When building solutions, when should you use Microsoft Dataverse? Why would you choose Dataverse over SharePoint or SQL for your solutions? To understand the reason why your organization would benefit by using Dataverse, IT admins and solution developers need to have a better understanding of Dataverse offers. Luckily, Oleg Ovanesyan joins the podcast to give us the low down in what will become a series of demystifying Dataverse.

When building solutions, when should you use Microsoft Dataverse? Why would you choose Dataverse over SharePoint or SQL for your solutions? To understand the reason why your organization would benefit by using Dataverse, IT admins and solution developers need to have a better understanding of Dataverse offers. Luckily, Oleg Ovanesyan joins the podcast to give us the low down in what will become a series of demystifying Dataverse.

Episode 64: Demystifying Dataverse (w/ Oleg Ovanesyan)

As organizations accelerate their adoption of generative AI and intelligent agents to transform how they build and manage solutions, IT professionals and developers are expanding their expertise to design, deploy, and govern AI-powered systems—leveraging Microsoft Copilot Studio and Azure AI Foundry to integrate collaboration tools, enforce enterprise-grade compliance, and support both low-code and pro-code development. With built-in security frameworks, governance controls, and seamless integration with Microsoft Security, Entra, and Purview, these platforms empower teams to innovate responsibly while maintaining visibility, control, and trust across the AI lifecycle. Learn from Microsoft MVPs, product team members, and industry practitioners how they’ve built secure, collaborative, and compliant AI applications and agents using Microsoft’s trusted AI ecosystem.

Technology

As organizations accelerate their adoption of generative AI and intelligent agents to transform how they build and manage solutions, IT professionals and developers are expanding their expertise to design, deploy, and govern AI-powered systems—leveraging Microsoft Copilot Studio and Azure AI Foundry to integrate collaboration tools, enforce enterprise-grade compliance, and support both low-code and pro-code development. With built-in security frameworks, governance controls, and seamless integration with Microsoft Security, Entra, and Purview, these platforms empower teams to innovate responsibly while maintaining visibility, control, and trust across the AI lifecycle. Learn from Microsoft MVPs, product team members, and industry practitioners how they’ve built secure, collaborative, and compliant AI applications and agents using Microsoft’s trusted AI ecosystem.

As organizations accelerate their adoption of generative AI and intelligent agents to transform how they build and manage solutions, IT professionals and developers are expanding their expertise to design, deploy, and govern AI-powered systems—leveraging Microsoft Copilot Studio and Azure AI Foundry to integrate collaboration tools, enforce enterprise-grade compliance, and support both low-code and pro-code development. With built-in security frameworks, governance controls, and seamless integration with Microsoft Security, Entra, and Purview, these platforms empower teams to innovate responsibly while maintaining visibility, control, and trust across the AI lifecycle. Learn from Microsoft MVPs, product team members, and industry practitioners how they’ve built secure, collaborative, and compliant AI applications and agents using Microsoft’s trusted AI ecosystem.

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Episode 64: Demystifying Dataverse (w/ Oleg Ovanesyan)

Episode 64: Demystifying Dataverse (w/ Oleg Ovanesyan)

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