Post Content
Deploying and managing AI workloads on Azure requires a scalable, secure, and efficient approach. This demo shows how the latest Terraform features automate infrastructure provisioning for Microsoft Azure, enabling seamless data integration and AI-driven insights. Learn how Terraform ensures consistent, policy-driven deployments, reducing manual effort and enhancing security. Discover how organizations can accelerate AI adoption with automated governance and streamlined cloud operations.
To learn more, please check out these resources:
* https://www.hashicorp.com/en/contact-sales
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* David Wright
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
ODFP966 | English (US) | Cloud Platform
Related Sessions:
BRK196 — https://build.microsoft.com/sessions/BRK196?wt.mc_id=yt_PLlrxD0HtieHgukvOrEw3CqZuKtxiu_wnM
#MSBuild, #CloudPlatform
Chapters:
0:00 – Challenges in AI Projects: High Failure Rates and Reasons
00:00:43 – Top Priorities and Main Challenges in AI Projects
00:04:04 – Adherence to Best Security Practices
00:05:48 – Privacy Concerns in Information Sharing
00:06:13 – Emerging Security Threats in AI Architecture
00:12:26 – Front End Interface Initiation: Azure OpenAI Chatbot
00:13:21 – Validating Support Contact Information
00:13:56 – Extracting Platform Keys and Sensitivity Awareness
00:16:08 – Security and Scalability with HashiCorp Cloud Platform Read More Microsoft Developer
