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The insideBIGDATA IMPACT 50 List for Q4 2018

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

4 Major Ways in Which Big Data is Impacting Social Media Marketing

In this contributed article, content and brand strategist Nidhi Dave throws light on the application of big data on social media marketing, examining its current as well as future impact. She offers four major ways in which big data is impacting social media marketing

Field Report: TIBCO NOW 2018

I was pleased to be on hand for the 2018 edition of the TIBCO NOW “Innovation at the Edge” conference in Las Vegas on September 4-6. This was my 1st time covering the show for insideBIGDATA, and I was eager to get the pulse of the event because you can tell a lot about the state of a company by attending their global user conference. I wasn’t disappointed!

Top Skills Data Scientists Need To Learn in 2018

Data scientists are in high demand, taking the number 1 spot in Glassdoor’s Best Jobs in America list in 2016 and 2017, with 4,84 position available and boasting a median base salary of $110,000. According to Jim Webber, Chief Scientist at Neo4j, the following is a short-list of the most essential tech skills for data scientists to adopt this year.

The Future of Smart Cities

In this contributed article, freelance human Avery Phillips discusses the evolution of smart cities from the perspective of how urbanscapes will be run more efficiently through the collection of big data and the use of connected IoT devices. Hospitals will be better able to care for their patients and transportation will run more smoothly than ever. Even though we don’t know what the future holds, we can still look forward to a smarter tomorrow.

How Netflix Uses Big Data to Drive Success

Netflix has over 100 million subscribers and with that comes a wealth of data they can analyze to improve the user experience. Big data has helped Netflix massively in their mission to become the king of stream. Our friends over at FrameYourTV developed the compelling infographic below that highlights Netflix’s use of big data, specifically interesting statistics, how Netflix gathers big data, and how Netflix uses big data.

The Difference Between Data Science and Data Analytics

In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business.

Learn Data Science: Eight (Easy) Steps

Our friends over at DataCamp have produced the “Become a Data Scientist in 8 Steps” infographic providing a view of the eight steps that you need to to through to learn data science. Some of these eight steps will be easier for some than for others, depending on background and personal experience, among other factors.

How Predictive Analytics is Changing the Retail Industry

In this special guest feature, Dean Abbott of SmarterHQ discusses how data science and predictive modeling have become the holy grail for the retail industry.