From Machine Vision to Sensors, Technology is Helping Keep People and Food Safe
World Food Safety Day's "Food Standards Save Lives" focus is a reminder of the challenges faced and how to meet them.
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API update: User invitations
Today, we’re excited to share the latest endpoint release for the Raygun API, user invitations. With this release, customers can now use the API to automate the process of inviting new team members to Raygun. With unlimited seats included in every Raygun account, one of the best ways to get the most out of Raygun is to add more team members to your plan.
Manage multiple versions of Play Store apps using Mobile Device Manager Plus
This video demonstrates how to easily manage different versions of Play Store apps on Android devices using ManageEngine MDM.
Charmed MLFlow Beta is here. Try it out now!
Canonical’s MLOps portfolio is growing with a new machine learning tool. Charmed MLFlow 2.1 is now available in Beta. MLFlow is a crucial component of the open-source MLOps ecosystem. The project announced it had passed 10 million monthly downloads at the end of 2022. With Charmed MLFlow users benefit from a platform where they can easily manage machine learning models and workflows.
Simplifying Everyday Network Management: How AI is Changing the Game
Artificial Intelligence (AI) is the current buzz word in IT with AI promoted as the magic ingredient for improving business performance across a wide range of areas. But how, specifically, does AI enhance Network Management? The idea that computers can manage themselves is nothing new.
Tracealyzer 4.8 Is Out
Tracealyzer version 4.8 has just been released, with major optimizations and improvements for Zephyr RTOS, and support for 64-bit target processors (FreeRTOS, Zephyr and SafeRTOS only). In addition, the ESP32 support is upgraded to use the latest TraceRecorder library, supporting all recent versions of ESP-IDF up to v5.2 dev. Snapshot tracing is now primarily supported by the implementation for streaming mode, using the RingBuffer stream port.
Open Source Monitoring vs Proprietary Software
It’s easy to get pulled into paying more and more at a major monitoring company, despite not getting the functionality that you’re looking for. Leaving your monitoring provider can be difficult because it means replacing expensive software or hardware, re-educating your team, and transferring huge amounts of data to a new system - data that may or may not be well suited to the new system. Despite these issues, there are many reasons that motivate users to move to open source.
Beyond Machine Learning: Advantages of Ensemble Models for Interpretable Time Series Forecasting
Time series forecasting continues to be a critical task in many industries, including retail, finance, healthcare, and manufacturing. Traditional forecasting methods have been successful, but advancements in machine learning (ML) have sparked interest in using ML algorithms for time series forecasting. However, the complexity of exogenous events such as a pandemic and inclement weather, can make time series forecasting challenging.
Ship with confidence - monitoring as code explained in three minutes.
Unite end-to-end testing and monitoring in one developer-focused monitoring as code workflow. The Checkly CLI enables you to code, test, and deploy your testing and synthetic monitoring setup like never before.
From Fear to Fandom: How Resolve's OpenAI/ChatGPT Translate Code Benefits IT Teams
The rollout of new technology can come with hesitation and even fear, and generative AI is no different. The New York Times in February 2023 dubbed the popularity of ChatGPT a “phenomenon” that started an AI arms race – one that wasn’t exactly welcomed by news writers, marketing agencies, or business leaders.