Presented by Microsoft Cloud, this webinar explores how Terawe ManageX enables universities to build secure, AI-enabled research workflows on Azure, supporting scalable compute and compliance needs.

Future-Proofing Academic Research: Secure AI Computing Workflows with Terawe ManageX on Azure

Webinar Overview

In this session, Microsoft Cloud and Terawe Corporation introduce how universities can deploy Terawe ManageX on Azure to deliver on-demand, self-provisioned research workspaces. These environments are designed for:

• Compute-intensive, data-driven, and AI-enabled projects
• Customizable compute environments supporting a range of research workloads
• Automated data pipelines for streamlined data management
• High-performance computing (HPC), with the flexibility to scale resources as needed
• Integrated access to advanced AI models and services
• Secure enclaves and compliance for sensitive research data
• Researcher autonomy through self-service provisioning—without direct infrastructure management

Key Benefits

• Accelerated Research: Reduce project timelines with self-service, ready-to-use environments
• Reduced IT Overhead: Institutional IT can enable secure, compliant research computing without manual provisioning
• Policy Compliance: Tools and workflow patterns to ensure alignment with institutional security and budget policies

Live Demo Highlights

• Walkthrough of ManageX workspace creation
• Example of an automated data pipeline for research workflows
• Integration with cutting-edge AI models on Azure

Real-World Case Studies

• How universities leveraged ManageX to scale complex, multi-disciplinary research initiatives
• Examples of supporting data governance, reproducibility, and researcher autonomy

Join the Community

Stay updated on future webinars and research technology topics by joining the Microsoft Azure for Academic Research LinkedIn community.

Relevant Topics

• Trusted Research Environments (TREs)
• Site Reliability Engineers (SREs) in research compute
• Secure cloud automation
• Managing research compliance and sensitive data

To learn more about deploying advanced research environments on Azure, and to explore how your institution can accelerate data-driven discovery, follow the series for future sessions.