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What is IT automation?

Dynatrace

IT admins can automate virtually any time-consuming task that requires regular application. Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. AI that is based on machine learning needs to be trained. IT automation tools can achieve enterprise-wide efficiency.

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Could intellectual debt derail your journey to the autonomous cloud?

Dynatrace

Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency. One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis.

Cloud 156
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To understand the risks posed by AI, follow the money

O'Reilly

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Both concepts are virtually omnipresent and at the top of most buzzword rankings. Many are uncomfortable with the idea that an artificial intelligence exists alongside human intelligence. That is understandable.

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. The IPU design supports both training and inference, and is a memory-centric design. FPU: Floating Processing Unit (FPU).

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What Is a Workload in Cloud Computing

Scalegrid

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. This need is often referred to as “workload optimization.”

Cloud 130
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Generative AI in the Enterprise

O'Reilly

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.