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Conceptualizing the 2020’s: The Decade of the Internet of Things

In this contributed article, editorial consultant Jelani Harper highlights several lofty predictions about the number of connected devices in the IoT begin this year; many developments directly impacting its adoption rates will flourish in the coming 10 years, rendering it the premier expression of data management.

How to Translate Big Data into Big Business Value

In this contributed article, Dr. Michael Zeller, secretary and treasurer for ACM SIGKDD, and CEO of Dynam.AI, offers 4 important steps for businesses looking to turn big data into big value. While (big) data serves as the foundation, smarter, data-driven decisions deliver the business value.

What Employers Should Consider in Big Data Hiring

In this contributed article, freelance human Avery Phillips discusses the many things you need to consider when hiring for big data. Thinking about the nature of your organization, the potential roles, and responsibilities of your data employees, what you aim to achieve through the use of big data, and finally, considering budget; is a good place to start when it comes to big data hiring.

Meeting The Data Demands of Automation

In this special guest feature, Lori McKellar, Senior Director, Product Marketing for AppWorks at OpenText, discusses how organizations across a plethora of industries are understanding the true importance of digitalization, and have started embarking on their automation journey in some shape or form. However, as a result of this process, organizations are seeing a significant increase in the volume, velocity and variety of data, including the rise of unstructured content that is meant to be automated.

insideBIGDATA Latest News – 2/18/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

“Above the Trend Line” – Your Industry Rumor Central for 2/17/2020

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Teacher Pay is Stagnating. Data and Analytics Could Give it a Boost

In this special guest feature, University of San Diego Assistant Professor in Economics, Alison Sanchez, argues that economic questions like how to increase teachers’ pay can be answered through large-scale data analysis. There is not one single answer or explanation behind the widespread salary drop for teachers, but data and analytics can reveal individual causes of teacher pay stagnation and provide customized solutions to address them.

Reality Bites: 3 Misconceptions that Can Lead to Microservice Mayhem

In this contributed article, Eric D. Schabell, Global Technology Evangelist and Portfolio Architect Director at Red Hat, discusses how microservices are core to organizations’ flexibility and agility in the digital world. But that doesn’t mean that microservices are right for every use case or even for every organization—at least, not right now.

How Analytics is Changing the Game for Sports – and Academia

In this contributed article, Darin W. White, Ph.D., Executive Director, Center for Sports Analytics at Samford University, discusses how big data has given rise to the sports analytics major at Samford University. He explains how students are leveraging data sets to help sports organizations drive team efficiencies by informing recruitment strategy and in-game decision making and increase revenue primarily by better engaging their fans.

Businesses Building AI Applications Are Shifting to Open Infrastructure

In this special guest feature, Ami Badani, CMO of Cumulus Networks, suggests that as AI requires a lot of data to train algorithms in addition to immense compute power and storage to process larger workloads when running these applications, IT leaders are fed up with forced, expensive and inefficient infrastructure, and as a result they are turning to open infrastructure to enable this adoption, ultimately transforming their data centers.