QnA Maker is a cloud-based Natural Language Processing (NLP) service that enables developers to build, train and publish a sophisticated bot using FAQ pages, support websites, product manuals via a simple user interface or REST APIs. The ability to create… Read More ›
The Computer Vision API in Azure Cognitive Service allows developers to increase content discoverability and automate text extraction by analyzing rich visual content in photos and live-videos without prior machine learning experience. Visual data processing can be used to label… Read More ›
An anomaly is a data point that does not follow the majority of data points’ collective common pattern and hence stands out from the rest of the data. These unusual or anomalous events can be detrimental to any corporation that… Read More ›
Azure Cognitive Service provides a set of machine learning algorithms which helps developers to solve problems in the field of Artificial Intelligence (AI). It enhances developer’s capabilities to create, manage, and deploy powerful applications to assist cloud customers perform any… Read More ›
Azure Event Hubs is an event ingestion service for big data streaming workloads. It is capable of receiving and processing millions of events per second. Data sent to an event hub can be transformed and stored by using any real-time… Read More ›
Azure Event Hubs is an event ingestion service for big data streaming workloads. It is capable of receiving and processing millions of events per second. Data sent to an event hub can be transformed and stored by using any real-time… Read More ›
Services hosted on Azure cater to diverse modes of connectivity and communication which helps you to connect your data to power of cloud. While both IoT Hub and Event Hubs can ingest humongous datasets to process and store them for… Read More ›
The IoT Edge Runtime is a set of packages that flip a tool into an IoT Edge device. The primary responsibilities of an IoT Edge Runtime are Module Management and communication between IoT Devices. In this article, we will try… Read More ›
I recently came across a customer scenario where customer had to create hundreds of azure data factory pipeline performing similar functions which would be used across different business domains. Creating hundreds of pipelines manually can be a tiresome job. Imagine… Read More ›