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NinjaOne

Complete Guide: What Is iOS Profile and Device Management?

Sep 25, 2024 By Lauren Ballejos In NinjaOne
iOS devices such as iPhones and iPads are increasingly prevalent in enterprise environments. As their usage grows, so does the need for effective mobile device management. Managing iOS devices is crucial for ensuring security, protecting sensitive data, and maintaining IT compliance with regulatory requirements. With the right management practices, organizations can ensure that iOS devices contribute to productivity while minimizing security vulnerabilities.
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Aiven

Navigating the Creative Commons: AI, Ownership, and Software Development

Sep 25, 2024 By Josep Prat In Aiven
The debate surrounding AI-generated content ownership has raged since the technology's inception. Despite significant advancements, the question of creative rights remains unresolved. This is particularly problematic in software development, where AI's influence can often be subtle and overlooked. To fully grasp the implications, it's essential to delve into the complex landscape of intellectual property and licensing.
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opsmatters

Why Technology Upgrades are Essential for Modern Printing Services

Sep 25, 2024 By OpsMatters In OpsMatters
Modern businesses require modern solutions, and those that use technology to deliver a final product really need to invest to ensure they are able to compete and continue to provide exceptional products. Although the printing industry is not one that many people give much thought to, it has steadily maintained lockstep with the advancement of various technologies. In this post, we will explore what role tech plays in the printing industry and why upgrades are essential to keep businesses going.
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speedscale

Testing Golang with httptest

Sep 24, 2024 By Nate Lee In Speedscale
Go, often referred to as Golang, is a popular programming language built by Google. Its design and structure help you write efficient, reliable, and high-performing programs. Often used for web servers and rest APIs, Go offers the same performance as other low-level languages like C++ while also making sure the language itself is easy to understand with a good development experience.
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Are We Facing a Workforce Apocalypse? Frank Thelen on AI's Impact!

Sep 24, 2024 By Civo In Civo
Join us for an exciting keynote session from Civo Navigate Europe 2024 in Berlin, featuring renowned European serial founder and technology investor Frank Thelen. In an engaging conversation with Civo's CEO Mark Boost and CTO Dinesh Majrekar, Frank dives deep into the future of technology, discussing the rapid evolution of AI, robotics, and quantum computing. He shares insights on how these technologies will reshape industries, enhance daily life, and revolutionize job recruitment processes.
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influxdata

Real-Time Visualization for IIoT Data

Sep 24, 2024 By Community In InfluxData
With the increased adoption of the Industrial Internet of Things (IIoT), connected devices and sensors generate vast amounts of data, and you’ll need an effective way to capture, store, and visualize all of it. With effective data visualization and analysis, you can transform raw data into actionable insights and make informed decisions. This post will break down tools like Grafana, Node-RED, and time series databases, including their benefits to your IIoT workload.
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speedscale

How to Get Started with GoMock

Sep 23, 2024 By Kasper Siig In Speedscale
GoMock is a powerful tool for generating mock objects in Go, making it an essential asset for developers aiming to write advanced unit tests. By simulating the behavior of real objects, GoMock allows you to test your code in isolation, ensuring that each component functions correctly on its own. This capability is particularly useful in a language like Go, where interfaces play a crucial role in defining the behavior of different components.
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jfrog

How to Deploy Machine Learning Models into Production

Sep 23, 2024 By Pavel Klushin In JFrog
Machine learning (ML) models are almost always developed in an offline setting, but they must be deployed into a production environment in order to learn from live data and deliver value. A common complaint among ML teams, however, is that deploying ML models in production is a complicated process. It is such a widespread issue that some experts estimate that as many as 90 percent of ML models never make it into production in the first place.
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