This article is contributed. See the original author and article here.
Overview
Azure Video Indexer (AVI) offers a comprehensive suite of models that extract diverse insights from the audio, transcript, and visuals of videos. Recognizing the boundless potential of AI models and the unique requirements of different domains, AVI now enables integration of custom models. This enhances video analysis, providing a seamless experience both in the user interface and through API integrations.
The Bring Your Own (BYO) capability enables the process of integrating custom models. Users can provide AVI with the API for calling their model, define the input via an Azure Function, and specify the integration type. Detailed instructions are available here.
Demonstrating this functionality, a specific example involves the automotive industry: Users with numerous car videos can now detect various car types more effectively. Utilizing AVI’s Object Detection insight, particularly the Car class, the system has been expanded to recognize new sub-classes: Jeep and Family Car. This enhancement employs a model developed in Azure AI Vision Studio using Florence, based on a few-shots learning technique. This method, leveraging the foundational Florence Vision model, enables training for new classes with a minimal set of examples – approximately 15 images per class.
The BYO capability in AVI allows users to efficiently and accurately generate new insights by building on and expanding existing insights such as object detection and tracking. Instead of starting from scratch, users can begin with a well-established list of cars that have already been detected and tracked along the video, each with a representative image. Users can then use only numerous requests for the new Florence-based model to differentiate between the cars according to their model.
To demonstrate the usage of building customized AI pipeline, we will be using the following pipeline that leverages several key aspects of Video Indexer components and integrations:
1. Users employ their existing Azure Video Indexer account on Azure to index a video, either through the Azure Video Indexer Portal or the Azure Video Indexer API.
2. The Video Indexer account integrates with a Log Analytics workspace, enabling the publication of Audit and Events Data into a selected stream. For additional details on video index collection options, refer to: Monitor Azure Video Indexer | Microsoft Learn.
3. Indexing operation events (such as “Video Uploaded,” “Video Indexed,” and “Video Re-Indexed”) are streamed to Azure Event Hubs. Azure Event Hubs enhances the reliability and persistence of event processing and supports multiple consumers through “Consumer Groups.”
4. A dedicated Azure Function, created within the customer’s Azure Subscription, activates upon receiving events from the EventHub. This function specifically waits for the “Indexing-Complete” event to process video frames based on criteria like object detection, cropped images, and insights. The compute layer then forwards selected frames to the custom model via Cognitive Services Vision API and receives the classification results.In this example it sends the crops of the representative image for each tracked car in the video.
Note: The integration process involves strategic selection of video frames for analysis, leveraging AVI’s car detection and tracking capabilities, to only process representative cropped images of each tracked car in the custom model.
5. The compute layer (Azure Function) then transmits the aggregated results from the custom model back to the Azure API to update the existing indexing data using the Update Video IndexAPI Call.
6. The enriched insights are subsequently displayed on the Video Indexer Portal. The ID in the custom model matches the ID in the original insights JSON.
Figure 2: New Insight widget in AVI for the custom model results
Note: for more in-depth step-by-step tutorialaccomplished with code sample, please consult the official Azure Video Indexer GitHub Sampleunder the “Bring-Your-Own” Section.
Result Analysis
The outcome is a novel insight displayed in the user interface, revealing the outcomes from the custom model. This application allowed for the detection of a new subclass of objects, enhancing the video with additional, user-specific insights. In the examples provided below, each car is distinctly classified: for instance, the white car is identified as a family car (Figure 3), whereas the red car is categorized as a jeep (Figure 4).
Figure 3: Azure Video Indexer with the new custom insight for the white car classified as family car.
Figure 4: Azure Video Indexer with the new custom insight for the red car classified as family jeep.
Conclusions
With only a handful of API calls to the bespoke model, the system effectively conducts a thorough analysis of every car featured in the video. This method, which involves the selective use of certain images for the custom model combined with insights from AVI, not only reduces expenses but also boosts overall efficiency. It delivers a holistic analysis tool to users, paving the way for endless customization and AI integration opportunities.
This article is contributed. See the original author and article here.
Dapr and Service Meshes are more and more usual suspects in Cloud native architectures. However, I noticed that there is still some confusion about their purpose, especially because of some overlapping features. People sometimes wonder how to choose between Dapr and a Service Mesh or even if both should be enabled at the same time.
The purpose of this post is to highlight the differences, especially on the way they handle mTLS, as well as the impact on the application code itself. You can already find a summary about how Dapr and Service Meshes differ on the Dapr web site but the explanations are not deep enough to really understand the differences. This blog post is an attempt to dive deeper and give you a real clue on what’s going on behind the scenes. Let me first start with what Dapr and Service Meshes have in common.
Things that Dapr and Service Meshes have in common
Secure service-to-service communication with mTLS encryption
Service-to-service metric collection
Service-to-service distributed tracing
Resiliency through retries
Yes, this is the exact same list as the one documented on the Dapr web site! However, I will later focus on the mTLS bits because you might think that these are equivalent, overlapping features but the way Dapr and Service Meshes enforce mTLS is not the same. I’ll show some concrete examples with Dapr and the Linkerd Service Mesh to illustrate the use cases.
