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The latest big data news and articles

Developing Perceptive Machines that See and Reason Like Humans

The National Science Foundation has awarded computer scientist Subhransu Maji at the University of Massachusetts Amherst its Faculty Early Career Development (CAREER) award, a five-year, $545,586 grant, to support his work in computer vision and artificial intelligence (AI).

Where You Go Tells Who You Are—and Vice Versa

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.

The Power of Data Is Stuck In Silos

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.

Executive Spotlight: Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software

The insideBIGDATA 2019 Executive Round Up features insights from industry executives with lengthy experience in the big data industry. Here’s a look at the insights from Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software. Ayush has deep software engineering expertise around big data solutions & has strong domain knowledge around Hadoop, MPP database & Systems, Performance Engineering & Data Integration. Before Unifi he was part of founding engineering team at Greenplum.

The insideBIGDATA IMPACT 50 List for Q1 2019

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!

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.

3 Ways AI Will Drive the Future of Travel

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.

“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.

Using Bayesian Optimization to Tune Machine Learning Models

The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The talk briefly introduces Bayesian Global Optimization as an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is time-consuming or expensive.

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.