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The latest big data news and articles

Best of arXiv.org for AI, Machine Learning, and Deep Learning – February 2019

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.

High Volume and Multi-source Analytics

In this contributed article, Justin Langseth, Co-Founder & Chairman of Zoomdata, offers two approaches, together with modern cloud-native data storage, data engines, and BI tooling, relatively simple yet hyper-scalable approaches can start to help tame data entropy, handle the exponentially-growing size, speed, and potential sources of data, and still deliver solid value and insights to end users.

Strategies for Obtaining Patents on AI Inventions in the U.S. and Europe

In this contributed article, Maria Anderson – Partner, Kimberly A. Kennedy – Associate, and Alexander J. Martinez – Associate at Knobbe Martens, discuss how AI has exploded in the last decade. Adopted in many business sectors, AI is rapidly becoming an integral part of society. Thus, obtaining patent protection for AI technology is more important now than ever before.

Who is Recruiting for AI?

In this contributed article from our friends over at RS Components, we look at the important questions: The rise of AI and who’s hiring? Are you at risk of losing your job? Over the next few years we will see the impact new AI roles will have, as new developments will find their way into the home and workplace. The question is, are you ready for this technological wave artificial intelligence continues to bring?

What to Look for in an AI Partner

In this contributed article, Gaby Olazabal, a Senior Vice President at CLARA Analytics, explains that although there is a lot to consider when selecting an AI partner, know that selecting the right partner will be worth it. AI’s capabilities and benefits are truly transformative when applied in a thoughtful way. Best of luck to you as you embark on your AI journey.

E-Learning and Your Big Data – Effective Analysis

In this contributed article, tech blogger Katrina Hatchett discusses how Big Data can make a sizeable impact in eLearning and it can be used as part of a long term approach for problem solving in the sector. However, competently managing this valuable information will significantly enhance your organization’s ability to provide eLearning effectively.

Big Data Applications for Every Aspect of Business Management

In this contributed article, Magnolia Potter focuses on “Big Data” which refers to massive data sets that can be analyzed to reveal a pattern or habit of the populations surveyed. It’s especially used as a way to understand human behaviors and has been revolutionary in finding new ways to reach audiences in just about every industry. Now, you can use big data to manage your business.

insideBIGDATA 2019 Annual Executive Round Up

Our annual insideBIGDATA Executive Round Up showcases the insights of thought leaders on the state of the big data industry, and where it is headed. In our annual 2019 round up, we examine five topics: the importance of AI explainability in 2019, what industries are making the best competitive use of AI in 2019, how enterprises are seeking to improve technological infrastructure and cloud hosting processes for supporting AI, how AI-optimized hardware solves important compute and storage requirements, and how AI plays important roles at 3 leading companies.

Labeled Training Sets for Machine Learning

It’s no secret that machine learning success is derived from the availability of labeled data in the form of a training set and test set that are used by the learning algorithm. Labels are the values of the response variables (what’s being predicted) that are used by the algorithm along with the feature variables (predictors). One consistent problem faced by data scientists is how to obtain labels for a given data set for use with machine learning. In this article we’ll see a variety of techniques used down in the trenches.

TOP 10 insideBIGDATA Articles for February 2019

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.