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Data Science Job Postings Are Growing Quickly

As more businesses look to data driven technologies like automation and AI, the need for talented workers who can interpret the data is only expected to rise. In fact, IBM predicts that the demand for data scientists will soar 28% by 2020. To dive into this trend further, our friends at Indeed, the well-known job site, took a deeper look at the industry growth.

Best of for AI, Machine Learning, and Deep Learning – February 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the 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.

Top 4 Misconceptions About Text Mining

Text mining is the ultimate solution for large-scale research. Part mega search engine, part smart data, text mining takes unstructured text, breaks it down into smaller chunks, and helps researchers interpret meaning. Check out the e-book from the Copyright Clearance Center that covers four misconceptions about text mining, as well as the “reality” of each of these situations. 

Artificial Intelligence and Big Data Technologies Drive Business Innovation in 2018

In this contributed article, Ritesh Mehta, Senior Technical Account Manager for TatvaSoft Australia, discusses how service providers make use of these hottest technology trends like AI and big data to keep pace with the tough competition and to provide clients only with highly effective and dynamic solutions.

When BlockChain Meets IoT – All the Lowdown You Need

In this contributed article, blogger and blockchain technology expert Harsh Agrawal discusses several ways blockchain has already begun disrupting industries that are using IoT. About 20% of all IoT enabled devices shall have basic level Blockchain services enabled in them in 2019. That said, there would be more devices that will be will be able to send data to private ledgers.

Statistics and Machine Learning at Scale: New Technologies Apply Machine Learning to Big Data

In a new white paper, based on presentations given over the last few years. Wayne Thompson, Manager of Data Science Technologies at SAS, introduces key machine learning concepts, explains the correlation between statistics and machine learning, and describes SAS solutions that enable machine learning at scale. Download the report to lean more about how new machine learning technologies are being applied to big data.

Kinetica Predicts AI and IoT Use Cases Will Drive Demand for Next-Gen Databases in 2018

Kinetica’s CTO and Co-founder Nima Negahban offers some of his top technology predictions for 2018. Today’s analytical workloads require faster query performance, advanced analysis methods, and more frequent data updates. For real-time analysis of massive data sets, particularly for use cases where time and location matter, enterprises are turning to new next-generation databases to explore data faster and uncover new insights.

TOP 10 insideBIGDATA Articles for February 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.

HIMSS 2018: Perspectives on Health Industry use of AI and Machine Learning

The 2018 Healthcare Information and Management Systems Society (HIMSS) Conference & Exhibition, March 5–9, 2018 in Las Vegas, is a big deal for IT related themes centered around the health information industry. We put together a number of compelling commentaries below from a short list of important health information industry vendors. The the focus of the perspectives align with insideBIGDATA’s primary areas of big data, data science, machine learning, AI and deep learning. Enjoy the comments and the conference!

Pepperdata Announces Application Spotlight

Pepperdata, the Big Data Performance company that provides developer and operator solutions to optimize application and cluster performance in Big Data environments, announces Application Spotlight. This self-service portal enables Big Data application developers to generate application-specific recommendations to improve application performance, highlight applications that need attention, automatically identify bottlenecks, and alert on duration, failure conditions, and resource usage.