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resource.png","associationType":"BODY","width":625,"height":351,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMDk2MDc5LTI0OTM2N2lDRUVFMkRDRjdDQ0IzMzlB?revision=6\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMDk2MDc5LTI0OTM2N2lDRUVFMkRDRjdDQ0IzMzlB?revision=6","title":"LUIS Settings APP ID.png","associationType":"BODY","width":626,"height":392,"altText":null},"BlogTopicMessage:message:2096079":{"__typename":"BlogTopicMessage","subject":"How to build a voice-enabled grocery chatbot with Azure AI","conversation":{"__ref":"Conversation:conversation:2096079"},"id":"message:2096079","revisionNum":6,"uid":2096079,"depth":0,"board":{"__ref":"Blog:board:Azure-AI-Services-blog"},"author":{"__ref":"User:user:386019"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" Learn how to build an app to help you easily manage your grocery list, with Azure AI. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":7534},"postTime":"2021-01-25T16:25:15.874-08:00","lastPublishTime":"2021-01-25T16:30:09.951-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Chatbots have become increasingly popular in providing useful and engaging experiences for customers and employees. Azure services allow you to quickly create bots, add intelligence to them using AI, and customize them for complex scenarios. \n In this blog, we’ll walk through an exercise which you can complete in under two hours, to get started using Azure AI Services. This intelligent grocery bot app can help you manage your shopping list using voice commands. We’ll provide high level guidance and sample code to get you started, and we encourage you to play around with the code and get creative with your solution! \n Features of the application: \n \n \n Add or delete grocery items by dictating them to Alexa. \n \n \n Easily access the grocery list through an app. \n Check off items using voice commands; for example, “Alexa, remove Apples from my grocery list.\" \n Ask Alexa to read the items you have in your grocery list. \n Automatically organize items by category to help save time at the store. \n Use any laptop or Web Apps to access the app and sync changes across laptop and phone. \n \n Prerequisites: \n \n If you don't have an Azure subscription, create a free account before you begin. If you have a subscription, log in to the Azure Portal. \n Amazon Alexa account \n Python 3.6 or above \n \n \n Key components: \n \n Azure Bot Service to develop bot and publish to Alexa channel. \n Microsoft Bot Framework Emulator to test and debug bots using Bot Framework SDK. \n Alexa skills to interact with the bot using voice commands via Amazon Alexa. \n Language Understanding to help users interact with the bot with natural language, by enabling the bot to understand user intent. \n \n Solution Architecture \n \n App Architecture Description: \n \n The user accesses the chatbot by invoking it as an Alexa skill. \n User is authenticated with Azure Active Directory. \n User interacts with the chatbot powered by Azure Bot Service; for example, user requests bot to add grocery items to a list. \n Azure Cognitive Services process the natural language request to understand what the user wants to do. (Note: If you wanted to give your bot its own voice, you can choose from over 200 voices and 54 languages/locales. Try the demo to hear the different natural sounding voices.) \n The bot adds or removes content in the database. \n \n Another visual of the flow of data within the solution architecture is shown below. \n \n \n \n \n \n \n \n Implementation \n High level overview of steps involved in creating the app along with some sample code snippets for illustration: \n We’ll start by creating an Azure Bot Service instance, and adding speech capabilities to the bot using the Microsoft Bot Framework and the Alexa skill. Bot Framework, along with Azure Bot Service, provides the tools required to build, test, deploy, and manage the end-to-end bot development workflow. In this example, we are integrating Azure Bot Service with Alexa, which can process speech inputs for our voice-based chatbot. However, for chatbots deployed across multiple channels, and for more advanced scenarios, we recommend using Azure’s Speech service to enable voice-based scenarios. Try the demo to listen to the over 200 high quality voices available across 54 