Most companies have big data but are unaware of how to use it. Firms have started realizing how important it is for them to start analyzing data to make better business decisions.

With the help of big data analytics tools, organizations can now use the data to harness new business opportunities. This is return will lead to smarter business leads, happy customers, and higher profits. Big data tools are crucial and can help an organization in multiple ways – better decision making,…

Healthcare organizations all over the world have long battled the growing pressure to achieve substantially better levels and standards of patient care. Unfortunately, their endeavors in this regard have consistently fallen short of desired results. It owes to the inability to properly leverage the abundance of data they already have access to and continue to generate daily. Thankfully, the world also has a solution to this problem at hand: Healthcare analytics. Underpinned by data gathered…

Remarketing is how you connect with people who have earlier interacted with your Site or mobile app. Although the word is used interchangeably with retargeting, both denote different plans of action. Retargeting is a sub-discipline of remarketing and is only about serving online or offline ads to potential customers based on cookies.…

Harvard Business Review has declared data science as the ‘sexiest profession of the 21^st century’, and rightfully so. Keeping in mind, the amount of data being generated each day, the future scope of data science is bright, in fact, very bright. Students of technology, business, economics, mathematics, computer science, and the related subject domains, are all eligible to prepare for a data analyst role.

In the U.S., it is expected that there will exist 2.7 million openings…

Just about every company worth its salt today uses data and analytics to better understand their customers and better meet their needs.  For some companies, such as Google, Amazon and others, data science is the very foundation of their business model - but these companies use data analytics in service of their broader core mission.  The universe of public companies that actually provide data and analytics solutions is far smaller and harder to define, but includes industry behemoths such as…

That data analytics is big is not in dispute. Global revenues for big data software and services are expected to grow from USD 42 billion in 2018 to USD 103 billion in 2027, at a CAGR of 10.48%. And in the United States itself, by 2020, about 2.7 million job postings for data analytics and data science are expected. 

Data inflows into companies are…

Mobile app development is a popular service offering today – thanks to the immense popularity of a mobile phone in people’s lives. And it would be disastrous for companies not to leverage this opportunity if they still haven’t addressed it. So, to make use of this ever-growing avenue more and more, organizations all over the world are rushing to embrace this trend. However, they also understand that merely developing a mobile app is not nearly enough, i.e., if they genuinely want an edge…

 Data scientist ranks third on the list of LinkedIn emerging jobs of 2020. Similarly, it ranks first on Glassdoor’s hottest jobs of 2020. The data scientist role has been consistently ranked among top jobs in the past few years. There’s not a slightest of doubt that data scientists are in huge demand and are expected to stay in high demand in the coming years. …

By

• Priya Sharma – Sr. Data Scientist -IoT Analytics, SAS Institute Inc.
• Saurabh Mishra – Product Management, IoT, SAS Institute Inc.

June 12, 2020

Description: Majority of AI approaches are based on the construct of training against historical data and then inferencing new data. While this is a sound and proven approach, a lot of IoT assets coming online don’t have historical data and we don’t necessarily have the time to wait.

Modern Machine…

This is the second of two articles about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submissions chosen as Spotlight Winners to present at the closing ceremony. Read on for the technical aspects of our solution, for a more general overview of the hackathon and our product see our first article…

You’re a data scientist, but you didn’t end up in the data science industry.

Are you worried about not making it?

Fret not, we’ve got multiple career options molded perfectly for you.

Ever since data science and big data analytics became the buzzwords in the industry, career options in these fields never went amiss. Job roles in both the data science and the big data analytics industry continue to reign as some of the most coveted jobs a tech professional could…

by Robert Robison, Data Analyst, Elder Research

In 2019, over 40 million Americans wagered money on March Madness brackets, according to the American Gaming Association. Most of this money was bet in “bracket…

As a data scientist in an organization you frequently find yourself in a couple of situations:

Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of mathematics for data science before jumping into full-fledged math courses will save you a lot of time.

I wrote this blog post because I made a few mistakes while starting…

The history of F1 motor racing and the use of telemetry as a way to monitor car setup and performance dates back to the 80s. The first electronic systems were installed onboard the car, collected information for only one lap and the data were then downloaded when the car was back in the garage. The explosion of computing capabilities, in the 90s, contributed to the growth of intelligent data usage in the F1 and the…

Walking by the hottest IT streets in these days means you've likely heard about achieving Streaming Machine Learning, i.e. moving AI towards streaming scenario and exploiting the real-time capabilities along with new Artificial Intelligence techniques. Moreover, you will also notice the lack of research related to this topic, despite the growing interest in it.

If we try to investigate it a little bit deeper then, we realize that…

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…