. Almost all the companies, large, medium or small, want to utilize data science to fulfill their business imperatives by

1. Improving their current processes for better operational efficiency thereby reducing costs
2. Growing current business and opening new revenue streams
3. Streamlining supporting functions including HR

There are much more industry applications and…

How does one measure the effectiveness of a new Augmented Data Discovery solution? Once the business has chosen data democratization and implemented a self-serve analytics solution, it must measure ROI & TCO and establish metrics that will compare business results achieved before and after the implementation.

Without measurable results, it…

If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…

Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey.  Popular among most professional software developers, Python was ranked the world’s seventh popular programming language.

A study by PYPL Popularity of Programming Language Index (a study that monitors the frequency of searches regarding the popular programming languages to learn) predicted that it showed that there was a growth of 17.1% during the last…