Master Multimodal AI with Azure AI Content Understanding

Transform unstructured data into multimodal app experiences with Azure AI Content Understanding.

Beyond basic text, artificial intelligence (AI) capabilities are expanding quickly to better represent input and information that reflects our real world. Microsoft Azure is introducing Azure AI Content Understanding to speed up, simplify, and lower the cost of developing multimodal applications that include text, music, images, and video. Currently in preview, this service uses generative AI to extract information into flexible structured outputs.

Pre-built templates offer a streamlined workflow and the flexibility to customize outcomes for a range of use cases, including marketing automation, content search, call center analytics, and more. Additionally, this service can help developers streamline the process of developing AI applications while preserving accuracy and security by processing data from multiple modalities at once.

Boost the Speed of Multimodal AI Development with Azure AI Content Understanding.

Summary

Accelerate the development of multimodal AI applications

Azure AI Content Understanding can help businesses turn unstructured multimodal data into insights.

Get insightful information from a range of input data forms, such as text, audio, images, and video.

Utilize sophisticated artificial intelligence methods such as grounding and scheme extraction to generate precise, superior data for use in subsequent processes.

Reduce costs and accelerate time to value by streamlining and integrating pipelines with various data types into a single, effective procedure.

Find out how companies and call center operators may use call logs to gather valuable data that can be used to monitor important performance metrics, enhance customer service, and respond to customer inquiries more quickly and accurately.

Qualities

Transforming data into insights with multimodal AI

Multiple forms of data intake

Use Azure AI's range of AI models to transform incoming data into structured output that downstream applications can easily handle and evaluate after consuming a range of modalities, such as text, images, audio, and video.

Customized output schemas

Change the schemas of the gathered results to fit your needs. Verify that summaries, insights, or features are presented and organized to only contain the most significant details like timestamps or key points from audio or video recordings.

Ratings of confidence

Confidence scores can be used to improve accuracy and reduce the requirement for human intervention with user feedback.

The ready-made output that might be utilized in further procedures

The result can be utilized by downstream applications to create enterprise generative AI apps utilizing retrieval-augmentation generation (RAG) or to automate business processes using agentic workflows.

Being grounded

The underlying content should contain a representation of the information that has been extracted, inferred, or abstracted.

Automated labeling

You may create models faster and save time and effort on human annotation by using large language models (LLMs) to extract fields from various document types.

FAQs

Azure AI Content Understanding: What is it?

A new Azure AI service called Content Understanding helps companies create multimodal AI products more quickly in the age of generative AI. Content Understanding enables companies to easily develop generative AI solutions using the most recent models available on the market by utilizing a range of input data formats, such as text, audio, images, documents, and video. AI is already able to analyze papers, create bots, and recognize faces. Content Understanding offers businesses a new way to develop applications that can integrate all of these without ever requiring specialized generative AI skills like prompt engineering. This can be done by creating custom models to address use-cases that are unique to a given domain or enterprise, or by using pre-built templates designed to address the most common use-cases. Businesses can use the service to share their subject expertise and develop automated procedures that ensure high accuracy and continuously increase output. This new AI service was created using Azure's industry-leading enterprise security, data privacy, and ethical AI guidelines.

What advantages can Azure AI Content Understanding offer?

With Content Understanding, developers can incorporate data types from several modalities into their existing apps and create custom models for their company. It substantially simplifies the process of developing generative AI solutions for multimodal scenarios and removes the need to manually switch to the latest model when it becomes available. By simultaneously assessing multiple modalities in a single workflow, it accelerates time-to-value.