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.
Featured Stories
Webinar: Using External Data to Accelerate Business in a Post-Vaccinated World
Join this webinar to learn how companies are developing insights to better prepare for growth opportunities, improve business performance and mitigate risk in a post-pandemic economy. Wednesday, June 24th, 2021 at 11:00 AM PT (2:00 PM ET)
Mastercard’s Five Pillars of AI
Businesses are rushing to adopt AI — but they need to consider ethics right off the bat if they want to build trust and future-proof their business. This special report from Brighterion highlights how more than 60% of consumers consider brands more trustworthy if they think their use of AI is ethical — meaning today’s businesses must be able to demonstrate responsible AI as the technology becomes critical to the future of work.
How AI and Behavioral Science are Addressing Vaccine Hesitancy
In this special guest feature, Ram Prasad, Co-Founder, The Final Mile, a Fractal Analytics Company, discusses how AI can help identify problem areas and how behavioral science could be pivotal in understanding why individuals have delayed immunization.
Featured Resource
Enterprise Search in 2025
This white paper by enterprise search specialists Lucidworks, discusses how data is eating the world and search is the key to finding the data you need. The enterprise search industry is consolidating and moving to technologies built around Lucene and Solr. In the next few years we’ll see nearly all search become voice, conversational, and predictive. Search will surround everything we do and the right combination of signal capture, machine learning, and rules are essential to making that work. Fortunately, much of the technology to drive this is available to us today!
Industry Perspectives
The Four Shifts Needed to Make Quantum Computing Part of Your Analytics Strategy
In this special guest feature, Christopher Savoie, Ph.D., J.D., founder and CEO of Zapata Computing, provides four necessary shifts organizations need to make to turn quantum computing from an exploration of an edge technology to production-ready technology that creates real value.
AIOps: The Iron Man Suit for IT Leaders
In this special guest feature, Josh Atwell, Senior Technology Advocate at Splunk, believes that by leaning into their data and embracing AIOps, IT teams are improving the customer experience. This begs the question: How can IT leaders leverage AIOps to build an informed plan that keeps up with the ever-changing demands of the business and customers?
Featured from insideHPC
- Graphcore and SiPearl Form Euro Partnership to Combine AI and HPCGraphcore, the British maker of the Intelligence Processing Unit (IPU) for artificial intelligence workloads, and SiPearl, the Franco-German company building an HPC chip, have entered into a strategic partnership intended to enable innovation in simulation and prediction for use cases such as meteorology, climatology, epidemiology and energy management. Under the terms of the agreement, the […]
News from insideHPC
- ECP and ALCF to Host June 21 Twitter Chat on Extreme-scale Scientific Software Stack
- Graphcore and SiPearl Form Euro Partnership to Combine AI and HPC
- Subzero Engineering and Armstrong World Industries Partner to Serve U.S. Data Center Market
- Intel’s Infrastructure Processing Unit Targets Hyperscaler Data Centers
- Los Alamos in R&D Pact with Quantum Computing Inc. for Exascale and Petascale Simulations
- Tear Down These Walls: How CXL Could Reinvent the Data Center
- How DOE Scientists Disrupted COVID-19
Editor’s Choice
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 [READ MORE…]
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.
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.
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.
The Difference Between Data Science and Data Analytics
In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business.
