In this technical handbook, learn to build commercially successful AI-powered solutions and applications on Azure, apply Azure AI tools for advanced analytics, and establish strong data governance to drive innovation, sales, and business growth.
Read the Azure Data and AI Architect Handbook for technical guidance on:
- Identifying key roles in data science, governance, and compliance that are essential to scaling AI on Azure.
- Designing AI solutions by assessing data quality, selecting pre-trained or custom models, and meeting performance standards.
- Implementing robust data governance frameworks to maintain security, compliance, and data integrity.
- Evaluating AI investment opportunities, managing evolving data architectures, and navigating industry regulations to stay competitive.
Access the Ebook here: Azure Data and AI Architect Handbook: Adopt a structured approach to designing data and AI solutions
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