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insideBIGDATA 01/15/2019 11:30
The new title "Architects of Intelligence - The Truth About AI from the People Building It," by futurist Martin Ford is a real gem and worthy read for several groups of people: data scientists, AI researchers, enterprise decision makers, and while we're at it, we can also throw in folks who are working to transition into this dynamic field that is in such high demand right now.
insideBIGDATA 01/14/2019 11:30
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.
insideBIGDATA 01/11/2019 11:30
Researchers from Columbia University use data science tools to uncover human mobility patterns; new method will improve traffic prediction, urban planning, and other transportation needs. Mining data to analyze tracking patterns, Sharon Di, assistant professor of civil engineering and engineering mechanics at Columbia Engineering, has discovered that she can infer the population travel demand level in a region from the trajectories of just a portion of travelers.
insideBIGDATA 01/11/2019 11:30
In this special guest feature, Geoff Tudor, VP and GM of Cloud Services at Panzura, discusses how data is rapidly spreading across the enterprise, and data islands are forming and living in silos among separate infrastructures and sites. This has caused a major roadblock to business leaders who want to quickly find and mobilize their data, and are left emptying their pockets and drowning in funds to find a solution.
insideBIGDATA 01/10/2019 11:30
Welcome to insideBIGDATA’s annual Executive Round Up designed to give our readers a sense for what the upcoming year is going to look like with respective to our focus technologies: big data, data science, machine learning, AI and deep learning. Weighing in with their thought-leadership predictions are some of the industry’s biggest players. We’re honored to pass along these comments to our valued audience. In this article, Part 1 of the series, we’ll chat with Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software to get his take on how AI and machine learning will continue to make significant strides, and how it seems to have turned the corner toward mainstream acceptance in the enterprise.
insideBIGDATA 01/09/2019 11:30
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!
insideBIGDATA 01/08/2019 11:30
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 01/07/2019 11:30
In this special guest feature, Levi Brackman, Principal Data Scientist at Travelport, talks about the impact of artificial intelligence on consumer shopping behaviors, and provides three ways AI will eventually drive the travel booking experience: first, recognize consumers’ dependence on their own AI within their devices; second, increasing data will lead to compounding intelligence; third, powerful AI capabilities are required to compete in reaching the AI-dependent consumer.
insideBIGDATA 01/07/2019 11:30
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 […]
insideBIGDATA 01/05/2019 11:00
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.
insideBIGDATA 01/03/2019 12:49
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."
insideBIGDATA 01/03/2019 11:30
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.
insideBIGDATA 01/03/2019 09:30
The fields of machine learning and deep learning are on the brink of unprecedented breakthroughs across a variety of verticals. And according to a new report from Databricks, "data is the new fuel," for these market advancements. Download the new white paper today, "Four Real-Life Machine Learning Use Cases," to explore Databricks Unified Analytics Platform use cases in the advertising, loan servicing, media industries and more.
insideBIGDATA 01/02/2019 11:30
In this contributed article, Devavrat Shah, MIT Professor of Computer Science, highlights how many professionals are seeking rigorous training in data science skill, and want them without having to leave their day job. They need the practicality and flexibility that online learning provides, so the operative question becomes: can MOOCS deliver these skills without compromising quality?

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