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6 key considerations for selecting an AI systems vendor

CIO Business Intelligence

Here are six critical capabilities that IT leaders should look for when choosing an AI systems vendor for datacenter deployment. Evaluate vendors’ storage options, including SSDs, HDDs, and especially NVMe drives. Asses modular designs, expansion options, and support for cloud-based or hybrid deployments.

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Exploring architectural choices: Options for running IBM TRIRIGA Application Suite on AWS with Red Hat OpenShift

IBM Big Data Hub

Consolidating facility management functionalities into a unified platform streamlines deployment and management processes, reducing the complexities associated with enterprise systems. The deployment flexibility across the on-premises, cloud or hybrid-cloud environments of TRIRIGA caters to diverse organizational infrastructures.

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Free your business to accelerate into change

CIO Business Intelligence

While organizations respond to urgent demands to transition to the cloud, they may overlook the print environment. HP Managed Print Cloud Services helps you implement a comprehensive transition to the cloud. HP Managed Print Cloud Services helps you implement a comprehensive transition to the cloud.

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4 questions to consider when you’re selecting an external DNS provider

IBM Big Data Hub

There are several well-known options out there, and to a newcomer they can appear relatively similar at first. They all have failover options, which can improve resilience. It’s important to know which of these features and capabilities are important to you before comparing options. How many options do you have?

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Top 8 predictive analytics tools compared

CIO Business Intelligence

Deployment. Free Option. On premises or in Alteryx cloud. Alteryx open source options available. Full integration with AWS, third-party marketplace, serverless options. Full integration with AWS, third-party marketplace, serverless options. On premises or in any cloud. On premises or in IBM Cloud.

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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO Business Intelligence

For successful AI deployments, IT leaders not only need the latest GPU/CPU silicon, they also need artificial intelligence (AI) servers that establish a foundation. MGX is a modular architecture that can be applied in an array of server configurations, with a mix of GPU, DPU, and CPU options, to address specific workloads.

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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. Amazon Redshift is a cloud data warehouse service that offers real-time insights and predictive analytics capabilities for analyzing data from terabytes to petabytes. Amazon Redshift delivers up to 4.9