Today we noticed that when in a Teams meeting on a Google Pixel phone running the latest Android 14 OS, we are unable to use the Screen Share option in a meeting.

The error message “Action Blocked. This action is not allowed by your organization.” pops up after choosing to screen sharing.

Those with this issue are able to share individual pictures, just not cast their entire screen to Teams.

This led me to believe that one of our application protection policies was blocking this feature from working, but there is no such setting to enable.  The closest one is related to screen capture and I have that allowed.

Those with Samsung Android phones with the latest Android OS 14 are successfully able to Screen Share, so its not any policy we have related to android phones.

iPhones are also successfully able to screen share from Teams without any issues.

I did also check our global policy settings for meeting and content sharing is allowed.  Content sharing is also allowed for the specific meeting we tested in.

If anyone else has a Google Pixel phone with the latest version of android on it, please let me know if you are experiencing the same problems with sharing your screen in a Teams Meeting.

​Today we noticed that when in a Teams meeting on a Google Pixel phone running the latest Android 14 OS, we are unable to use the Screen Share option in a meeting.The error message “Action Blocked. This action is not allowed by your organization.” pops up after choosing to screen sharing.Those with this issue are able to share individual pictures, just not cast their entire screen to Teams.This led me to believe that one of our application protection policies was blocking this feature from working, but there is no such setting to enable.  The closest one is related to screen capture and I have that allowed. Those with Samsung Android phones with the latest Android OS 14 are successfully able to Screen Share, so its not any policy we have related to android phones.iPhones are also successfully able to screen share from Teams without any issues. I did also check our global policy settings for meeting and content sharing is allowed.  Content sharing is also allowed for the specific meeting we tested in. If anyone else has a Google Pixel phone with the latest version of android on it, please let me know if you are experiencing the same problems with sharing your screen in a Teams Meeting.  Read More

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Hi All, I have a MS Form which has been working for several years and is linked to a powerautomate flow to put the responses into a sharepoint list etc. Randomly, the form has stopped passing its responses to the flow, it is not showing up as a failure on the flow side it’s as if the response was never submitted.

When I go to the form itself, the responses are in the excel document however the total responses says 1089 yet when I view the spreadsheet or go into the individual responses I can go to responses as far as 1099 (Screenshots Below). I’ve tried deleting old responses from the excel doc and it still does not seem to be solving my issue. Has anyone came across this before?

Thanks!

​Hi All, I have a MS Form which has been working for several years and is linked to a powerautomate flow to put the responses into a sharepoint list etc. Randomly, the form has stopped passing its responses to the flow, it is not showing up as a failure on the flow side it’s as if the response was never submitted. When I go to the form itself, the responses are in the excel document however the total responses says 1089 yet when I view the spreadsheet or go into the individual responses I can go to responses as far as 1099 (Screenshots Below). I’ve tried deleting old responses from the excel doc and it still does not seem to be solving my issue. Has anyone came across this before? Thanks!  Read More

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check out this “agent copilot” chat window inside of salesforce:

i got this screenshot from our Microsoft sme – but in turn i have yet to receive any step-by-step on how to enable this in our salesforce cloud or if this agent copilot chat window is even possible? as there is no Microsoft article i can find describing this. even talked to the SME that gave the screenshot and all she sent was article on how to setup copilot sales in outlook and teams.

so i ask this community – have you seen this salesforce copilot chat window and how do you implement this??

​check out this “agent copilot” chat window inside of salesforce:i got this screenshot from our Microsoft sme – but in turn i have yet to receive any step-by-step on how to enable this in our salesforce cloud or if this agent copilot chat window is even possible? as there is no Microsoft article i can find describing this. even talked to the SME that gave the screenshot and all she sent was article on how to setup copilot sales in outlook and teams.so i ask this community – have you seen this salesforce copilot chat window and how do you implement this??  Read More

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Hello.  I am creating a report where I want to have a dynamics connection string for based on a parameter for the Database Name.

