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eWEEK DATA POINTS: Virtual assistants help provide IT professionals with a better way for routing critical incidents 24/7, lower costs, reduce errors and relieve major stress on the help desk.
eWEEK NETWORKING ANALYSIS: Cisco’s technology has evolved, and now it’s time for its partners to change.
eWEEK DATA POINTS: Blueprints are templates for publishing a catalog item that IT admin creates so that a cloud user can request the required resource stack. These blueprints are cloud-agnostic and can simplify the provisioning process.
eWEEK PRODUCT OVERVIEW & ANALYSIS: Claroty fills in important gaps between industrial cybersecurity IT and operational technology (OT) environments.
eWEEK NETWORKING COMPANY ANALYSIS: Aruba’s Edge Services Platform adds intelligence to the network to improve user performance and reduce operational expenses.
eWEEK PRODUCT OVERVIEW & INSIGHT: Cloudian’s global data fabric architecture enables enterprises to store, find and protect object and file data seamlessly across sites, both on-premises and in public clouds, within a single, unified platform.
eWEEK COMPANY PERSPECTIVE: Developer of DataOps data platform has completed its original intent to provide a complete data management platform, ranging from mainframes to Kubernetes and containers.
eWEEK TOP COMPANIES: Collaboration tools allow teams to synchronize and share files—videos, documents, photographs, audio and other types, such as data logs and specific industry formats—to get work done more efficiently. Here is eWEEK’s evaluation of the leaders in this important IT segment.
eWEEK NEWS ANALYSIS: Intelligence from ThousandEyes extends Cisco’s monitoring capabilities across the internet.
eWEEK TREND ANALYSIS: Since its inception, NVIDIA has focused on the end user, whether it’s a developer or data scientist to ensure the buyers of their products can take full advantage of accelerated computing. This enables a wide range of use cases that aren’t possible to do with any kind...
PRODUCT TREND ANALYSIS: Thanks to improvements, such as faster data loading to build graphs quickly, faster execution of parallel graph algorithms and the ability to scale up and out for distributed applications, graph is meeting or even exceeding its promise.