Workloads like artificial intelligence (AI), machine learning (ML), big data analytics, the Internet of Things (IoT) and data warehousing need storage memory-levels of performance. Charles Fan, CEO of MemVerge, has a vision for making this possible without disrupting the application…
Data analytics and business intelligence (BI) initiatives have become mission-critical, but today, it is simply taking too long to arrive at insights. 90% of the time that it takes to generate insights lies in human labor, and that labor is…
How to Build a Multi-Cloud Data Pipeline for AI, ML and DL Artificial intelligence (AI), machine learning (ML) and deep learning (DL) are experiencing rapid adoption in a number of use cases, including autonomous vehicles, pharmaceutical drug research, predictive maintenance,…
Enterprises use Splunk because it derives insights from information that organizations already have. It is clear that the more information that is available to the environments the more valuable the applications are. Ideally, organizations want to store all data relevant…
Making Persistent Storage for Production Kubernetes Attainable Containers have become highly popular among DevOps shops due to their advantages in the areas of agility, simplicity and scalability. These same qualities make them attractive candidates for hosting modern applications such as…
Organizations are moving to the cloud but according to a recent Osterman Research study, only 14% of companies have completed that transformation. The study clearly identifies data storage as an area where IT can easily accelerate their cloud transformation journey.…
Version 7.3 of the Splunk Enterprise machine data analytics and visualization platform is now available, and with it will come enhanced, more enterprise and production-grade support for Splunk’s SmartStore capability. This is significant because SmartStore stands to greatly lower the…
With businesses beginning to rely on analytics, machine and deep learning (ML and DL), and artificial intelligence (AI) to run daily processes and generate competitive advantage, high-performance computing (HPC) is becoming more applicable outside of its traditional niche use cases,…
Data analytics has become table stakes for competitive differentiation. As a result, businesses require their analytics-driven insights as quickly as possible. The reality is, however, that queries often take weeks or even months to complete. One of the key logjams…
More Proactive Infrastructure Operations and Cost-Effective, Granular Application Performance Acceleration Graphics processing units (GPUs), software-defined data center architectures, and more intelligent infrastructure management are important technologies that all stand to help IT professionals meet modern business requirements. These include ever-faster…
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