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Top500: The Supercomputers Advancing Cyber Security, Renewable Energy, and Black Hole Research

CIO Business Intelligence

The University’s Grace-GPU also ranked in the TOP500, coming in at 365. . Davis and her team are using HPC-driven data science and AI to model solutions whereby energy management systems would protect themselves with semi-automated, real-time data analysis. Plus, Canada’s most powerful supercomputer and Dell’s HPC at the edge. .

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The Hybrid Cloud Forecast: Part 2

IBM Big Data Hub

Across the 30+ episodes published so far, three themes have emerged that appeared to come up: Research , which I covered in the previous blog Journey to Cloud , which I will cover here Life Stories , which I will leave for the next blog post Theme: Journey to Cloud Cloud computing has impacted the IT industry like few other technologies.

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5 things to know: IBM Cloud’s mission to accelerate innovation for clients

IBM Big Data Hub

As enterprises embrace generative AI to drive innovation, the combination of IBM’s AI stack, industry expertise and infrastructure can help them on their journeys. IBM also recently unveiled watsonx , our next-generation AI and data platform to help enterprises train, validate and deploy AI models.

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10 Things AWS Can Do for Your SaaS Company

Smart Data Collective

Artificial intelligence (AI). AWS also offers a variety of AI model development and delivery platforms , as well as packaged AI-based applications. With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies. Let’s just dive right in. AWS SaaS: When to use it?

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Cloud Analytics Powered by FinOps

Cloudera

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. It is not strange to hear and know about companies adopting a cloud-first strategy in the short term. Why FinOps?

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4 Recommendations for Maximizing ROI in Artificial Intelligence Solutions

CDW Research Hub

Artificial intelligence (AI) applications are becoming pervasive across all industries, and at companies of all sizes. In fact, most companies have a long line of AI use cases identified, in development, or already in productive use. Often, hybrid cloud solutions are the foundation of AI deployments.

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AutoML for Data Augmentation

Insight

It utilizes Bayesian optimization for discovering data augmentation strategies tailored to your image dataset. Introduction Data is the most critical piece of AI applications. Effective augmentation strategies are different for each image dataset, and some augmentation techniques may even be detrimental to the model.