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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.

New Stack Overflow Study of Developer Attitudes, Salaries and Demographics

Stack Overflow, the online community for developers to learn, share their knowledge and build their careers, today released the Stack Overflow Annual Developer Survey results . With more than 100,000 responses from coders in 184 countries and dependent territories, it is the most extensive survey of the programmer workforce to date.

Big Data Meets HPC – Exploiting HPC Technologies for Accelerating Big Data Processing

DK Panda from Ohio State University gave this talk at the Stanford HPC Conference. “This talk will provide an overview of challenges in accelerating Hadoop, Spark and Memcached on modern HPC clusters. An overview of RDMA-based designs for Hadoop (HDFS, MapReduce, RPC and HBase), Spark, Memcached, Swift, and Kafka using native RDMA support for InfiniBand and RoCE will be presented.”

Analytics Development Life Cycle: Pangea is Panacea

Sai Prakash from HCL America gave this talk at the Stanford HPC Conference. “In this short talk we shall present an analytics workbench perspective (Pangea) that brings entire ADLC under single umbrella thus enabling collaboration, shrinking overall cycle time, easing model deployment efforts and allowing model monitoring. Actionable insights and visualizations are facilitated though service integration interfaces.”

Global Tech Jam Event for Smart Cities returns to Portland in June

The Global Tech Jam conference is coming up June 20-22 in Portland, Oregon. “This symposium will provide a leading venue for the presentation of the highest-quality original research, groundbreaking ideas, and compelling insights on future trends in Smart City Technology and Deployment.”

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!

Importance of Using Data and Analysis in Higher Education

Using the right data, in the right way, can help educational institutions and leaders keep up with ongoing challenges. Data analysis consolidates information to provide the big picture of trends and patterns for higher education leadership teams that can be used to evaluate and streamline processes, create efficiencies, and improve the overall student experience. The infographic below from our friends over at Maryville University highlights the importance of data and analysis in higher education.

Booz Allen & Kaggle’s Annual Data Science Competition Puts AI to Work Accelerating Life-Saving Medical Research

To spur automation of biomedical analysis, Booz Allen Hamilton (NYSE: BAH) and Kaggle launched the 2018 Data Science Bowl, a 90-day competition that calls on thousands of participants globally to train deep learning models to examine images of cells and identify nuclei, regardless of the experimental setup—and without human intervention. Creators of the top algorithms will split $170,000 in cash and prizes, including an NVIDIA® DGX Station™,

7 Key Members of Every Big Data Team

In this contributed article, freelance technology journalist Josh McAllister provides an overview of the seven main staff members you’ll need to put together for a successful and highly efficient Big Data team. When putting together a Big Data team, it’s important that you create an operational structure allowing all members to take advantage of each other’s work. Your company will also need to have the technological infrastructure needed to support its Big Data. This can be done by investing in the right technologies for your business type, size and industry.