Header Image

Introduction

As organizations adopt Microsoft 365 tools like Teams, SharePoint Online (SPO), and the Power Platform, common questions often arise. These typically center around collaboration, security, lifecycle management, and licensing. Below are some of the top questions we frequently hear from users and administrators.

Microsoft Teams

  1. How do I manage guest access without compromising security?
    Ensuring external users can collaborate while keeping sensitive content protected.

  2. Can I archive a Team without deleting its content?
    Understanding data retention and team lifecycle management.

  3. How do permissions differ between Owners, Members, and Guests?
    Clarifying role-based access and control in Teams spaces.

SharePoint Online (SPO)

  1. How do I safely share documents with external users?
    Balancing collaboration and data security.

  2. What’s the difference between a Communication Site and a Team Site?
    Choosing the right site type for organizational needs.

  3. How do permissions inheritance and unique permissions work?
    Managing site and document-level access effectively.

Power Platform

  1. What licensing do I need to use premium connectors?
    Understanding licensing impact on solution scalability.

  2. How do I manage environments and their security?
    Structuring environments to control development, testing, and production access.

  3. How do I control user permissions to apps, flows, and Dataverse tables?
    Applying role-based security to manage who can view, edit, or run solutions.

Closing

These questions represent just a few of the critical considerations organizations face when deploying Microsoft 365 tools. Addressing them early helps promote adoption, manage risk, and empower teams to get the most value from their digital workplace.


Dan Sanabria, Ph.D. (Candidate)

This article was written by Dan Sanabria, an AI Research Scientist.

Daniel Sanabria is an AI Research Scientist with a wealth of experience in artificial intelligence (AI), machine learning, and natural language processing, with a primary focus on applying these technologies to the frontier of space exploration. With a solid background in software engineering, data science, and advanced AI techniques, Daniel’s work is grounded in innovative approaches to solving some of the most complex challenges in space robotics.

His current research, as outlined in his dissertation "Traversing Mars: A Rover and AI Experience", explores the integration of AI-driven systems for autonomous operation of rovers and drones on Mars. His research seeks to leverage advanced AI techniques such as machine learning, neuromorphic computing, and quantum computing to overcome the harsh environmental constraints of Mars, such as communication delays, power limitations, and extreme terrain.

The dissertation explores interdisciplinary strategies that combine AI, physics, neuroscience, and engineering to enhance robotic autonomy, focusing on AI’s role in optimizing decision-making processes for Mars-based rovers and aerial drones. Daniel’s work is contributing to the future of autonomous exploration beyond Earth, making AI-driven systems capable of operating independently in extraterrestrial environments.

With over a decade of experience in technology and AI, Daniel is deeply committed to pushing the boundaries of AI and space exploration. He is driven by the belief that AI will be a key enabler in the next era of space missions, allowing us to explore other planets with greater autonomy, efficiency, and precision.

Education

  • PhD in Artificial Intelligence, Capitol Technology University, 2025

  • MS in Computer Science with Concentration in Artificial Intelligence, Lewis University, 2022

  • BS in Computer Science, Rasmussen University, 2020

  • AS in Application and Software Development, Rasmussen University, 2019

Previous
Previous

Smarter Workflows, Safer Data: AI Builder in the GCC, GCC High, and DoD Era

Next
Next

Can Quantum Computing Revolutionize Space Exploration?