Multi-Cloud seems to be the next big thing in the public cloud. With multi-cloud, an organization can move applications between cloud providers to take advantage of better pricing or better technology. While it is relatively easy to migrate an application…
Accelerating a data analytics project is critical for storage vendors that sell storage systems designed for big data analytics, artificial intelligence (AI), and machine learning (ML). These vendors all thrive by helping their customer get answers to their questions faster…
Many businesses are eager to initiate a cloud migration strategy and take advantage of the economic benefits that clouds offer. However, concerns regarding vendor lock-in, proprietary technology, and hidden costs have served as a deterrent for a large number of…
Multi-Cloud is a hot topic right now in IT circles. Instead of being locked into a single cloud, organizations can shift workloads between clouds as needed. Multi-cloud enables them to receive the best pricing possible on cloud services and resources.…
The new era of data analytics has opened up a new opportunity for storage professionals to become strategic partners and advisers to line of business stakeholders. The problem is that completing analytics queries is taking far too long – frequently…
The cloud provider landscape is dominated by a few large mega-cloud providers that attempt to provide a wide range of applications, services, compute, and storage to their customers. However, a new wave of cloud providers is emerging that focus on…
Many businesses are eager to initiate a cloud migration strategy and take advantage of the economic benefits that clouds offer. However, concerns regarding vendor lock-in, proprietary technology, and hidden costs have served as a deterrent for a large number of…
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,…
