Integrating Azure Cognitive Services in Power Platform

Learn about Use Azure Cognitive Services within the Power Platform

Artificial Intelligence (AI) and Machine Learning are shaping the tech industry in unimaginable ways, making complex technologies more accessible to businesses and individuals alike. In this article, we delve into Microsoft's robust AI infrastructure, Azure Cognitive Services, and its utilization within the Power Platform.

Microsoft, leading the AI revolution with offerings ranging from chatbots to facial recognition technology, has been making significant strides in AI research and development. It has made pivotal advances with Azure Cognitive Services, a part of its core Platform as a Service (PaaS) offerings.

As Azure Cognitive Services is a cloud-based solution, it gives developers the ability to infuse intelligent capabilities into their applications across five categories: vision, speech, language, decision-making, and Azure openAI services. Its integration eliminates the necessity for deep AI or data science expertise, saving you significant time and cost.

The core categories of Azure Cognitive Services - Vision APIS, Speech APIS, Language APIS, Decision APIS, and Azure OpenAI - each come with their select services and quickstart capability, catering to unique business requirements. This adaptability underscores Microsoft's efforts to democratize AI technology, serving needs across healthcare, finance, and manufacturing sectors.

To illustrate, we present an example of Azure Cognitive Services in action with a Power Platform - Canvas App. This app classifies book pictures into categories like front, cover, colophon, and back flip using the Custom Vision model of the Azure AI solutions.

The process begins with creating the Custom Vision model in Azure, followed by setting up a new Custom Vision Connection in the Power Platform. Subsequently, the Custom Vision is added to a Canvas App. The app then uses the model to classify and analyze book pictures, providing prediction values in a result table below.

The app implementation elucidates how AI models like Azure Cognitive Service can be efficiently deployed, calling out the significance of the Fusion Development method. It involves low code solutions and pro-code solutions aligning to provide robust platforms. This fusion of the Azure platform and the Power Platform empowers what is now referred to as 'Citizen Developers'.

In conclusion, the amalgamation of Azure and Power Platforms offers businesses a compelling, straightforward way to develop applications with AI capabilities. By embracing the power of Azure and leveraging the Custom Vision connector documentation, organizations can unlock new potentials and acclimatize to an AI-shaped future.

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