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

Leveraging the Cloud to Better Mine Data in the Extreme Data Economy

In this special guest feature, Nima Negahban, CTO and Co-founder of Kinetica, observes that the demand for cloud solutions for data analytics is skyrocketing, and advanced analytics software now exists that supports both private and public cloud. No longer is it about businesses making decisions informed by data; in today’s Extreme Data Economy, data is the business.

The Future of Analytics: 6 Predictions

In this contributed article, Dr. Beverly Wright, Chief Analytics Officer for aspirent, offers a view of the future of analytics with 6 important predictions. Analytics have become an important part of the decision-making process for many companies in the past few decades, particularly with corporations using data assets as a core competency and point of origin.

From Safari to the Stratified Medicine: How Machine Learning Connects the Dots to Create a Future Health Trajectory

In this contributed article, Ori Geva, the Co-Founder and CEO of Medial EarlySign, describes a clear parallel between the work of the professional animal tracker and the use of machine learning in healthcare. Both share the ability to harmonize data to tell a potentially meaningful story. Through both experience and inherited learning, they know how to identify and connect the dots.

Making Big Data Small

In this special guest feature, Gabe Batstone, Co-founder and CEO for contextere , suggests that rather than provide workers with as much data as possible, it may be better to make Big Data small. This means harnessing the power of Artificial Intelligence (AI) to generate actionable insights a worker needs in that moment to complete the task at hand. Making Big Data small, keeping it both consumable and actionable, will empower workers to be more productive, safer and have less equipment downtime.

Better, Faster Graph Processing

A team from MIT CSAIL has developed a new programming language for graph processing that could help. Dubbed “GraphIt,” the new domain-specific language has been shown to outperform existing frameworks by a factor of nearly 5x while also reducing the lines of code by almost an entire order of magnitude.

TOP 10 insideBIGDATA Articles for November 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.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning – Part 4

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Top Tips for Refreshing the Information Management Lifecycle

In this special guest feature, Dr. Werner Hopf, SVP Data and Document Solutions at Serrala, suggests that whatever your organization’s information management goals are, CIOs, data owners, and IT departments should consider using the following best practices to refresh your organization’s information management plan, so they are able to retain information safely and securely over its lifecycle.

AI in Medicine: Developments in Radiology, Genomics & Diagnostics

Next-generation radiology tools may remove the need for tissue sampling and greatly expand the area of delivery. And the translational Genomics Research Institute’s (TGen) Center for Rare Childhood Disorders is using machine learning for genetic sequencing. Part of an insideBIGDATA special report series on AI and healthcare, this entry highlights some of the latest developments in AI in medicine, including progress in radiology, genomics and diagnostics.

“Above the Trend Line” – Your Industry Rumor Central for 12/3/2018

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.