This post examines the challenges of adopting complex technologies like LangChain and agentic solutions in production environments, emphasizing the importance of understanding the necessity of such complexity. It provides insights on how to evaluate these technologies carefully, manage dependencies, and adhere to best practices for secure and stabl...

We use Deep Learning to turn a painful and time-consuming leak-detection task for water and oil pipelines into a fast, painless process. Using Python and Fast Fourier Transforms, we turn audio sensor data into images, then use Convolutional Neural Networks to detect and classify pipeline anomalies.

Uploading images to ASP.Net WebAPI, pre-processing, and storing in Azure Blob Storage without ever using the filesystem.

Building a website map to visualize real-time geographic data from mobile apps with Event Hubs and SignalR using Leaflet.

In this post, you'll see how we helped a startup to extract structured data from images - using Project Oxford's image recognition.