On top of the above list, I’d add:
They both leverage the sidecar pattern, although the Istio Service Mesh is exploring the Ambient Mesh, which is sidecar free, but the sidecar approach is still mainstream today. Here again, the role of the sidecars and what happens during the injection is completely different between Dapr and Service Meshes.
They both allow you to define fine-grained authorization policies
They both help deal with distributed architectures
Before diving into the meat of it, let us see how they totally differ.
Differences between Dapr and Service Meshes
Applications are Mesh-agnostic, while they must explicitly be Dapr-aware to leverage the Dapr capabilities. Dapr infuses the application code. Being Dapr-aware does not mean that you must use a specific SDK. Every programming language that has an HTTP client and/or gRPC client can benefit from the great Dapr features. However, the application must comply to some Dapr pre-requisites, as it must expose an API to initialize Dapr’s app channel.
Meshes can deal with both layer-4 (TCP) and layer-7 traffic, while Dapr is focused on layer-7 only protocols such as HTTP, gRPC, AMQP, etc.
Meshes serve infrastructure purposes while Dapr serves application purposes
Meshes typically have smart load balancing algorithms
Meshes typically let you define dynamic routes across multiple versions of a given web site/API
Some meshes ship with extra OAuth validation features
Some meshes let you stress your applications through Chaos Engineering techniques, by injecting faults, artificial latency, etc.
Meshes typically incur a steep learning curve while Dapr is much smoother to learn. On the contrary, Dapr even eases the development of distributed architectures.
Dapr provides trueservice discovery, not meshes
Dapr is designed from the ground up to deal with distributed and microservice architectures, while meshes can help with anyarchitecture style, but prove to be a good ally for microservices.
Demo material
I will reuse one demo app that I developed 4 years ago (time flies), which is a Linkerd Calculator. The below figure illustrates it:
Some services talking together. MathFanBoy, a console app randomly talking to the arithmetic operations, while the percentage operation also calls multiplication and division. The goal of this app was to generate traffic and show how Linkerd helped us see in near real time what’s going on. I also purposely introduced exceptions by performing divisions by zero…to also demo how Linkerd (or any other mesh) helps spot errors. Feel free to clone the repo and try it out on your end if you want to test what is later described in this post. I have now created the exact same app, using Dapr, which is made available here. Let us now dive into the technical details.
Diving into the technical differences
Invisible to the application code vs code awareness
As stated earlier, an application is agnostic to the fact that it is injected or not by a Service Mesh. If you look at the applicationcode of the Linkerd Calculator, you won’t find anything related to Linkerd. The magic happens at deployment time where we annotate our K8s deployment to make sure the application gets injected by the Mesh. On the other hand, the application code of the Dapr calculator is directly impacted in multiple ways:
– While I could use a mere .NET Console App for the Linkerd Calculator, I had to turn MathFanBoy into a web host, to comply with the Dapr app initialization channel. However, because MathFanBoy generates activity by calling random operations, I could not just turn it as an API, so I had to run different tasks in parallel. Here are the most important bits:
class Program
{
static string[] endpoints = null;
static string[] apis = new string[5] { "addition", "division", "multiplication", "substraction", "percentage" };
static string[] operations = new string[5] { "addition/add", "division/divide", "multiplication/multiply", "substraction/substract", "percentage/percentage" };
static async Task Main(string[] args)
{
var host = CreateHostBuilder(args).Build();
var runHostTask = host.RunAsync();
var loopTask = Task.Run(async () =>
{
while (true)
{
var pos = new Random().Next(0, 5);
using var client = new DaprClientBuilder().Build();
var operation = new Operation { op1 = 10, op2 = 2 };
try
{
var response = await client.InvokeMethodAsync
Lines 9 and 10 create the web host. Between lines 13 and 35, I generate random calls to the operations, but here again we have another difference as the application is using the Dapr Client’s InvokeMethodAsync to perform the calls. As you might have noticed, the application does not need to know the URL of these services. Dapr will discover where the services are located, thanks to its Service Discovery feature. The only thing we need to provide is the App ID and the operation that we want to call. With the Linkerd calculator, I had to know the endpoints of the target services, so they were injected through environment variables during the deployment. The same principles apply to the percentage operation, which is a true API. I had to inject the Dapr client through Dependency Injection:
public void ConfigureServices(IServiceCollection services)
{
services.AddControllers().AddDapr();
}
In order to to get an instance through the controller’s constructor:
and use that instance to call the division and multiplication operations from within another controller operation, using again the Invoke method as for MathFanBoy. As you can see, the application code is explicitly using Dapr and must comply to some Dapr requirements. Dapr has many features other than Service Discovery but I’ll stick to that since the point is made that a Dapr-injected Application must be Dapr-aware while it is completely agnostic of a Service Mesh.
mTLS
Now things will get a bit more complicated. While both Service Meshes and Dapr implement mTLS as well as fine-grained authorization policies based on the client certificate presented by the caller to the callee, the level of protection of Dapr-injected services is not quite the same as the one from Mesh-injected services.
