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As a Data Scientist, Do You Have to Start Worrying About Blockchain Any Time Soon?

In this contributed article, Smita Adhikary, Managing Consultant at Big Data Analytics Hires, provides a look into Blockchain technology and what it means for the data scientist. When you hear something repeated as frequently and as religiously as the term Blockchain is these days, you cannot help but wonder – am I immune to it’s onslaught?

3 Ways Marketers Should Use Data Science to Skyrocket Marketing Results

In this contributed article, journalist Olivia Ryan provides 3 ways marketers should use data science to skyrocket marketing results. The purpose of “data science” is to solve complex problems that organizations face by means of analytics. In digital marketing, data science becomes critically important.

Data Capture Challenges No One Wants to Talk About

In this contributed article, technology writer and blogger Kayla Matthews discusses 3 data capture challenges familiar to IT professionals and data scientists. There are numerous challenges IT professionals and data scientists encounter when striving for accurate and efficient data capture. But unfortunately, many of these challenges don’t always get the level of attention and discussion they deserve, despite having a significant impact on data capture.

DDN and SQream Partner to Deliver Fast Big Data Analytics and Enterprise BI Acceleration at Massive Scale

DataDirect Networks (DDN®) today announced its strategic partnership with SQream to deliver real-time Big Data analytics solutions and significantly accelerate business decision making. The combination of DDN’s SFA and IME NVMe SSD storage platforms with SQream DB’s GPU-based Big Data SQL database (SQream DB) enables enterprises to effortlessly ingest, compress, store and analyze massive amounts of data.

A Data Scientist’s Guide to Communicating Results

In this contributed article, technology writer and blogger Kayla Matthews discusses the field of data science is as unclear and vague as a muddy lake and it is critical to properly communicate results. While most terms and concepts include a legitimate definition, it’s all too easy to get bogged down in technical jargon. As such, some ideas mean different things from company to company and even — in some cases — from project to project.

Survey Finds Barriers That Prevent Organizations From Realizing Data Science Return on Investment

Domino Data Lab, provider of the advanced data science platform, announced the findings of a survey of more than 250 data science leaders and practitioners. The survey revealed factors that enable data science teams to achieve return on investment (ROI), top capabilities contributing to their success, and priorities they must address this year.

ZEPL Launches ZEPL Team Data Analytics and Modeling Solution

ZEPL today moved its interactive, multi-tenant environment platform out of beta and is now generally available. Designed for data scientists to collaboratively execute analysis through a single notebook interface, ZEPL ensures better, faster interactions with data. ZEPL also launched ZEPL Team, a more feature-rich solution to drive improved data science and analytics collaboration across organizational units.

Data Science Job Postings Are Growing Quickly

As more businesses look to data driven technologies like automation and AI, the need for talented workers who can interpret the data is only expected to rise. In fact, IBM predicts that the demand for data scientists will soar 28% by 2020. To dive into this trend further, our friends at Indeed, the well-known job site, took a deeper look at the industry growth.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – February 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

HIMSS 2018: Perspectives on Health Industry use of AI and Machine Learning

The 2018 Healthcare Information and Management Systems Society (HIMSS) Conference & Exhibition, March 5–9, 2018 in Las Vegas, is a big deal for IT related themes centered around the health information industry. We put together a number of compelling commentaries below from a short list of important health information industry vendors. The the focus of the perspectives align with insideBIGDATA’s primary areas of big data, data science, machine learning, AI and deep learning. Enjoy the comments and the conference!