Azure AI Video Indexer collaborates with Dataloop to integrate vison and intelligence
This post highlights a collaboration between Azure AI Video Indexer and Dataloop, enabling developers to leverage video content for innovative AI projects. The integration of Azure AI Video Indexer within the Dataloop AI pipeline and platform enhances Dataloop's AI development environment with Azure's advanced video analytics technology, offering its users more than 40 Azure AIs. By automating complex tasks such as content moderation, object tracking, and feature extraction, video analytics technology powers efficiency and innovation, enabling businesses to unlock immense value. Dataloop is an enterprise-grade end-to-end AI development platform for building and deploying powerful AI systems, offering unique features such as robust data management, an orchestration layer, MLOps tooling, an AI cloud environment, and a model marketplace for efficient data and AI building. All these tools are designed to streamline the data and AI building process, offering businesses the requisite support to build powerful AI systems quickly and efficiently. Users can learn more about the integration via a video demo by Shlomi Avigdor, the VP product of Dataloop.
The collaboration between Azure AI Video Indexer and Dataloop highlights the importance of partnerships and collaborations in driving innovation and efficiency. This collaboration offers businesses interested in AI development and video content processing an opportunity to leverage powerful tools designed to streamline the process of building innovative AI projects in one efficient and seamless pipeline.
Contact details of the engineers and developers involved in creating and supporting the integration are provided at the end of the post.
Published on:
Learn moreRelated posts
Generate insights from audio and video data using Speech analytics in Azure AI Studio
In this video, we explore the power of speech analytics in Azure AI Studio to extract insights from audio and video data. This technology help...
Extract Data from Invoices using a Document Processing Custom AI Model
In this video, you'll learn about a custom AI model that can extract data from invoices, making your workflow more efficient and error-free. T...
Microsoft Stream: Site-level video analytics dashboard
Microsoft Stream has a new advanced video analytics dashboard feature that provides aggregated analytics for videos on a SharePoint site. This...
Announcing Preview of Azure AI Video Indexer Cloud-to-Edge Version
Azure AI Video Indexer, an Azure AI, solution with artificial intelligence and cognitive capabilities that are specifically designed for video...
Streamline Your AI Application Development with Prompt Flow in Azure Machine Learning
This video is a resource for those seeking to streamline the development process of AI applications with Azure Machine Learning's Prompt Flow....
Extract text from Email Body using AI in Power Automate flows | Azure OpenAI GPT
This tutorial video demonstrates a step-by-step process for using AI in Power Automate flows to extract unstructured text data from email bodi...
Harness data insights from cloud to edge with Azure Machine Learning and data services
This video discusses how Azure Machine Learning and data services can help harness valuable data insights from cloud to edge. As the future be...
Video analytics using Azure private MEC
This video showcases how Tech Mahindra and STC utilized Azure private multi-access edge compute to construct a private 5G network. By harnessi...
AI + AI Infrastructure on Microsoft Azure
This video sheds light on the use of artificial intelligence (AI) and AI infrastructure for solving complex problems facing our society today....
Unstructured Document Processing with Power Automate and AI Builder
In this video, you'll learn how to leverage the combined power of Power Automate and AI Builder to process unstructured documents more efficie...