Microsoft brings more artificial intelligence technology to service content development
In contrast to the primary focus on cloud integration application development during the Build Developer Conferences of 2021 and 2022, this year’s Build 2023, deepening its partnership with OpenAI, Microsoft has taken a step further to infuse more artificial intelligence technology resources into service development, thereby empowering developers to create rich AI technology application services.
For instance, Microsoft, in parallel with enhancing plugin support in its Microsoft 365 Copilot service, has also presented relevant design standards. Furthermore, it offers design tools for service products integrating Copilot AI application features, enabling developers to create various Copilot application services. This not only enlarges their development content opportunities but also broadens the reach of Microsoft service products.
Moreover, Microsoft, through new tool resources, simplifies the threshold for enterprises and developers to incorporate AI technology. It allows developers to more easily integrate auto-generative AI into their services, for example, through Azure OpenAI service and including Azure AI technology and machine learning resources. Coupled with large natural language models provided by Microsoft, it becomes easier to create AI services that interact with natural sentences.
With respect to AI technology applications, Microsoft, besides emphasizing transparency in data acquisition, also ensures the secure operation of AI technology with a responsible attitude. During Build 2023, Microsoft further announced the launch of the preview version of Azure AI Content Safety mechanism. This allows developers to construct safer AI application services, which can proactively filter inappropriate text and image content. It even allows managers to determine which content needs extra control or urgent correction based on content tagging scores.
As for the incorporation of more auto-generative AI technology, Microsoft anticipates that its service products will become a large-scale AI technology application platform. This platform should form an economic ecosystem capable of attracting a majority of developers to reside in, thereby creating a variety of Copilot service content.
However, Microsoft continues to emphasize cloud platform development. For example, last year, it announced that it would enable development teams to build a project-oriented infrastructure, allowing developers to concentrate more on development operations in a secure environment. The Azure Deployment Environments, a cloud virtualization environment service, is essentially a culmination of seven years of refining since the 2016 Azure DevTest Labs. It became a formal service item, supporting Infrastructure as Code tool Terraform file data, while also merging Azure Developer CLI (azd) service with Azure Deployment Environments service.
