Summary
AI is disrupting businesses across industries—and enables fast-moving organizations to achieve superior business results across the board. AI can be a complex discipline, but the advancements in AI technologies make the adoption tangible for every business. Understanding which resources are available and when to use prebuilt AI or build custom machine learning models is vital.
This information prepares you to use AI in your organization, communicate with your data science team, and fully join the AI journey. Even employees without coding expertise can benefit from AI embedded in everyday applications. While using and developing AI, remember to follow responsible AI practices.
After this module, you should be able to:
- Prioritize AI use cases by value, feasibility, and time to value, and track results with clear Key Performance Indicators (KPIs)
- Unify data, modernize infrastructure, and adopt Azure services to run secure, compliant AI at scale
- Put governance, security, and regulatory controls in place to manage risk and maintain trust
- Enable people to use AI in daily work with Copilot, agents, and low-code tools to boost productivity and streamline processes
Use these resources to discover more
- Stay up to date with Microsoft AI. Visit our AI website.
- To learn more about Microsoft commitment to responsible AI, visit our Responsible AI website.
- To learn more about how AI in Microsoft 365, read AI in Microsoft 365.
- To learn more about our intelligent business applications, visit our Dynamics 365 AI homepage.
- To learn more about all the prebuilt AI models available at Foundry Tools, read our technical documentation on Foundry Tools.
- To learn more about the models delivered by Azure OpenAI Service, read our technical documentation on Azure OpenAI Service.
- To learn more about privacy and security in Azure OpenAI Service, read our legal documentation on Azure OpenAI Service.