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6 key considerations for selecting an AI systems vendor

CIO Business Intelligence

IT leaders attending NVIDIA’s GTC 2024 AI developer conference on March 18-21, 2024, in San Jose, CA, can explore these capabilities with ASUS, one of the global leaders in high-performance AI servers based on NVIDIA’s MGX server reference architecture. Maximize data storage AI workloads demand vast amounts of data.

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Spearline and Amazon Web Services Partnership

Spearline Testing

Cloud computing has driven down Information Technology costs and helped companies across all industries increase their flexibility and productivity. Amazon Web Services. AWS services can scale with the company’s growth so that Spearline does not have the impossible task of predicting what future needs will be.

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AWS launches no-code service AppFabric with generative AI assistance

CIO Business Intelligence

Amazon Web Services (AWS) on Tuesday unveiled a new no-code offering, dubbed AppFabric, designed to simplify SaaS integration for enterprises by increasing application observability and reducing operational costs associated with building point-to-point solutions. Availability across other cloud regions is expected to follow soon.

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Network-as-a-Service: A modern solution to today’s networking challenges

Network World

Traditional networking architectures over the past two decades or so prescribe that the hub of the network be build around a specific location, such as a data center or a company’s headquarters building. In fact, companies often use multiple cloud platforms these days. To read this article in full, please click here

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Larger organizations often have multiple data analysts or scientists to help understand data, whereas smaller companies might rely on a data engineer to work in both roles. What is a data engineer?

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4 paths to sustainable AI

CIO Business Intelligence

Regulators, investors, customers, and even employees are pushing companies to minimize the climate impact of their AI initiatives. As sustainable efforts become a greater priority, here are four ways companies are succeeding in streamlining their AI efforts. We see it as a recruiting and retention factor.”

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The multi-cloud era – a faster path forward for enterprises and Managed Services Providers

CIO Business Intelligence

CIOs are taking deliberate action by proactively matching workloads and applications with the ideal cloud, and companies are also seeing a proliferation of multi-cloud architectures created by mergers and acquisitions, data sovereignty needs, support for remote work, and shadow IT. The era of the multi-cloud landscape is here.

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