TOP 10 insideBIGDATA Articles for May 2020
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.
Featured Stories
What You Must Know About the 5 Levels of AIOps Maturity
In this special guest feature, Sean McDermott, CEO and founder of Windward Consulting Group and RedMonocle, offers what enterprises need to know about the five levels of AIOps maturity. When maneuvering through each level, keep the long-term AIOps strategy and goals at the center to achieve the true potential of AIOps.
Big Data/COVID-19 News – 6/1/2020
The big data ecosystem has come out strong to help combat the global coronavirus pandemic by announcing new products and services to help fight COVID-19. In this article, I’ve listed a number of the recent announcements along these lines. Kudos to all the vendors listed below, you may just make an important difference in getting the world past these trying times!
Research Highlights: MIDAS – Real-time Anomaly/Fake News/Intrusion Detection
In the insideBIGDATA Research Highlights column we take a look at new and upcoming results from the research community for data science, machine learning, AI and deep learning. Our readers need to get a glimpse for technology coming down the pipeline that will make their efforts more strategic and competitive. In this installment we review MIDAS – Real-time Anomaly/Fake News/Intrusion Detection developed by Ph.D. candidate Siddharth Bhatia and his team at the National University of Singapore.
Featured Resource
The Essential Guide: Machine Scheduling for AI Workloads on GPUs
This white paper by Run:AI (virtualization and acceleration layer for deep learning) addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High-Performance Computing (HPC), and distributed computing to deep learning.
Industry Perspectives
The Top Five Data Analytics Gripes, and How We Could Fix Them
In this special guest feature, Geoff Tudor, VP and GM of Vizion.ai, offers five key business issues enterprises are facing, and then how we can resolve them. Older technology is not driving but draining the enterprise, failing to deliver on the initial promise of analytics. However, if the layers are stripped away, new technology is emerging that simplifies data analytics, reducing the cost and delivering in an instant the answers businesses need to be successful. So why not make it easy to consume data analytics using the SaaS model?
Why Technology Should Take a Backseat for Data Projects to Succeed
In this special guest feature, Andrew Stevenson, CTO and Co-founder at Lenses.io, believes that without tooling, governance and visibility around open source technologies, applying them successfully at an enterprise level is very hard. Organizations need to be able to access the latest platforms, tools and training, so that they don’t have to re-create technology that already has been commoditized. In a data driven world we can take this a step further and enable companies to focus on data to provide secure, governed access, visibility with the auditing and compliance modern platforms need.
Featured from insideHPC
- insideHPC Special Report: HPC and AI for the Era of Genomics – Part 2This special report sponsored by Dell Technologies, takes a deep dive into HPC and AI for life sciences in the era of genomics. The report also highlights a lineup of Ready Solutions created by Dell Technologies which are highly optimized and tuned hardware and software stacks for a variety of industries. The Ready Solutions for […]
News from insideHPC
- HDR 200Gb/s InfiniBand: The Key to Success for Supercomputers Around the World
- insideHPC Special Report: HPC and AI for the Era of Genomics – Part 2
- ExaAM Project Aims to Transform Additive Manufacturing through Exascale Simulation
- ISC 2020 Goes Digital Offering an Exciting Program for the HPC Community
- Infinidat De-risks Storage Infrastructure with New Offerings and Support for NVMe over Fabrics
- From Forty Days to Sixty-five Minutes without Blowing Your Budget Thanks to Gigaio Fabrex
- insideHPC Special Report: HPC and AI for the Era of Genomics
Editor’s Choice
Hats Over Hearts
It is with great sadness that we announce the death of Rich Brueckner. His passing is an unexpected and enormous blow to both his family and the HPC Community. Rich was an institution in the HPC community. You couldn’t go to an event without seeing his red hat bobbing in the crowd, usually trailed by a fast-moving video crew. He’d be darting into booths, conducting interviews, and then speeding away to his next appointment.
The insideBIGDATA IMPACT 50 List for Q2 2020
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 [READ MORE…]
What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics
In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.
COVID-19 Dashboard Uses Machine Learning to Track Global Pandemic
Anodot, the company pioneering the autonomous monitoring space, has launched a public service including a machine learning driven analytics dashboard that monitors locally reported COVID-19 cases, and notifies users when a particular region’s numbers change significantly.
Field Report: KDD 2019
As a very long time member of the ACM and their SIGKDD group, I’d always wanted to attend a KDD conference (first one occurred in 1995). This year I received a gracious invitation to attend KDD2019 in Anchorage, Alaska, August 4-8. It satisfied two of my bucket list items: witnessing a KDD first-hand and also visiting Anchorage. I was not disappointed with the experience! What follows is my “Field Report,” a travel log if you will, chronicling my observations, both technical and cultural. KDD is touted as being “the premier interdisciplinary conference bringing together researchers and practitioners from data science, [READ MORE…]
