Overview
Accelerate multimodal AI app development
Azure AI Content Understanding helps enterprises transform unstructured multimodal data into insights.
- Derive meaningful insights from diverse types of input data, ranging from text, audio, images, and video.
- Achieve precise, high-quality data for downstream applications with sophisticated AI methods such as scheme extraction and grounding.
- Streamline and unify pipelines of varied data types into a single streamlined workflow, reducing overall costs and accelerating time to value.
- See how businesses and call center operators generate valuable insights from call recordings to track essential KPIs, enhance product experiences, and respond to customer inquiries more swiftly and accurately.
Features
Multimodal AI: Transforming data into insights
Multimodal data ingestion
Ingest a range of modalities, such as documents, images, audio, or video, and use a range of AI models available in Azure AI to transform input data into structured output that can be easily processed and analyzed by downstream applications.
Customizable output schemas
Customize the schemas of extracted results to meet your specific needs. Tailor the format and structure of summaries, insights, or features to include only the most relevant details—such as key points or timestamps—from video or audio files.
Confidence scores
Utilize confidence scores to reduce human intervention and improve accuracy with continuous improvement through user feedback.
Output ready for downstream applications
Output can be consumed by downstream applications for reasoning with retrieval-augmentation generation (RAG) to build your enterprise generative AI apps or agentic workflows to automate business processes.
Grounding
Ensure the information extracted, inferred, or abstracted is represented in the underlying content.
Automatic labeling
Save time and effort on manual annotation and create models quicker by using large language models (LLMs) to extract fields from various document types.
Security
Built-in security and compliance
Microsoft has committed to investing $20 billion in cybersecurity over five years.
We employ more than 8,500 security and threat intelligence experts across 77 countries.
Azure has one of the largest compliance certification portfolios in the industry.
Use cases
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Customer stories
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Resources
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FAQ
Frequently asked questions
- Content Understanding is a new Azure AI service that helps enterprises accelerate multimodal AI app development in the age of generative AI. Content Understanding takes diverse types of input data—ranging from text, audio, images, documents, and video—and enables organizations to build generative AI solutions seamlessly with the latest models available. AI can already analyze docs, build bots, and recognize faces. Content Understanding offers a new opportunity for enterprises to develop applications that can combine all of these using pre-built templates designed to address the most common use-cases, or they can build custom models to address domain-specific or enterprise-specific use-cases—all without ever requiring specialized generative AI skills such as prompt engineering. The service allows enterprises to bring their domain expertise and build automation workflows, continuously improving the output and always ensuring robust accuracy. This new AI service is built using Azure’s industry-leading enterprise security, data privacy, and responsible AI guidelines.
- Content Understanding enables developers to leverage data types across modalities simultaneously into their existing apps and deploy custom models for their enterprise. It significantly simplifies generative AI solution development for multimodal scenarios and removes the manual effort to switch to the latest model upon release. It accelerates time-to-value with multiple modalities simultaneously analyzed in a unified workflow.
- Check out Azure AI Content Understanding in the Azure AI Studio.
- Azure AI Content Understanding is offered at no cost at this time. Pricing details will be provided at a later date.
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