Roughly, you might think that you end up with something like this:
A very comparable way of working between Dapr and Linkerd. This is correct but only to some extents. If we take the happy path, meaning every pod is injected by Linkerd or Dapr, we should end up in the above situation. However, in a K8s cluster, not every pod is injected by Dapr nor Linkerd. The typical reason why you enable mTLS is to make sure injected services are protected from the outside world. By outside world, I mean anything that is not either Dapr-injected, either Mesh-injected. However, with Dapr, nothing prevents the following situation:
The blue path is taking the Dapr route and is both encrypted and authenticated using mTLS. However, the green paths from both a Dapr-injected pod and a non-Dapr pod still goes through in plain text and anonymously. How come is that possible?
For the blue path, the application is going through the Dapr route ==> http://localhost:3500/ this is the port that the Daprd sidecar listens to. In that case, the sidecar will find out the location of the target and will talk to the target service’s sidecar. However, because Dapr does not intercept network calls, nothing prevents you from taking a direct route, from both a Dapr-injected pod and a non-Dapr one (green paths). So, you might end up in a situation where you enforce a strict authorization policy as shown below:
where you only allow MathFanBoy and Percentage to call the multiplication operation, and yet have other pods bypass the Dapr sidecar, which ultimately defeats the policy itself. Make no mistake, the reason why we define such policies is to enforce a certain behavior and I don’t have peace of mind if I know that other routes are still possible.
So, in summary, Dapr’s mTLS and policies are only effective if you take the Dapr route but nothing prevents you from taking another route.
Let us see how this works with Linkerd. As stated on their web site, Linkerd also does not enforce mTLS by default and has added this to their backlog. However, with Linkerd (same and even easier with Istio), we can make sure that only authorized services can talk to meshed ones. So, with Linkerd, we would not end up in the same situation:
First thing to notice, we simply use the service name to contact our target because there is no such Dapr route in this case nor any service discovery feature. However, because Linkerd leverages the Ambassador pattern, which intercepts all network calls coming in and going outside of a pod. Therefore, when the application container of a Linkerd-injected pod tries to connect to another service, Linkerd’s sidecar performs the call to the target, which lands onto the other sidecar (if the target is well a Linkerd-injected service of course). In this case no issue. Of course, as for Dapr, nothing prevents us from directly calling the pod IP of the target. Yet, from an injected pod, the Linkerd sidecar will intercept that call. From a non-injected pod, there is no such outbound sidecar, but our target’s sidecar will still tackle inbound calls, so you can’t bypass it. By default, because Linkerd does not enforce mTLS, it will let it go, unless you define fine-grained authorizations as shown below:
In this case, only MathFanBoy and and Percentage will be allowed to call the multiplication operation. In other words, Linkerd allows us to enforce mTLS, whatever route is taken. With Istio, it’s even easier since you can simply enforce mTLS through the global mesh config. You do not even need to specify explicit authorization policies (although it is a best practice). Just to illustrate the above diagrams, here are some screenshots showing these routes in action:
I’m first calling the multiplication operation from the addition pod, while we told Dapr that only MathFanboy and Percentage could call multiplication. As you can see, the Dapr policy kicks in and forbids the call as expected.
but while this policy is defined, I can still call the multiplication using a direct route (pod IP):
and the same applies to non-injected pods of course.
While, with the Linkerd policy in place, there will be no way to call multiplication other than from MathFanBoy and Percentage. For sake of brevity, I won’t show you the screenshots but trust me, you will be blocked if you try.
Let us now focus on the injection process which will clarify what is going on behind the scenes.
Injection process Dapr vs Service Mesh
Both Dapr and Service Meshes will inject application pods according to annotations. They both have controllers in charge of injecting their victims. However, when looking at the lifecycle of a Dapr-injected pod as well as a Linkerd-injected pod, we can see noticeable differences.
When injecting Linkerd to an application, in plain Kubenet (not using the CNI plugin), we notice that Linkerd injects not only the sidecar but also an Init Container:
When looking more closely at the init container, we can see that it requires a few capabilities such as NET_ADMIN and NET_RAW, and that is because the init container will rewrite IP tables to make sure network traffic entering and leaving the pod is captured by Linkerd’s sidecar. When using Linkerd together with a CNI, the same principle applies but route tables are not rewritten by the init container. No matter how you use Linkerd, all traffic is redirected to its sidecar. This means that the sidecar cannotbe bypassed.
When injecting Dapr, we see that there is no Init Container and only the daprd container (sidecar) is injected:
There is no rewrite of any IP table, meaning that the sidecar can be bypassed without any problem, thus bypass Dapr routes and Dapr policies. In other words, we can easily escape the Dapr world.
