Understanding Custom Models For Azure AI Explained - AI and Machine Learning Explained

Описание: Understanding Custom Models For Azure AI Explained Are you curious about how custom models in Azure AI can transform your business processes? In this video, we’ll explain what these models are and how they can be tailored to meet your unique data needs. We’ll cover the steps involved in creating a custom AI model, from gathering sample documents to training and testing the model for optimal performance. You’ll learn how to upload data securely to Azure Blob Storage, use Azure’s Document Intelligence tools, and combine multiple models for complex tasks. We’ll also discuss how to manage, monitor, and update your models over time to keep them running smoothly. Additionally, we’ll explore how developers can utilize APIs and SDKs in languages like Python and C#, or work through a visual interface called Document Intelligence Studio, to build solutions that fit their workflows. The video highlights the benefits of deploying custom models on the cloud, including scalability and automation of data extraction from receipts, contracts, or handwritten notes—saving time and reducing errors. We’ll also touch on important ethical considerations, such as data privacy and fairness, supported by Azure’s security and compliance tools. Finally, discover how custom models integrate with other AI tools to streamline your operations and improve accuracy. Whether you're a business owner or a data professional, understanding custom models in Azure AI can help you optimize your data-driven tasks effectively.

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