languages and locales. \n \n The first step in the process is to login into Azure portal and follow the steps here to create an Azure Bot Service resource and a web app bot. To add voice capability to the bot, click on channels to add Alexa (see the below snapshot) and note the Alexa Service Endpoint URI. \n \n \n \n Next, we need to log into the Alexa Developer Console and create an Amazon Alexa skill. After creating the skill, we are presented with the interaction model. Replace the JSON Editor with the below example phrases. \n \n \n \n \n {\n\n \"interactionModel\": {\n\n \"languageModel\": {\n\n \"invocationName\": \"Get grocery list\",\n\n \"intents\": [\n\n {\n\n \"name\": \"AMAZON.FallbackIntent\",\n\n \"samples\": []\n\n },\n\n {\n\n \"name\": \"AMAZON.CancelIntent\",\n\n \"samples\": []\n\n },\n\n { \n\n \"name\": \"AMAZON.HelpIntent\",\n\n \"samples\": []\n\n },\n\n {\n\n \"name\": \"AMAZON.StopIntent\",\n\n \"samples\": []\n\n },\n\n {\n\n \"name\": \"AMAZON.NavigateHomeIntent\",\n\n \"samples\": []\n\n },\n\n {\n\n \"name\": \"Get items in the grocery\",\n\n \"slots\": [\n\n {\n\n \"name\": \"name\",\n\n \"type\": \"AMAZON.US_FIRST_NAME\"\n\n }\n\n ],\n\n \"samples\": [\n\n \"Get grocery items in the list\",\n\n \"Do I have bread in my list\",\n\n ]\n\n }\n\n ],\n\n \"types\": []\n\n }\n\n }\n\n} \n \n \n \n \n \n Next, we’ll integrate the Alexa Skill with our Azure bot. We’ll need two pieces of information to do this: the Alexa Skill ID and the Alexa Service Endpoint URI. First, get the Skill ID either from the URl in the Alexa portal, or by going to the Alexa Developer Console and clicking “view Skill ID”. The skill ID should be a value like ‘amzn1.ask.skil.A GUID’. Then, get the Alexa Service Endpoint URI from the Azure portal, by going to the channels page of our Azure Web App Bot in the Azure portal, and clicking on Alexa to copy the Alexa Service Endpoint URI. Then integrate as shown: \n \n \n \n Amazon Developer Console: After building the Alexa Skill, click on Endpoint and paste the Alexa Service Endpoint URI that we copied from the Azure portal and save the Endpoints. \n Azure Portal: Go to the channels page of the Azure Bot, click on Alexa, and paste the Alexa Skill ID that we copied from the Alexa Developer Console. \n \n \n \n Now, we’ll download and the bot locally for testing using the Bot Framework Emulator. Click on “Build” in the Azure Web Bot app to download the source code locally with Bot Framework Emulator. Modify app.py as below: # Copyright (c) Microsoft Corporation. All rights reserved.\n# Licensed under the MIT License.\n\nfrom http import HTTPStatus\n\nfrom aiohttp import web\nfrom aiohttp.web import Request, Response, json_response\nfrom botbuilder.core import (\n BotFrameworkAdapterSettings,\n ConversationState,\n MemoryStorage,\n UserState,\n)\nfrom botbuilder.core.integration import aiohttp_error_middleware\nfrom botbuilder.schema import Activity\n\nfrom config import DefaultConfig\nfrom dialogs import MainDialog, groceryDialog\nfrom bots import DialogAndWelcomeBot\n\nfrom adapter_with_error_handler import AdapterWithErrorHandler\n\nCONFIG = DefaultConfig()\n\n# Create adapter.\n# See https://aka.ms/about-bot-adapter to learn more about how bots work.\nSETTINGS = BotFrameworkAdapterSettings(CONFIG.APP_ID, CONFIG.APP_PASSWORD)\n\n# Create MemoryStorage, UserState and ConversationState\nMEMORY = MemoryStorage()\nUSER_STATE = UserState(MEMORY)\nCONVERSATION_STATE = ConversationState(MEMORY)\n\n# Create adapter.\n# See https://aka.ms/about-bot-adapter to learn more about how bots work.\nADAPTER = AdapterWithErrorHandler(SETTINGS, CONVERSATION_STATE)\n\n# Create dialogs and Bot\nRECOGNIZER = IntelligentGrocery(CONFIG)\ngrocery_DIALOG = groceryDialog()\nDIALOG = MainDialog(RECOGNIZER, grocery_DIALOG)\nBOT = DialogAndWelcomeBot(CONVERSATION_STATE, USER_STATE, DIALOG)\n\n# Listen for incoming requests on /api/messages.\nasync def messages(req: Request) -> Response:\n # Main bot message handler.