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The latest big data news and articles

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.

Five Data Platform Considerations When Thinking About Your Deep Learning Future

With the current maturation of Artificial Intelligence applications and Deep Learning algorithms, many organizations are spinning up initiatives to figure out how they will extract competitive differentiation from their data. This guest article comes from DDN Storage, a provider of high performance, high capacity big data storage systems, processing solutions and services to data-intensive, global organizations.

Artificial Intelligence and Big Data Technologies Drive Business Innovation in 2018

In this contributed article, Ritesh Mehta, Senior Technical Account Manager for TatvaSoft Australia, discusses how service providers make use of these hottest technology trends like AI and big data to keep pace with the tough competition and to provide clients only with highly effective and dynamic solutions.

When BlockChain Meets IoT – All the Lowdown You Need

In this contributed article, blogger and blockchain technology expert Harsh Agrawal discusses several ways blockchain has already begun disrupting industries that are using IoT. About 20% of all IoT enabled devices shall have basic level Blockchain services enabled in them in 2019. That said, there would be more devices that will be will be able to send data to private ledgers.

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.”

Interview: Jim Scott, Director, Enterprise Strategy & Architecture at MapR

I recently caught up with Jim Scott, Director, Enterprise Strategy & Architecture at MapR, to discuss blockchain, at its core a Shared Distributed Ledger with strict, yet customizable rules detailing how to place information into the ledger. The foundational pieces that comprise this model are already in place in one fashion or another within most enterprises.

Cognitive Search Is More Than Just AI

In this special guest feature, Massood Zarrabian, CEO at BA Insight, combs through several quintessential elements of cognitive search, including data connectivity, auto classification, user experience and contextual recommendation. He also explains how each element is augmented by machine learning technology, not replaced by it.

Kinetica Predicts AI and IoT Use Cases Will Drive Demand for Next-Gen Databases in 2018

Kinetica’s CTO and Co-founder Nima Negahban offers some of his top technology predictions for 2018. Today’s analytical workloads require faster query performance, advanced analysis methods, and more frequent data updates. For real-time analysis of massive data sets, particularly for use cases where time and location matter, enterprises are turning to new next-generation databases to explore data faster and uncover new insights.

TOP 10 insideBIGDATA Articles for February 2018

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.

insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 4)

The insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning white paper explores how AI, machine learning and deep learning are transforming the retail industry in many positive directions. As artificial neural networks become more and more efficient, and as graphics processing units (GPUs) get more and more powerful, so does their influence on retail.