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TOP 10 insideBIGDATA Articles for December 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.

“Above the Trend Line” – Your Industry Rumor Central for 1/7/2019

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.

How Eco-Friendly Builders are Using Big Data to Make Design Decisions

In this contributed article, freelance human Avery Phillips discusses how eco-friendly builders are using big data to make all kinds of design decisions, from location to amenities. More data than ever is being created and shared, meaning that the buildings and infrastructure of tomorrow will be designed to combat climate change and protect our environment and our way of life.

Book Review: The Model Thinker – A new way to look at Data Analysis

In this special guest feature, Carol Wells reviews the new book by Scott E. Page entitled “The Model Thinker.” “A hands-on reference for the working data scientist, “The Model Thinker” challenges us to consider that the historical methods we have used for data analysis are no longer adequate given the complexity of today’s world. The book opens by making the case for a new way of using mathematical models to solve problems, offers a close look at a number of the models, then closes with a pair of demonstrations of the method.”

Why Your AI Workflow Needs Software-based Secondary Storage

In this special guest feature, Geoff Bourgeois, Co-founder and CEO of HubStor, discusses how one of the chief obstacles to executing AI is managing massive volumes of unstructured data. The trick is keeping this data intact to your AI/ML infrastructure without adding silos and layers of complexity. Secondary, scale-out, and cloud storage components are essential to large-scale AI projects, but they shouldn’t be independent silos that make it challenging to tier and recall data sets as needed.

“Above the Trend Line” – Your Industry Rumor Central for 12/31/2018

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.

Detecting Anomalies in Time Series Data: Deciphering the Noise and Zoning in on the Signals

In this contributed article, Pratap Dangeti, Principal Data Scientist at Subex, discusses how anomaly detection in industrial data is by no means a simple process given the scale at which it needs to happen, and also the highly dynamic nature of business in today’s world. However, it’s still imperative to get it right, as no digital business can hope to stay relevant and competitive in an increasingly tough economy without the power of meaningful data analytics to back its growth.

How Big Data Is Helping Drivers Stay Safer on the Road

In this contributed article, freelance human Avery Phillips discusses how big data is helping keep drivers safer on the road, but this will only continue to get better. As semi- and fully autonomous cars spread, more data will be available, making prediction models better, and in turn make cars safer.

“Above the Trend Line” – Your Industry Rumor Central for 12/24/2018

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.

Overwhelmed by Data? Here’s How to Get Control of It

In this special guest feature, Amnon Drori, Co-founder and CEO of Octopai, discusses how companies can gain visibility and control over their data lineage by leveraging metadata and how this will make GDPR compliance a manageable task instead of an impossible pursuit.