Sign up for our newsletter and get the latest big data news and analysis.

Transformative Solutions for Accelerating AI, Analytics and Deep Learning at NVIDIA #GTC19

One pivotal message received by attendees of this week’s NVIDIA GPU Technology Conference (GTC) in Silicon Valley is the importance of game-changing storage solutions and applications that empower users to accomplish their most challenging AI objectives.

AI-at-Scale Storage Solutions Advance Forward at GTC

Many organizations taking advantage of newly available AI technologies are seeking solutions for AI-at-scale, built to address the manageability challenges and productivity barriers by delivering a seamless and flexible end-to-end AI pipeline solution. Crowds at this week’s GTC conference hosted by NVIDIA saw new announcements that moved to satisfy these needs. For example, take Pure Storage’s new offerings: Hyperscale AIRI and FlashStack for AI.

“Above the Trend Line” – Your Industry Rumor Central for 3/18/2019

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.

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.

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.

Book Review: Deep Learning Revolution by Terrence J. Sejnowski

The new MIT Press title “Deep Learning Revolution,” by Professor Terrence J. Sejnowski, offers a useful historical perspective coupled with a contemporary look at the technologies behind the fast moving field of deep learning. This is not a technical book about deep learning principles or practices in the same class as my favorite “Deep Learning” […]

“Above the Trend Line” – Your Industry Rumor Central for 3/4/2019

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.

AI Plays Important Roles at 3 Leading Companies

Today we conclude the insideBIGDATA Executive Round Up, our annual feature showcasing the insights of thought leaders on the state of the big data industry, and where it is headed. In today’s discussion, our panel of experienced big data executives – Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software, Robert Lee, Vice President & Chief Architect, Pure Storage, Inc., and Oliver Schabenberger, COO & CTO at SAS – discusses the most important role AI plays for their company’s mission statement, and how that role will be cultivated in 2019?