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insideBIGDATA Latest News – 6/16/2021

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Petabytes to Zettabytes: Operational Challenges of Cluster Infrastructure

In this contributed article, Mark Yin, CEO of Platina Systems, points out that infrastructure and how it will be managed is undergoing a metamorphosis due to several key factors. The solutions outlined can help organizations stay on top of complex data issues with solutions that automate infrastructure provisioning and cloud resource life cycle management.

The insideBIGDATA IMPACT 50 List for Q2 2021

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

Big Data Industry Predictions for 2021

2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming.

Penguin Computing Announces OriginAI Powered by WekaIO

Penguin Computing, a division of SMART Global Holdings, Inc. (NASDAQ: SGH) and a leader in high-performance computing (HPC), artificial intelligence (AI), and enterprise data center solutions, announced that it has partnered with WekaIO™ (Weka) to provide NVIDIA GPU-Powered OriginAI, a comprehensive, end-to-end solution for data center AI that maximizes the performance and utility of high-value AI systems.

Examining Architectures for the Post-Exascale Era

On Wednesday, November 11th, at 9am PST, a group of researchers and industry players on the leading edge of a new approach to HPC architecture join to explore the topic in a webinar titled, “Disaggregated System Architectures for Next Generation HPC and AI Workloads.”

WekaIO Announces Cloud-Native, Unified Storage Solutions for the Entire Data Lifecycle

WekaIO™ (Weka), an innovation leader in high-performance, scalable file storage for data-intensive applications, today announced a transformative cloud-native storage solution underpinned by the fast file system, WekaFS™, that unifies and simplifies the data pipeline for performance-intensive workloads and accelerated DataOps.

Starting A Successful AIOps Initiative

In this special guest feature, Hari Miriyala, VP Software Engineering at cPacket Networks, discusses how many enterprises are considering or deploying AI/ML tools to make their IT team more efficient, reduce troubleshooting time, or improve their organization’s security. But without the right foundation of accurate, precise and consistent input data, this move to AIOps provides little value.

Big Memory Unleashes Big (Real Time) Data

In this special guest feature, Charles Fan, CEO of MemVerge, believes that in the years ahead, the data universe will continue to expand, and the new normal will be real-time analytics and AI/ML integrated into mainstream business apps … but only if in-memory computing infrastructure can keep pace. Therefore the bottom line is that Big Memory Computing–where memory is abundant, persistent, and highly-available–will succeed to unleash Big (real-time) Data.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 2

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.