Wrapping up
As stated initially, I mostly focused on the impact of Dapr or a Service Mesh on the application itself and how the overall protection given by mTLS varies according to whether you use Dapr or a Service Mesh. I hope it is clear by now that Dapr is definitely an application framework that infuses the application code, while a Service Mesh is completely transparent for the application. Note that the latter is only true when using a decent Service Mesh. By decent, I mean something stable, performant and reliable. I have been recently confronted to a Mesh that I will not name here, but this was a true nightmare for the application and it kept breaking it.
Although Dapr & Service Meshes seem to have overlapping features, they are not equally covering the workloads. With regards to the initial question about when to use Dapr or a Service Mesh, I would take the following elements into account:
– For distributed architectures that are also heavily event-driven, Dapr is a no brainer because Dapr brings many features on the table to interact with message and event brokers, as well as state stores. Yet, Service Meshes could still help measure performance, spot issues and load balance traffic by understanding protocols such as HTTP/2, gRPC, etc. Meshes would also help in the release process of the different services, splitting traffic across versions, etc.
– For heterogeneous workloads, with a mix of APIs, self-hosted databases, self-hosted message brokers (such as Rabbit MQ), etc., I would go for Service Meshes.
– If the trigger of choosing a solution is more security-centric, I would go for a Service Mesh
– If you need to satisfy all of the above, I would combine Dapr and a Service Mesh for microservices, while using Service Mesh only for the other types of workloads. However, when combining, you must consider the following aspects:
– Disable Dapr’s mTLS and let the Service Mesh manage this, including fine-grained authorization policies. Beware that doing so, you would loose some Dapr functionality such as defining ACLs on the components
– Evaluate the impact on the overall performance as you would have two sidecars instead of one. From that perspective, I would not mix Istio & Dapr together, unless Istio’s performance dramatically improves over time.
– Evaluate the impact on the running costs because each sidecar will consume a certain amount of CPU and memory, which you will have to pay for.
– Assess whether your Mesh goes well with Dapr. While an application is agnostic to a mesh, Dapr is not, because Dapr also manipulates K8s objects such as K8s services, ports, etc. There might be conflicts between what the mesh is doing and what Dapr is doing. I have seen Dapr and Linkerd be used together without any issues, but I’ve also seen some Istio features being broken because of Dapr naming its ports dapr-http instead of http. I reported this problem to the Dapr team 2 years ago but they didn’t change anything.
This article is contributed. See the original author and article here.
We’re excited to announce that Forms now supports practice mode, enhancing students’ learning process by offering a new way to review, test, and reinforce their knowledge. Practice mode is only available for quizzes. You can also try out practice mode from this template.
Practice mode
Instant feedback after answering each question In practice mode, questions will be displayed one at a time. Students will promptly receive feedback after answering each question, indicating whether their answer is right or wrong.
Instant feedback after answering each question
Try multiple times for the correct answer If students provide an incorrect answer, they will be given the opportunity to reconsider and make another attempt until they arrive at the correct one, allowing for immediate re-learning, and consequently strengthening their grasp of specific knowledge.
Try multiple times to get the correct answer
Encouragement and autonomy during practice Whether students answer a question correctly or not, they will receive an encouraging message, giving them a positive practice experience. And they have the autonomy to learn at their own pace. If they answer a question incorrectly, they can choose to retry, view the correct answer, or skip this question.
Encouragement message and other options
Recap questions Once students finish the practice, they can recap all the questions, along with the correct answers, providing a comprehensive overview to help gauge their overall performance.
Recap questions
Enter practice mode Practice mode is only available for quizzes. You can turn it on in the “…” icon in the upper-right corner. Once you distribute the quiz recipients will automatically enter practice mode. Try out practice mode from this template now!
This article is contributed. See the original author and article here.
“One of the challenges that many employees face in their daily work is creating and managing documents efficiently and effectively. Whether it is writing a report, a proposal, a memo, or a presentation, there are often multiple tasks involved, such as researching, drafting, editing, formatting, and sharing. These tasks can take up a lot of time and energy, especially if the documents are complex, lengthy, or require collaboration with others.
Microsoft 365 Copilot in Microsoft Word is a new feature that aims to help employees streamline their document creation and management process, by providing them with smart and personalized assistance. Copilot in Microsoft Word leverages artificial intelligence and natural language processing to understand the context and intent of the user, and to offer relevant suggestions, insights, and actions. Some of the benefits of using Copilot in Microsoft Word include:
– Document generation: Copilot in Microsoft Word can help users generate high-quality content faster and easier, by suggesting text, images, tables, charts, and other elements based on the topic, style, and tone of the document. Users can also use voice commands to dictate their content, and Copilot in Microsoft Word will transcribe and format it accordingly.
– Document transformation: Copilot in Microsoft Word can help users transform their existing document content by rewriting text, making wholesale changes, transforming text into tables, and more.