Error message I am getting is “Format of the initialization string does not conform to specification starting at index 25.”

Is the concatenation syntax wrong in the connection string?  Can anyone point me in the right direction?  Thanks!

​Hello.  I am creating a report where I want to have a dynamics connection string for based on a parameter for the Database Name. Error message I am getting is “Format of the initialization string does not conform to specification starting at index 25.” Is the concatenation syntax wrong in the connection string?  Can anyone point me in the right direction?  Thanks!     Read More

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At Microsoft Build ’24 last week, we announced the general availability of Azure AI Studio. With this release, we are also introducing hubs, which enable developers to self-service create project workspaces and access shared company resources without needing an IT administrator’s repeated help.

Hubs provide a central way for a team to govern security, connectivity, and computing resources across playgrounds and projects. Project workspaces that are created using a hub inherit the same security settings and shared resource access. Teams can create as many project workspaces as needed to organize their work, isolate data, and/or restrict access.

By balancing easy, distributed project creation and resource management with centralized controls for security, compute governance, and compliance, Azure AI empowers developer agility and enterprise IT governance at scale.

Rapid AI use case exploration without IT bottlenecks

Successful AI applications and models typically start as prototypes, with developers testing the feasibility of an idea or assessing the quality of data or a model for a particular task. This is a steppingstone towards project funding or a full-scale implementation.

The transition from proving the feasibility of an idea to a funded project is where many organizations encounter a bottleneck in productivity, because a single platform team is responsible for the setup of cloud resources. Such a team may be the only one authorized to configure security, connectivity or other resources that may incur costs. This can cause a huge backlog, resulting in development teams getting blocked on innovating with a new idea.

Azure AI Studio hubs help mitigate this bottleneck. IT can set up a pre-configured, reusable environment, or hub, for a team one time, and a team can use that hub to create their own project workspaces for prototyping, building, and operating AI applications.

Set up and secure a hub for your team

Get started by creating a hub in Azure AI Studio, or use Azure Portal for advanced configuration options. You can customize networking, identity, encryption, monitoring or tags, to meet compliance with your organization’s requirements. Step by step guidance on how to create a hub with customized security settings can be found in our documentation.

Often, projects in a business domain require access to the same company resources such as vector indices, model endpoints or repos. As a team lead, you can pre-configure connectivity with these resources within a hub, so developers can access them from any new project workspace without delay on IT.

Connections let you access objects in AI Studio that are managed outside of your hub. For example, uploaded data on an Azure storage account, or model deployments on an existing Azure OpenAI resource. A connection can be shared with every project or made accessible to one specific project, with the option to configure key-based access or EntraID-passthrough to authorize access to users on the connected resource. Plus, as an administrator, you can easily track, audit, and manage connections across the organization from a single view in AI Studio.

Prototype on your idea in the playground

Once your hub is set up, you can immediately discover and deploy models from the Azure AI model catalog, to start experimenting in the playground without the need for a defined project. The playground in AI Studio helps developers understand how a model behaves in a controlled environment. For example, you can experiment with different system message prompts to assess the feasibility of a new idea.

Once you’re ready to integrate a model into code, you can transition to working in a project. You can get the API key from the deployment page, and select AI services, such as Azure AI Speech and Azure AI Language, come with additional REST APIs and SDKs to ease integration.

Build customized AI applications using a project

Projects are containers to help organize work and collaborate on a single use case. They help organize components, let you upload or connect with data in isolation, and restrict access to you and other project members. Projects inherit the hub’s security settings and shared resources. This includes virtual network, encryption settings, computing and storage.

In AI Studio, a project grants access to customization tools including prompt flow, content safety, fine-tuning, and assistants. With these tools, you can connect or upload your company data, add content filters for problematic inputs or outputs, evaluate your entire application for quality and safety metrics, then deploy as a webapp and monitor it in production.

If you are working in Azure Machine Learning, you can now create a project workspace from within the studio experience, too. This feature is now available in preview. By selecting a hub, you get access to shared company resources made available by your administrator including compute, connections and network connectivity.

