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How Telcos Can Balance Consumer Privacy and Targeted Ads

In this special guest feature, Charlie Thomas, SVP Insights and Analytics, at Synchronoss, points out there’s big money in big data for telecommunications companies. Mobile service providers have a host of consumer-based and behavioral information on their clients, and the market to turn that targetable data into dollars is at its highest point ever.

Gain a Competitive Advantage With Machine Learning

In this contributed article, tech writer Linda Gimmeson outlines a few ways any company can be more competitive with the help of machine learning.

The New Age of Analytics: Artificial Intelligence and Data are Not Enough to Power Your Business

In this special guest feature, Rosemary Radich, Head of Business Intelligence and Data Analytics for AccuWeather, discusses the importance of the weather data dimension as an adjunct to traditional data sources in capturing the broader picture impacting behavior and results from machine learning.

4 Things Machine-Learning Algorithms Can Do for DevOps

In this special guest feature, Ronny Lehmann, CTO at Loom Systems, discusses how digital transformation has created challenges and benefits for DevOps and the constant pressure of picking up the pace in the endless ocean of complexity can often seem impossible. With machine learning and AI, the fundamental necessity to ensuring a high-quality customer experience can become more of a reality.

So, You’re the Data King. Now What?

In this special guest feature, Tara Kelly, CEO of SPLICE Software, discusses how the practice of trying to be Big Brother while offering customers little in return will lead to the eventual death of effective CRM. Instead, companies can use this data to provide an experience that people value enough to see the benefits of sharing their personal information.

How NLP Can Help Healthcare “Catch Up”

In this special guest feature, Simon Beaulah, Senior Director of Healthcare at Linguamatics, discusses how natural language processing (NLP) has become a crucial tool in healthcare and the life sciences as these sectors struggle to catch up to other industries and transform their big data into actionable data.

What Maersk’s Adoption of Microsoft Azure Means for the Future of Commercial Shipping Data

In this contributed article, technology writer and blogger Kayla Matthews discussed what cloud services means for the shipping industry, and how cloud computing could change the entire industry in the future. She takes a look at Maersk, the largest shipping company in the world, to see how the company is engaging the cloud.

2017 is the Year IIoT Becomes Normal

In this special guest feature, Saar Yoskovitz, CEO at Augury, explores the efficiencies (both cost and speed) of the IIoT and why the next 12 months will see more companies normalizing IIoT benefits.

5 Common Myths Around Virtualizing Big Data (Number 3 is SANdalous!)

In this contributed article, Justin Murray, Technical Marketing Manager at VMware, discusses 5 common myths around virtualizing big data. Big data burst on to the scene a little over a decade ago. Today it is not an obscure term confined to just a handful of bleeding edge companies. It is a mainstream trend that every enterprise undergoing a digital transformation journey has adopted. The technology landscape around big data has broadened dramatically.

A 4-Step Approach to Building your Predictive Analytics Stack

In this special guest feature, Slava Koltovich, CEO at EastBanc Technologies, speaks to the infinite possibilities of cloud-based predictive analytics and provide key strategies companies should consider when building a predictive analytics stack.