– Document queries: Copilot in Microsoft Word can help users find answers to their questions and queries within their documents, by using natural language and semantic search. Users can ask Copilot in Microsoft Word to highlight, summarize, explain, or provide additional information about any term, concept, or data point in their documents, and Copilot in Microsoft Word will display the results in a sidebar or a pop-up window.
– Document management: Copilot in Microsoft Word can help users organize and manage their documents more efficiently and effectively, by suggesting tags, categories, folders, and metadata based on the content and purpose of the document. Users can also use Copilot in Microsoft Word to share, sync, and collaborate on their documents with others, by using Copilot in Microsoft Word’s integration with OneDrive, SharePoint, Teams, and Outlook.” – Microsoft 365 Copilot
In this video I walk you through document generation, document transformation, chatting with Copilot about your document, and creating a summary of your document.
This article is contributed. See the original author and article here.
Happy New Year! Welcome to our December 2023 update of What’s New in Microsoft Teams. This month, we are excited to showcase 49 new features and enhancements that will help you collaborate more effectively, streamline your workflow, and stay connected with your team. From the new Microsoft Teams app in VDI to improvements in chats, webinars, town halls, Teams Phone, Teams Devices, Platform, and Frontline Workers, there is something for everyone. Read on to learn more about the latest updates and how they can benefit you and your organization.
My personal favorites are custom channel announcement backgrounds, improved search and domain-specific search, and calling shortcuts for Teams Phone. Custom channel backgrounds allow you to generate unique images for your channels using AI removing the need to use external applications to create new images. Improved search within Chat and Channels allows you to quickly find specific threads you are looking for in long conversations or chats and the domain-specific search lets you search for specific file types or a person’s name to quickly narrow your search so you can find exactly what you need. And updated calling shortcuts for Teams Phone give you the ability to perform repetitive tasks quickly while using a Teams Phone.
And every month we highlight new devices that are certified and ready to use for Teams. You can find more devices for all types of spaces and uses at aka.ms/teamsdevices.
Please read about all the updates and let me know your thoughts! I’ll do my best to respond and answer questions as they come up.
New Teams for virtual desktop infrastructure (VDI) The new Teams app is generally available for VDI customers. You can now experience and enjoy all the benefits of the new Teams app within virtual desktops. The new Teams in VDI has feature parity with classic Teams and offers improved performance, reliability, and security.
The new Teams app will be faster in terms of overall responsiveness, such as launching the app and joining meetings while consuming less memory and disk space than classic Teams in the virtualized environment. The preview version of new Teams was up to two times faster while using 50% less memory.
Moving forward, new features and capabilities as well as enhancements to existing features will be available exclusively in new Teams. We encourage our customers to get started on their new Teams journey in the virtualized environment today.
With the new Teams app, you can use one installer for both desktop and VDI and have the option to update automatically in VDI. Learn more about upgrading to new Teams for VDI.
Chat and Collaboration
Custom channel announcement background Channels bring people, content, and tools together to cultivate workplace knowledge, improve teamwork and co-innovate in a single place. Each channel post is as important as the other, so how do you make one stand out? Now you can create a personalized announcement background that harnesses creativity and engages teams in new ways. To create new images, type a description or use the power of AI to generate a personalized background. Creating an image using generative AI is available in Teams Premium and with Microsoft 365 Copilot license.
Loop components in channels Stay in the flow of your work and keep your content synced with Loop components in channels. Now when you compose a post in a channel, you can easily co-create and collaborate with Loop components like tables, lists, progress tracker and more.
An improved search experience in chat and channels You can now benefit from an enhanced in-channel and in-chat search experience including a new “find in channel” search button that is integrated into the channel information pane. Search within a specific chat or channel to have the results displayed in the right pane of the screen. In a single view, you will be able to quickly glance at your search results as well as the channel or chat interface, without leaving your flow of work. After selecting a search result, you are taken to that specific message in the channel or chat so you can quickly gain the full context of the message rather than only have the search blurb displayed.
Chat button on missed call activity Easily get in touch with your contacts after a missed call. A new chat button is now added to your activity feed, enabling you to follow up on a missed call and start a chat with just one click.
Files app updated to OneDrive app experience in Teams The Files app accessed from left side of the Teams desktop client is now updated with the OneDrive app experience, bringing performance improvements, more views, and the latest features of OneDrive to both classic and new Teams. As part of this change, the Files app on left side of the new Teams desktop client is now called the OneDrive app. Learn more about the next generation of OneDrive.
Domain-specific search New domain-specific search filters like “files”, “group chats” or “teams and channels” help you narrow down search results and quickly discover the information you seek. In addition, you can now enter a stakeholder’s name, and with domain-specific search efficiently find shared files and mutual group chats.
Copilot in chat and channels conversation history You can now view your past Copilot conversation history if you use Copilot in Microsoft Teams. Open the Copilot flyout and type in a question. When you close and open the Copilot flyout you will see your previous conversations with Copilot.
