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…

Data science is a growing and promising discipline that has impacted various domains, including higher education. Owing to its ability to use precise methods and platforms to extract insights from data, several academic institutions are incorporating data science into their operations and educational curriculum. This helps them engage students, improve educational…

Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.

1. Common Assumption: People skills are just "fluffy" soft skills

Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's…

In this digital age, the threats against an organization’s data are massive and the consequences of a breach are extremely devastating for a business. So it has become important to consider various factors when it comes to secure databases.

Our world is on a huge risk of data theft and a few months ago, Facebook data breach news proved this.…

Whether we know it or not, we use Natural Language Processing every day. It makes it easier for us to interact with computers and software and allows us to perform complex searches and tasks without the help of a programmer, developer or analyst.

In this, the last article in our three-article series we discuss Natural Language Processing and…

Data is growing at an unimaginable speed. Data has been and will be the most crucial driving factors behind day-to-day activities that we carry out. As we talk, tons and tons of data---in exabytes is being added and processed each day, making it difficult to handle such an astronomical amount. There lies one major difficulty in handling such large amount of data. Since the volume is increasing rapidly in comparison to the computing resources, we find it…