Category: Blog post

Is serverless architecture a game-changer or just another fad? This new capability presents both challenges and opportunities. Read on to learn more about serverless risks and opportunities.

Looking to build a successful digital product? Our article provides valuable insights and tips for navigating the product development landscape, including how to make informed build vs. buy decisions and whether to build an in-house team or outsource.

If you’re building an AI application, you will require high-quality data to have a robust model. This article introduces the most popular data labeling platforms and gives you the clues to consider for choosing the right tool for your project.

Here we provide an example to describe how we can combine the capabilities of Cloud and Edge Computing to create a practical machine learning application.

Adopting AI is going to be a must in almost every business. However, employing such systems has various challenges for companies. “No-Code AI” provides a solution for many teams and businesses to bring AI to many use cases in the future.

As AI systems become more complex, Data Labeling has become an inevitable stage in developing most AI and Machine Learning-related applications. But what is data labeling? and how is it done?

Here is an overview of the Deep-Learning-based Human Action Recognition problem statement. This overview presents some computer vision solutions to this problem and introduces relevant datasets to HAR.

This article discusses using motion detection and pose estimation models for designing an automatic fall detection system for real-world applications.

This is the third article in our series on Nvidia DeepStream. So far, we have introduced DeepStream and its basic concepts. Presented here is a real-world example of how you can use this tool to make your own applications.

This part of the Galliot DeepStream articles introduces the most important DeepStream elements, plugins, and functions. Alongside this, we show you how to build a Pipeline and customize your video analytics applications.

This article will walk us through the path of developing an Edge Device-friendly Pose Estimation model for real-time applications such as fall detection, physiotherapy, workspace safety, games, occupancy controls, etc.