Webinars and Town Halls
New webinar and town hall templates added to Outlook Teams add-in New meeting templates for webinars and town halls are available in the Teams meeting dropdown menu in the Calendar tab in Outlook with the Teams add-in enabled. This allows organizers to set up webinars and town halls directly within Outlook and these will show up on calendars in both Outlook and Teams apps.
Teams Phone
Calling shortcuts for Teams Phone External keyboard shortcuts help improve the efficiency of repetitive tasks and can be easier to navigate for if you have mobility or vision disabilities. Available now, updated calling shortcuts for Teams Phone help you initiate calls more intuitively while reducing the potential for error.
Windows: Alt + Shift + A: Initiate an Audio Call Alt + Shift + V: Start a Video Call
MacOS: Option + Shift + A: Initiate an Audio Call Option + Shift + V: Start a Video Call
Group chat call confirmation While the ability to initiate a call with all members of a group chat can be a time-saver when time is critical, the new group chat call confirmation helps reduce the likelihood of placing an accidental call. Learn more about starting a call from a chat.
Teams Phone Mobile now available in Norway Teams Phone Mobile enables you to integrate business mobile calling with Teams for flexible, productive, and secure mobile communications. This solution is now available to customers in Norway via Telia.
Teams Rooms and Devices
Find devices that are certified for Teams for all types of spaces and uses at aka.ms/teamsdevices.
Enable People Recognition with an intelligent camera Users will be able to enroll their face and create a face profile using the new enrollment process in the Teams desktop client. The face profile is used for meetings in a Teams Rooms with an intelligent camera capable of People Recognition is deployed, to recognize in-room attendees and label their identity for all meeting participants, both in-room and remote.
Automatic updates for the Teams app on Android-based Teams devices Android-based Teams devices will receive automatic updates of the Teams app without the need for any manual intervention. Administrators can manage the automatic updates by organizing devices into update phases or pausing the rollout temporarily, if needed, from Teams Admin Center.
Synced updates for Microsoft Teams Rooms on Android devices and paired consoles When Microsoft Teams Rooms on Android devices are updated from the Teams Admin Center, their paired consoles will get updated in tandem, ensuring a seamless experience.
Manage Microsoft Surface Hub as a Teams Rooms on Windows device With the transition of Microsoft Surface Hub devices to the Teams Rooms on Windows platform, Admins can now manage Surface Hub devices as Teams Rooms on Windows devices in the Teams Admin Center and Teams Rooms Pro Management (available for Teams Rooms Pro license customers).
Enabling People Recognition in a Teams Meeting with a desktop client face enrollment process You can enroll their face and create a face profile using the new enrollment process in the Teams desktop client. The face profile is used in Teams Rooms meetings where an Intelligent Camera capable of People Recognition is deployed to recognize in-room attendees, and then labels their identity for all meeting participants, both in-room and remote.
Teams Phone and Teams Rooms licenses in device store IT administrators can already browse and purchase Certified for Teams devices in the device store in Teams Admin Center. This update will enable IT admins to try and buy Teams Phone and Teams Rooms licenses from the device store.
Logitech Sight Sight is a certified for Teams room system accessory that pairs with Logitech Rally Bar or Rally Bar Mini to provide remote participants with a front-and-center view of in-person interactions. Sight ensures a more equitable meeting experience by seamlessly framing and presenting multiple active speakers, dynamically replacing and displaying individuals as they contribute to the conversation around the table. Discover Logitech Sight.
Logi Dock Flex Specifically designed for hoteling, hot desking, and flex desk environments, newly certified for teams Logi Dock Flex brings together the reservation and booking experience that users are already familiar with from booking meeting rooms, combined with a simple plug-and-play docking experience. Users simply book their desk with Outlook, Microsoft Teams or ad hoc, find their desk, plug in, and get right to work. In addition, Logi Dock Flex can be easily managed through Teams Admin Center and Logitech Sync.
Neat Board 50 for Microsoft Teams Neat Board 50, certified for Teams, is a powerful, pioneering all-in-one 50-inch touchscreen video device that’s easy to install, set up and use. Designed for the flexible future of work, it adapts to whenever, wherever and in whatever way you need to meet or express your ideas on Microsoft Teams in today’s modern workspaces. For greater freedom and accessibility, you can pair it with a unique adaptive stand, which lets you quickly move the device from space to space and adjust the screen up or down for optimal use and viewing. At the same time, the included pressure-sensitive Neat Active Marker allows you to enjoy more natural, friction-free whiteboarding. Discover the cutting-edge capabilities of Neat Board 50.
Nureva HDL410 system Certified for Teams Rooms on Windows, the HDL410 system delivers full-room pro audio performance in extra-large spaces up to 35′ x 55′ (10.7 x 16.8 m). The solution’s powerful processors and expanded memory unlock advanced audio capabilities in Nureva’s patented Microphone Mist™ technology. The HDL410’s unified coverage map enables the physical mics from the two microphone and speaker bars to be processed together, creating a giant microphone array that spans the entire room. The result is everyone in the room and those participating remotely are heard more consistently and clearly. The HDL410 is a USB plug and play device and works seamlessly with all the other AV technology products you might already have in your hybrid spaces. Learn more about the Nureva HDL410 system.
