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Data 2020: State of Big Data Study

Our friends over at SAP recently published a study that highlights some really compelling findings around data scientists. There’s a wide gap and serious discrepancy in the level of importance organizations place on data scientists and the number of data scientists they employ. Below are some key statistics from the study, along with a summary infographic.

Applying Data Analytics to Taxation Best Practices

In this contributed article, technology writer and blogger Kayla Matthews discusses how data examination techniques can aid the day-to-day activities of people that most business leaders have on their support team: taxation specialists.

Recommendation Systems – How the World Suggests What You Should Watch Next

From the medical industry to the entertainment industry, companies are now investing in big data and algorithm software to collect and analyze analytics to enhance user and client experience. In the infographic below, created by our friends at the New Jersey Institute of Technology’s Online Masters in Computer Science program, we take a closer look at recommender settings and their influence on what the world watches.

7 Reasons to Use Big Data When You Have a Small Business

In this contributed article, Sarah Kearns, Senior Communications Manager for BizDb, discusses 7 reasons to use big data when you have a small business. Big data is all of the information you can glean about your customers and your business on a day to day basis. When properly utilized and analyzed, this data can give you valuable insights into your company.

TOP 10 insideBIGDATA Articles for September 2017

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels. We’re happy to oblige! We understand that busy big data professionals can’t check the site everyday.

“Above the Trend Line” – Your Industry Rumor Central for 10/2/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Why Healthcare May Be the Hottest Industry Sector for Data Analysts in 2018

In this contributed article, freelance human Avery Phillips discusses how if you’re a data analyst in search of a secure industry on which to hang your hat, rather than heading to Silicon Valley to join (or begin) a startup, you might consider pursuing work with a local hospital or public health clinic.

Why We Should Temper Our Optimism About IoT

In this contributed article, Sheza Gary, a technical director at Algoworks, discusses a few pros and some serious cons with IoT and how it’s important to note that IoT is still not an extraordinarily mature technology. The silver lining is that manufacturers are all very aware of all these problems and have been working on fixing them to the best of their abilities. At some point, we can expect tightly-secured, future-proof, and privacy-oriented hardware that responds not only to the demands of a convenience-driven economy but also to its need for hardened technologies.

Why Startups Should Not Ignore Big Data

In this contributed article, tech writer Linda Gimmeson examines how big data technology is not just for the large enterprise, but rather business startups are uniquely positioned to quickly act on big data insights as well.

Interview: David Steinmetz, Machine Learning Engineer at Capital One

I recently caught up with Daniel Steinmetz, who is a Machine Learning Engineer with Capital One Bank to discuss how to get a job at Capital One, the types skills they are looking for, and what his typical day looks like.