The same project workspace can be accessed from both AI Studio and Azure Machine Learning. For teams with a mix of developers and data scientists, this means developers can use AI Studio to build and operate GenAI applications responsibly, and data scientists can user Azure Machine Learning to build and operate custom machine learning models, all while sharing components, including datasets and flows.

Organize for your team’s development needs

The number of hubs and projects you need depends on your way of working. Typically, customers aim to create a hub for a large team with similar data access needs to maximize cost efficiency, resource sharing, and minimize setup overhead. For example, you might create a hub for all projects related to customer support.

If your organization requires segregation between dev, test and production environments as part your LLMOps or MLOps strategy, consider creating a hub for each environment. Dependent on the readiness of your solution for production, you may decide to replicate your project workspace in every environment or keep it just in one.

Use Azure Role-Based Access Control (RBAC) to configure with granularity who can create hubs, projects and connections in your organization. The built-in Azure AI developer role grants permissions for common development tasks in AI Studio, so is ideal for a contributing user on a project workspace. Any user with an AI developer role assigned on a hub workspace can also create new project workspaces.

Get started in Azure

To sum up, hubs provide a shared Azure environment for a team with shared connectivity, compute and governance, yielding enhanced self-serve capabilities and business agility for development teams.

The following links provide further information on concepts and how to get started in AI Studio or Azure Machine Learning, including infrastructure template examples.

Develop and deploy generative AI apps responsibly with Azure AI Studio
Azure AI hub resource concepts – Azure AI Studio
How to create and manage an Azure AI hub resource – Azure AI Studio
Create an AI hub using a Bicep template – Azure AI Studio
What are hub workspaces? – Azure Machine Learning
Manage workspaces in portal or Python SDK (v2) – Azure Machine Learning

​Microsoft Tech Community – Latest Blogs –Read More 

By Andrey Karpovsky

Introduction

In the complicated and rapidly evolving realm of cybersecurity, Exposure Management plays a pivotal role in fortifying organization’s defenses against potential threats. To empower security teams, Microsoft Security Exposure Management has unveiled two new powerful tables within
Advanced Hunting: ExposureGraphNodes and ExposureGraphEdges.

The introduction of these tables opens novel capabilities for security teams. It enables efficient investigation of security posture across organizational assets. This is the first in a series of posts where we will present the tables and share investigation scenarios (along with relevant queries) for Advanced Hunting. These queries unlock capabilities that were previously unattainable. We’ll provide screenshots and Kusto Query Language snippets to guide you through your reading.

Understanding the tables

As John Lambert’s saying that is well-known in the security domain goes, ‘Defenders think in lists. Attackers think in graphs. As long as this is true, attackers win.’ By exposing the context around each asset, relations between assets and the graph-based toolset for exploring them, we hope to start changing this.

Read the full post here: Microsoft Security Exposure Management Graph: unveiling the power

​By Andrey Karpovsky
 
Introduction
In the complicated and rapidly evolving realm of cybersecurity, Exposure Management plays a pivotal role in fortifying organization’s defenses against potential threats. To empower security teams, Microsoft Security Exposure Management has unveiled two new powerful tables within Advanced Hunting: ExposureGraphNodes and ExposureGraphEdges.
 
The introduction of these tables opens novel capabilities for security teams. It enables efficient investigation of security posture across organizational assets. This is the first in a series of posts where we will present the tables and share investigation scenarios (along with relevant queries) for Advanced Hunting. These queries unlock capabilities that were previously unattainable. We’ll provide screenshots and Kusto Query Language snippets to guide you through your reading.
 
Understanding the tables
As John Lambert’s saying that is well-known in the security domain goes, ‘Defenders think in lists. Attackers think in graphs. As long as this is true, attackers win.’ By exposing the context around each asset, relations between assets and the graph-based toolset for exploring them, we hope to start changing this.
 

 
Read the full post here: Microsoft Security Exposure Management Graph: unveiling the power  Read More

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