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What is explainable AI? The key to closing the AI confidence gap

Dynatrace

Explainable AI is an aspect of artificial intelligence that aims to make AI more transparent and understandable, resulting in greater trust and confidence from the teams benefitting from the AI. Some models, like deep learning or neural network-based models, are dense and complex, making them difficult to interpret.

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Best Practices in Cloud Security Monitoring

Scalegrid

Nevertheless, this integration can present certain challenges to organizations. Addressing Challenges in Cloud Security Monitoring While cloud security monitoring offers numerous advantages, it also presents a few challenges that must be addressed. Companies like Palo Alto Networks Cloud Security, Fortinet Cloud, and Trend Micro.

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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

Even when I took out the sessions that don’t directly cover the topics of my primary interests as well as mainframe-specific presentations, I ended up with 21 sessions in 2.5 – Another presentation on resource optimization – this one from Salesforce. Performance is not only about response time by Henrik Rexed, Neotys.

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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. NPU: Neural Network Processing Unit (NPU) has become a general name of AI chip rather than a brand name of a company.

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Rising Tide Rents and Robber Baron Rents

O'Reilly

Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. But over time, something went very wrong. Cory Doctorow calls this the “enshittification” of Big Tech platforms.

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What is a Distributed Storage System

Scalegrid

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. These systems safeguard against the risk of data loss due to hardware failure or network issues by spreading data across multiple nodes.

Storage 130
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Mastering Hybrid Cloud Strategy

Scalegrid

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. We will examine each of these elements in more detail. It should offer user-friendly operation.

Strategy 130