With the rise of AI, machine learning, and deep learning, it is more important than ever that your organization have an IT infrastructure that can handle the load. Learn how IBM can help create the infrastructure your organization needs.
Read this paper to learn how to accelerate AI-driven business outcomes and overcome deployment obstacles using IBM's Reference Architecture for AI.
Access this paper to discover how Hadoop innovation can deliver faster, more affordable business insights.
This paper describes an architecture that will support a productive proof of concept (PoC), experimental application, and sustain growth into production.
Read this paper to learn how IBM Elastic Storage Server provides performance and growth for clusters, cognitive workloads and analytics.
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Read this post to hear from many leading hardware, software, and cloud vendors on how they are putting the new POWER9 to work in their new OpenPOWER-based products.
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Read this paper to learn how you can build an intelligent infrastructure for modern analytics, HPC and artificial intelligence (AI) and Achieve 46x faster machine learning performance.
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Read this paper to learn the system configurations of the IBM Power System LC922 and how it can help companies gain new business insights and unlock competitive advantages needed to win in the AI era.
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Access this paper to learn how businesses will benefit from getting support on AI initiatives by a server vendor that offers a complete AI hardware/software stack that is wrapped in an all-encompassing support.
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In this Q&A, Wendy Lynch, founder of Analytic Translator, discusses how CIOs need to close a leadership gap to overcome the huge ...
Resulting from the $1B acquisition of Neon, the database built for AI workloads -- including separate compute and storage -- is ...
The vendor's latest platform update aims to speed, simplify and better govern workloads to help customers build a trusted ...
Across ERP, HR software and mobile platforms, governance decisions are being set earlier, often before organizations realize ...
Aligning data lakehouses with those of ERP vendors and data partners is important, but it won't be enough without silo-busting ...