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AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Currently, enterprises primarily use AI for generative video, text, and image applications, as well as enhancing virtual assistance and customer support.

Data 321
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SUSE expands AI tools to control workloads, LLM usage

Network World

The product delivers valuable insights into AI workloads, LLM token usage, and GPU performance, and increased functionality to support the development of agentic workflows, says Abhinav Puri, VP and GM of portfolio solutions and services at SUSE. Our vision is to be the platform of choice for running AI applications, says Puri.

Tools 341
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10 quantum computing milestones of 2024

Network World

billion in 2026 though the top use case for the next couple of years will remain research and development in quantum computing. This means that they have developed an application that shows an advantage over a classical approach though not necessarily one that is fully rolled out and commercially viable at scale.

IBM 397
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Von Neumann Architecture vs. Harvard Architecture: A Detailed Comparison

IT Toolbox

Von Neumann architecture is the foundation for most modern computers, while Harvard architecture offers an alternative design for specific applications. This article provides a detailed comparison of the two most popular computer architectures.

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D-Wave uses quantum to solve real-world problem

Network World

It takes a lot of expensive research and development to create new materials. And theres no shortage of applications for new discovery of magnetic materials, says Alan Baratz, CEO at D-Wave Quantum, a company that makes annealing-style quantum computers. Its not just a theoretical exercise. It solves a real-world problem.

Exercises 287
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LLM benchmarking: How to find the right AI model

CIO Business Intelligence

These are standardized tests that have been specifically developed to evaluate the performance of language models. Specialization: Some benchmarks, such as MultiMedQA, focus on specific application areas to evaluate the suitability of a model in sensitive or highly complex contexts. In addition, many benchmarks quickly become outdated.

How To 312
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Knowledge graphs: the missing link in enterprise AI

CIO Business Intelligence

Large enterprises have long used knowledge graphs to better understand underlying relationships between data points, but these graphs are difficult to build and maintain, requiring effort on the part of developers, data engineers, and subject matter experts who know what the data actually means. But thats true of a lot of gen AI applications.