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insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 2)

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.

5 Business Intelligence Myths, Debunked

In this special guest feature, Scott Yates, Senior Director, Operations at HGS offers the top five business intelligence myths, debunked. While companies today have access to troves of customer and industry data, most continue to take a passive approach in managing business intelligence. Why are so many companies still so fearful of BI? This list of myths will help you turn the corner.

Are We Creating a Secure Enterprise Internet of Things (EIoT)?

The Enterprise Internet of Things (EIoT) has a great deal of potential: it can enable retailers to increase cost efficiencies, improve the overall customer experience, increase brand loyalty and revenues. However, there remain some fundamental EIoT issues, including privacy and security that must be resolved before EIoT can become mainstream. The infographic below from our friends over at Exponential Solutions (The CUBE) offers a detailed look into these issues.

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.

How to Become a Big Data Analyst

Because of the inherent importance of data analysis in many industries, the job of big data analyst is one that should come with great appreciation and consideration of those looking to get into a similar field. In the infographic below from our friends over at MeriTalk, we’ll break down big data analysis as a career and show you why it’s already one of the big jobs to look out for now and in the coming years.

How Big Data Analytics Can Improve Demand-Supply Cycle in Retail?

In this contributed article, James Warner, a business intelligence analyst at NexSoftSys.com, discusses big data uses in the retail industry, specifically about the supply and demand cycle. With big data entering all mainstream industries, analytics is surely going to be different and not limited to projections and predictions. The supply chain in retail is a small example of the vast applicability of big data.

The Drilling Rigs of the Big Data Age

In this contributed article, Navin Chaddha, Managing Director, at Mayfield, a top-tier Silicon Valley venture capital firm with $2.7 billion under management and a 48 year history of investing, outlines 5 big areas of opportunity as well as some trends that are creating the need for a new class of companies that will serve as the drilling rigs of the big data age.

TOP 10 insideBIGDATA Articles for January 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.

Tips from the Shelves: Proven Methods for Boosting Data Warehouse Speeds

In this special guest feature, Jason Harris, Evangelist at Panoply, discusses how data collection and analysis are further enhanced when including methods for disseminating, analyzing, and distributing data.

Interview: Todd Wright, Senior Product Marketing Manager, Data Management at SAS

I recently caught up with Todd Wright, Senior Product Marketing Manager, Data Management at SAS, to discuss GDPR, the first update to the European privacy and protection laws in 23 years. According to Todd, GDPR is being taken very serious by regulators, to the point that they are considering data protection and privacy as a human rights issue. Data on minors, medical records, sexual orientation, race, age, and weight will be some of the top concerns, as they can all be considered areas that could form a bias towards an individual when processing data.