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News, reviews and feature articles on companies that are changing how organizations leverage massive volumes of data

Parallel Storage Fuels Groundbreaking Neuroscience and Behavioral Research at Harvard

To alleviate bottlenecks and achieve the ideal balance of parallel performance and optimized availability, Harvard University’s Faculty of Arts and Sciences Research Computing (FASRC) deployed the DataDirect Networks (DDN®) GRIDScaler® GS7KX® parallel file system appliance with 1PB of storage. The installation has sped the collection of images detailing synaptic connectivity in the brain’s cerebral cortex.

Survey: Only 7% of Businesses GDPR-compliant as Deadline Looms, Data Privacy Gains Prominence

In February, SAS conducted a global survey of 183 business people in a wide variety of industries who have a role in preparing their organizations for GDPR. The survey highlights the biggest challenges and opportunities organizations face on the road to GDPR compliance.

Survey: Companies are Bullish on Cloud Analytics, But Need to Speed Up the Pace

A majority of the largest companies in the world (83 percent) agree that the cloud is the best place to run analytics, according to a new survey by Vanson Bourne on behalf of Teradata, a leading cloud-based data and analytics company. In the next five years, by the year 2023, most organizations want to run all of their analytics in the cloud. But, an overwhelming 91 percent say that analytics should be moving to the public cloud at a faster rate.

All-in on AI? Five Considerations to Help Ensure Long-Term Success

In this contributed article, Kurt Kuckein, Director of Marketing for DDN Storage, offers five key areas to strongly consider when creating and developing an AI data platform that ensures better answers, faster time to value, and capability for rapid scaling. Analytics, AI and Machine Learning continue to make extensive inroads into data-oriented industries presenting significant opportunities for Enterprises and research organizations. However, the potential for AI to improve business performance and competitiveness demands a different approach to managing the data life-cycle.

The Doctor Is In: Consumers are More Comfortable with AI in Healthcare than Other Industries, Per a SAS Survey

While the buzz around artificial intelligence (AI) can seem ominous, consumers are surprisingly comfortable with the technology in healthcare. A recent survey conducted by SAS, a leader in analytics, found that when presented with a variety of real-world AI scenarios, a majority of people were at ease with AI in healthcare, and more comfortable with AI in healthcare settings than banking or retail. Despite consumer comfort with AI in the medical industry, the SAS survey of 500 Americans found that a lack of human interaction was the top reason respondents cited for feeling uncomfortable with the technology.

DDN Named Datacenter Platform Partner of the Year at Intel Technology Partner Awards, Recognizing its Market Leadership at Scale

DataDirect Networks (DDN®) announced that it received the Intel® Technology Partner of the Year award for Datacenter Platform. DDN was honored for the creation and success of its Infinite Memory Engine® (IME®) SSD enabling product family, which leverages Intel technologies and allows customers to accelerate time to insight, and simplify workflows and applications in on premise, hybrid and cloud environments.

DDN Storage Announces Groundbreaking 33GB/s Performance to NVIDIA DGX Servers to Accelerate Machine Learning and AI Initiatives

DataDirect Networks (DDN®) today announced its  EXAScaler DGX solution, a unique solution that delivers leading-edge performance using a new optimized, accelerated client integrating tightly and seamlessly with the NVIDIA DGX Architecture. Using the EXAScaler® ES14KX® high-performance all-flash array, the new solution smashed existing records by demonstrating a massive 33GB/s of throughput to a single NVIDIA […]

Big Data Meets HPC – Exploiting HPC Technologies for Accelerating Big Data Processing

DK Panda from Ohio State University gave this talk at the Stanford HPC Conference. “This talk will provide an overview of challenges in accelerating Hadoop, Spark and Memcached on modern HPC clusters. An overview of RDMA-based designs for Hadoop (HDFS, MapReduce, RPC and HBase), Spark, Memcached, Swift, and Kafka using native RDMA support for InfiniBand and RoCE will be presented.”

Five Data Platform Considerations When Thinking About Your Deep Learning Future

With the current maturation of Artificial Intelligence applications and Deep Learning algorithms, many organizations are spinning up initiatives to figure out how they will extract competitive differentiation from their data. This guest article comes from DDN Storage, a provider of high performance, high capacity big data storage systems, processing solutions and services to data-intensive, global organizations.

Interview: Jim Scott, Director, Enterprise Strategy & Architecture at MapR

I recently caught up with Jim Scott, Director, Enterprise Strategy & Architecture at MapR, to discuss blockchain, at its core a Shared Distributed Ledger with strict, yet customizable rules detailing how to place information into the ledger. The foundational pieces that comprise this model are already in place in one fashion or another within most enterprises.