Microsoft announces the release of Azure AI Content Understanding (Azureartificial intelligenceContent Insights) an actionable preview that allows enterprises to use artificial intelligence functions to extract useful information from content analysis in many forms, thus transforming various types of unstructured data into structured insights , implemented.
Microsoft gives a public preview of Azure artificial intelligence content visualization capabilities that can analyze unstructured data such as files, images, videos, etc.
Many artificial intelligences claim to help enterprises analyze data content, but analysis of unstructured content is relatively limited, or must be sorted one by one before summarizing. to make it into useful analysis results Therefore, Microsoft hopes to use the Azure AI Content Understanding function to allow Competent enterprises to effectively analyze all types of unstructured data.
Behind the Azure AI Content Understanding function, Microsoft’s multimodal artificial intelligence model is used to process various types of unstructured data, so that files, images, videos and other content can be converted into structured formats, and can be to explore and retrieve artificial intelligence. more effective Useful information to gain actionable insights.
The enterprise can customize the data acquisition structure, such as capturing subtitles, key section images, or content summaries, key thumbs, etc. in the video, and Microsoft also boasts that the accuracy of results the analysis through very high artificial intelligence. It has a level of confidence and applications to allow companies to get accurate information while reducing human impact.
Through a single service pipeline, you can easily draw insights from a variety of unstructured data and ensure accurate analysis and data availability. and they can also help companies reduce the complexity of introducing or developing artificial intelligence technology applications, thereby reducing the overall labor and time costs of the operation.
Currently, the Azure AI Content Understanding function can be used for call content analysis, tax process automation, media asset management and content creation, or insurance claims, video content extraction, etc. For example, companies can use this function to analyze the main points of customer service discussions or meeting meetings, and even analyze the content of the discussion and the emotional state of different speakers when they speak. , or analyze key features from images and videos such as brand references, scenes, and characters.
In addition, Microsoft further emphasizes that the Azure AI Content Understanding function is based on the security of its cloud service platform, as well as the principles of data privacy and Microsoft’s responsible artificial intelligence technology design, ensuring that all data processed with the highest security standards. and according to local regulations.
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Content, enhancing content creation and curation. In the healthcare sector, it enables the extraction of useful information from medical documents and images, improving patient care and operational efficiency. Retailers can utilize it to understand customer behavior through sentiment analysis of social media and reviews, leading to better marketing strategies. Moreover, financial institutions can streamline compliance processes and risk assessment by analyzing unstructured data from reports and communications. Azure AI Content Understanding democratizes data analysis for companies of all sizes, enabling them to leverage unstructured data effectively to drive innovation and growth.
Interview with [Guest 1]:
Mashdigi: As an expert in AI technology, what do you think are the biggest challenges in analyzing unstructured data like images, videos, and documents? How do you see the Azure AI Content Understanding function addressing these challenges?
Guest 1: One of the biggest challenges in analyzing unstructured data is the lack of standardization and structure within the data itself. Unlike structured data, which is organized in a predetermined format, unstructured data can vary vastly in terms of content, format, and context. This makes it difficult to apply traditional data analysis techniques and tools. The Azure AI Content Understanding function addresses this challenge by using advanced natural language processing (NLP) and machine learning algorithms to extract insights from the data. It can handle various types of unstructured content, including text, images, videos, and audio, and transform them into structured data that can be easily analyzed. By providing a unified pipeline for content analysis, it simplifies the entire process and makes it accessible to enterprises without requiring extensive AI expertise.
Mashdigi: How do you think the Azure AI Content Understanding function will impact the way businesses approach content analysis and management?
Guest 1: I believe this function will significantly reduce the complexity and cost of content management for businesses. It will enable them to extract valuable insights from their unstructured data, which can be used to inform decision-making, improve customer experience, and drive business growth. For instance, a media company can use this function to analyze video content and extract keyframes or scenes that are most likely to resonate with their audience, thus enhancing the quality of their content. Similarly, a financial firm can use it to analyze customer feedback and sentiment to improve their products and services. The function also improves data privacy and security, as it is built on Microsoft’s cloud platform, ensuring that sensitive data is protected at all times.
Interview with [Guest 2]:
Mashdigi: Can you describe the benefits of Azure AI Content Understanding for companies in different industries?
Guest 2: Azure AI Content Understanding offers numerous benefits across various industries. For media and entertainment companies, it can be used to analyze and extract insights from large volumes of