Lenovo ThinkSmart View Plus Monitor The Lenovo ThinkSmart View Plus Monitor is newly Certified for Teams Peripheral mode and designed for Teams meetings and collaboration. It can be used as a secondary display for video calls or as a standalone device for chat, calendar, and personal productivity. Learn more about the Lenovo ThinkSmart View Plus Monitor.
Poly CCX EM60 side car Designed to plug-and-play seamlessly with the Poly CCX 505, 600, and 700 Series Microsoft Teams certified phones, the CCX EM60 is the first expansion module from Poly that is certified for Microsoft Teams. For users who need to manage multiple Teams phone calls with ease, the Poly CCX EM60 expansion module is the perfect solution. With Intuitive controls and a 5” color LCD screen, the EM60 offers up to 20-line keys across 3 pages for easy contact tracking, and the option to connect up to 3 modules for a comprehensive desk or wall communication station.
HP 620 FHD Webcam The newly Certified for Teams HP 620 FHD Webcam is a high-quality webcam that delivers clear and detailed video in Full HD resolution. It is perfect for video conferencing, streaming, and recording. With its wide field of view and autofocus, it captures everything in sharp detail. The built-in microphone ensures clear audio, while the plug-and-play USB connectivity makes it easy to set up and use. Learn more about HP 620 FHD Webcam.
HP 960 4k Streaming Webcam The HP 960 4K Streaming Webcam delivers stunning 4K Ultra HD video quality. With its advanced features, its wide field of view, autofocus, and light correction technology ensure that you always look your best on camera. The built-in stereo microphones provide crystal-clear audio, while the easy plug-and-play USB connectivity makes setup a breeze. Learn more about the HP 960 4K Streaming Webcam.
Anker PowerConf S3 Speakerphone The Anker PowerConf S3 Speakerphone is a portable conference speaker Certified for Microsoft Teams that delivers crystal-clear audio for your meetings and calls. Its six microphones with voice-enhancing technology ensure that everyone can be heard, while the noise-cancelling technology reduces background noise. The USB-C connectivity makes it simple to use, while the long battery life ensures that you can use it for extended periods without needing to recharge. Learn more about the Anker PowerConf S3 Speakerphone.
Dell Wired Headset – WH3024 The Dell Wired Headset – WH3024 is a high-quality headset that delivers clear and immersive audio. With its comfortable design and noise-cancelling microphone, it ensures that you can communicate clearly and effectively. The easy plug-and-play connectivity makes it simple to use, while the in-line controls allow you to adjust the volume and mute the microphone with ease. Learn more about the Dell Wired Headset – WH3024.
Platform
Resources-specific consent apps Admins will be allowed to pre-approve apps using resource-specific consent (RSC) permissions, so their users can install them even when RSC is otherwise turned off.
Teams AI library The Teams AI library offers developers a suite of code functionalities designed to ease the integration of Large Language Models, empowering them to build rich, conversational Teams apps. It simplifies the process of creating Bots and Message Extensions, as well as interactions with Adaptive Cards for conversational experiences. Additionally, the Teams AI library also aids the migration of existing Bots, Message Extensions, and Adaptive Card functionalities with seamless integration with Large Language Models.
Click-to-Chat with Teams App Publishers Teams Admin Center users can now quickly and easily open a private Teams chat between themselves and a third-party app publisher to directly ask questions on pricing, compliance or other topics as they consider the deployment and/or purchase of the app.
Collaborative Apps
Autopilot Accounts Payable AI Autopilot Accounts Payable AI automates the task of uploading, assigning, and tracking supplier invoices with AI in Microsoft Teams. Featuring data extraction to help quickly create accurate invoices for approval and payment, automated reminders when invoices are due, and the Autopilot Accounts Payable bot available to help with daily tasks and financial insights. With this app, you can optimize invoice management through single-platform, customized workflows.
Carbon Neutral Club Inc The new app from Carbon Neutral Club Inc brings climate education and action directly into daily work with Teams. This app delivers educational content personalized to each employee, rewards them with points every time they take climate positive action, and tracks these points with team leaderboards. Creating a space for teams to not just share climate tips, news, and education but also take on climate challenges together.
Datadog Datadog is a popular monitoring and security platform for cloud applications. The Datadog app allows you to create, manage and collaborate on incidents all within Teams. The app helps organizations stay on top of IT systems by receiving alerts that include monitor tags and traces on Teams channels. Also, Datadog Workflow Automation helps integrate real-time observability data with automatic remediation. Now with Teams integration you can receive messages and act on decision points from the Teams chat interface itself!
emSinger The emSinger application takes the complexity out of moving documents between departments, customers, partners, suppliers, and employees. This paperless office solution enables you to quickly sign documents with globally accepted, legally valid signatures, within Microsoft Teams. Simply download the document, select your signature, and sign the document, eliminating lag in the signing and approval process.
