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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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Fearing the Wrong Thing

O'Reilly

There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s Codey, or something similar. Matt Welsh has been talking and writing about the end of programming as such. His reaction was “This prompt is really programming.”

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

All Things Distributed

This article titled " Wie Unternehmen vom Vormarsch des maschinellen Lernens profitieren können " appeared in German last week in the "Digitaliserung" column of Wirtschaftwoche. In the case of artificial intelligence (AI) and machine learning (ML), this is different. Artificial intelligence helps to satisfy the customer.

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The workplace of the future

All Things Distributed

This article titled " Die Arbeitswelt der Zukunft " appeared in German last week in the "Digitalisierung" column of Wirtschaftwoche. In the first step we might reach this goal by combining the fastest mobility services through a digital platform; in the next, it might be a task fulfilled by Virtual Reality. The workplace of the future.

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Generative AI in the Enterprise

O'Reilly

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

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5 key areas for tech leaders to watch in 2020

O'Reilly

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. In programming, Python is preeminent. Figure 3 (above).