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Incremental enrichment is a new feature of Azure Cognitive Search that brings a declarative approach to indexing your data.
Organizations face challenges when it comes to extracting insights, finding meaning, and uncovering new opportunities in the vast troves of content at their disposal. In fact, 82 percent of…
Through integration with Cognitive Services APIs, Azure Search has long had the ability to extract text and structure from images and unstructured content.
News and updates from Azure premium files, Azure Blockchain, Azure Machine Learning, and more.
Data is rarely simple. Not every piece of data we have can fit nicely into a single Excel worksheet of rows and columns. Data has many diverse relationships such as the multiple locations and phone numbers for a single customer or multiple authors and genres of a single book.
The Microsoft Worldwide Learning Innovation lab is an idea incubation lab within Microsoft that focuses on developing personalized learning and career experiences. One of the recent experiences that the lab developed focused on offering skills-based personalized job recommendations.
Customers across industries including healthcare, legal, media, and manufacturing are looking for new solutions to solve business challenges with AI, including knowledge mining with Azure Search.
Today, data isn’t the barrier to innovation, usable data is. Real-world information is messy and carries valuable knowledge in ways that are not readily usable and require extensive time, resources, and data science expertise to process. With Knowledge Mining, it’s our mission to close the gap between data and knowledge.
Azure Search ist ein KI-gestützter Cloudsuchdienst für die Entwicklung von modernen mobilen und Web-Apps. Die Besonderheit des Cloudsuchdiensts Azure Search besteht in der integrierten künstlichen Intelligenz (KI), die Informationen jeglicher Art ergänzt. So können Sie relevante Inhalte bedarfsorientiert identifizieren und untersuchen.