Neo Agent The Neo Agent app brings the power of AI to Managed Service Providers to streamline service desk operations. Neo helps with IT ticket management and resolution by tracking and conversationally summarizing tickets, providing predictive insights, and enhancing overall productivity and efficiency. This AI assistant tackles the key pain points of manually dealing with high volumes of IT tickets.
Teamcenter Siemens introduces a new app designed to elevate collaboration within product engineering and manufacturing through seamless integration with Teamcenter, its leading product lifecycle management (PLM) solution. This innovative tool harnesses the power of generative AI to simplify and enhance the problem-solving process. By enabling the creation and management of problem reports in multiple languages, you can efficiently address challenges within the familiar environment of Microsoft Teams. The intuitive design of Teamcenter ensures a fluid collaboration experience across various devices, empowering teams to effortlessly transform complex problems into innovative solutions. Embrace a smarter, more connected way of working with Siemens Teamcenter and unlock the full potential of collaborative product development and manufacturing.
Trello The Trello app in Teams is a popular collaboration tool used for managing projects through Kanban-style boards and cards. In the latest update, Trello has also integrated with Copilot for Microsoft 365. With this plugin in Teams, you can search for high priority or pending tasks in natural language via Copilot.
Zendesk The Zendesk for Microsoft Teams integration allows you to resolve tickets faster, simplify employee workflows, and boost team performance. The latest update to this app helps simplify support workflows and collaboration with Zendesk ticket management directly in Teams. You can stay up to date with tickets and support activities with real time notifications as well as deploy Zendesk Bots to help resolve commonly asked questions.
Frontline Worker Solutions
Tasks in my area in Teams mobile The mobile experience for Microsoft Planner app in Teams will let you filter to a specific bucket or set of buckets, so you can focus on tasks in your area or department. We expect this simple change will provide greater focus and productivity, while maintaining the familiar look and functionality of the Planner app.
Full name display in Shifts app Team members’ full names are now visible in the team schedule. This helps managers quickly identify staff members by their full names, even when names are lengthy, by toggling profile pictures on/off.
Graph API for day notes in Shifts app Now, managers have the flexibility to add day notes using the Graph API, in addition to the Shifts app. This powerful capability allows customers to seamlessly integrate relevant day notes from third-party or line-of-business applications, enhancing the Shifts experience.
Excel import enhancements in Shifts app Frontline managers will gain the ability to import an Excel file into Shifts with time off and open shift entities. Complementary, those entities will also be supported when managers export schedules in a compatible format to import.
Improved Shifts privacy settings Frontline managers can control how much shift information is visible among their frontline workers, enhancing data privacy and control (e.g. time off reason & notes, shift notes, break duration, activities, and how far back a frontline worker can view their coworkers’ schedules).
Import and export time off and open shifts via Excel Frontline managers can import schedules created or generated to an Excel file into Shifts through Shifts web and desktop applications. With this, frontline managers will be able to import through Microsoft Excel the following entities: employee assigned shifts, create open shifts for their team and assign time offs to their employees.
Deploy Shifts at scale Admins can centrally deploy and manage shifts for the entire frontline workforce in the Teams Admin Center. As part of the centralized deployment and management, admins can standardize Shifts settings (open shifts, swap shifts requests, offer shifts requests, time off requests and time clock), identify schedule owners, and create scheduling groups uniformly for all frontline teams at the tenant level.
Deploy frontline dynamic teams Admins can deploy teams at scale for frontline workers using dynamic teams in the Teams Admin Center. Dynamic teams will automate member management to ensure your teams are always up to date with the right users as people enter, move within, or leave the organization using dynamic groups from Entra ID.
Virtual Appointments
New virtual appointment template added to Outlook Teams add-in A new meeting template for Virtual Appointments is available in the Teams meeting dropdown menu in the Calendar tab in Outlook with the Teams add-in enabled. This allows schedulers to set up virtual appointments directly within Outlook and these will show up on calendars in both Outlook and Teams apps.
Teams for Education
School Connection for parents in Microsoft Teams mobile The School Connection app in Microsoft Teams mobile empowers parents and guardians to engage, support, and monitor their student’s learning at school. As a parent, you can stay up to date on assignments, grades, insights from the past month on digital activity, and more. This release will be generally available to all regions except countries in Europe, the Middle East and Africa; the availability for those countries will be announced at a later date.
New Teams for Education available on all platforms The new Teams App is also generally available for our Education customers. Now available for desktop on Windows, Mac, Edge and Chrome browsers. Additional browser platform availability will be announced in early 2024. Upgrading to new Teams is quick and easy – no migration is required. For additional resources, including update schedules, different methods on how to update to new Teams, and any known issues, visit New Microsoft Teams for Education.
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