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How Big Data is Helping Monitor STD Rates and Get People Tested

In this contributed article, freelance human Avery Phillips discusses the importance of tracking data around infection rates, geographical location, and patient demographics for the continued treatment of STDs. This not only helps us understand how changes in communication will need to be made but also what populations need to be informed so that they can better understand their treatment. Managing big data like this and finding ways to implement it is where tech companies can step in to help with current STD rates and treatments.

From “Lake” to Insight: How Federal Agencies Can Get More from Their Big Data Platforms

In this contributed article, Chris Brown, Senior Associate, and David Cunningham of Principal, Booz Allen Hamilton, suggests that overcoming data lake obstacles involves a combination of processes, culture, and appropriate technology choices. By employing modern data management platforms and best practices from the outset, agencies can start flipping the 80-20 rule of data science—and start putting the valuable information they collect to work for their missions.

“Alexa, Call the Statistician!”

In this special guest feature, Julia Brickell, Executive Managing Director and General Counsel at, H5, believes that the legal profession is on a collision course with artificial intelligence, given AI’s massive potential to disrupt how the law is practiced, and its extraordinary growth. AI’s ability to transform electronic discovery, draw up contracts, analyze judicial bias, and predict legal outcomes has many in the profession calling for the development of standards around how AI is used.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Book Review: Architects of Intelligence by Martin Ford

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.

How Big Data Is Transforming the Legal Industry

In this special guest feature, Jennifer Roberts, Data Scientist at Intapp, observes how many industries have, by and large, figured big data out. Retail, manufacturing and financial services are just a few of them. Legal will figure it out, too. That day is coming, but not fast enough for most firms and their clients.

“Above the Trend Line” – Your Industry Rumor Central for 1/14/2019

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.

Redis Labs Delivers the Fastest Multi-Model Database on Intel® Optane™ DC Persistent Memory

Redis Labs, the home of Redis and provider of Redis Enterprise, announced that Redis Enterprise is now available for Intel® Optane™ DC persistent memory across multiple cloud services or as downloadable software for supported hardware from companies participating in Intel’s hardware beta program.

Pepperdata Announces Free Version of Application Spotlight

Pepperdata, a leader in big data Application Performance Management (APM), announced a free version of Application Spotlight™ for enterprises for use in a single cluster with up to 20 nodes.

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).