\n if \"application/json\" in req.headers[\"Content-Type\"]:\n body = await req.json()\n else:\n return Response(status=HTTPStatus.UNSUPPORTED_MEDIA_TYPE)\n\n activity = Activity().deserialize(body)\n auth_header = req.headers[\"Authorization\"] if \"Authorization\" in req.headers else \"\"\n\n response = await ADAPTER.process_activity(activity, auth_header, BOT.on_turn)\n if response:\n return json_response(data=response.body, status=response.status)\n return Response(status=HTTPStatus.OK)\n\nAPP = web.Application(middlewares=[aiohttp_error_middleware])\nAPP.router.add_post(\"/api/messages\", messages)\n\nif __name__ == \"__main__\":\n try:\n web.run_app(APP, host=\"localhost\", port=CONFIG.PORT)\n except Exception as error:\n raise error\n \n Next, we’ll run and test the bot with Bot Framework Emulator. From the terminal, navigate to the code folder and run pip install -r requirements.txt to install the required packages to run the bot. Once the packages are installed, run python app.py to start the bot. The bot is ready to test as shown below: } Open the bot and add the below port number into the following URL. \n \n \n \n Now we’re ready to add natural language understanding so the bot can understand user intent. Here, we’ll use Azure’s Language Understanding Cognitive Service (LUIS), to map user input to an “intent” and extract “entities” from the sentence. In the below illustration, the sentence “add milk and eggs to the list” is sent as a text string to the LUIS endpoint. LUIS returns the JSON seen on the right. \n \n \n \n Use the below template to create a LUIS JSON model file where we specify intents and entities manually. After the “IntelligentGrocery” app is created in the LUIS portal under “Import New App”, upload the JSON file with the below intents and entities. \n \n \n \n \n {\n \"text\": \"access the groceries list\",\n \"intent\": \"Show\",\n \"entities\": [\n {\n \"entity\": \"ListType\",\n \"startPos\": 11,\n \"endPos\": 19,\n \"children\": []\n }\n ]\n },\n {\n \"text\": \"add bread to the grocery list\",\n \"intent\": \"Add\",\n \"entities\": [\n {\n \"entity\": \"ListType\",\n \"startPos\": 23,\n \"endPos\": 29,\n \"children\": []\n \n \n \n \n The above sample intents are for adding items and accessing the items in the grocery list. Now, it’s your turn to add additional intents to perform the below tasks, using the LUIS portal. Learn more about how to create the intents here. \n Intents \n \n \n \n \n Name \n \n \n Description \n \n \n \n \n CheckOff \n \n \n Mark the grocery items as purchased. \n \n \n \n \n Confirm \n \n \n Confirm the previous action. \n \n \n \n \n Delete \n \n \n Delete items from the grocery list. \n \n \n \n \n \n Once the intents and entities are added, we will need to train and publish the model so the LUIS app can recognize utterances pertaining to these grocery list actions. anguage Understanding (LUIS) Portal \n \n \n After the model has been published in the LUIS portal, click ‘Access your endpoint Urls’ and copy the primary key, example query and endpoint URL for the prediction resource. \n \n Navigate to the Settings page in the LUIS portal to retrieve the App ID. \n \n \n Finally, test your Language Understanding model. The endpoint URL will be in the below format, with your own custom subdomain, and app ID and endpoint key replacing APP-ID, and KEY_ID. Go to the end of the URL and enter an intent; for example, “get me all the items from the grocery list”. The JSON result will identify the top scoring intent and prediction with a confidence score. This is a good test to see if LUIS can learn what should be predicted with the intent. \n \n \n \n \n \n https://YOUR-CUSTOM-SUBDOMAIN.api.cognitive.microsoft.com/luis/prediction/v3.0/apps/APP-ID/slots/production/predict?subscription-key=KEY-ID&verbose=true&show-all-intents=true&log=true&query=YOUR_QUERY_HERE \n \n \n \n \n \n Additional Ideas \n We’ve now seen how to build a voice bot leveraging Azure services to automate a common task. We hope it gives you a good starting point towards building bots for other scenarios as well. Try out some of the ideas below to continue building upon your bot and exploring additional Azure AI services. \n \n Add Google Home assistant as an additional channel to receive voice commands. \n Add a PictureBot extension to your bot and add pictures of your grocery items. You will need to create intents that trigger actions that the bot can take, and create entities that require these actions. For example, an intent for the PictureBot may be “SearchPics”. This could trigger Azure Cognitive Search to look for photos, using a “facet” entity to know what to search for. See what other functionality you can come up with! \n Use Azure QnA maker to enable your bot to answer FAQs from a knowledge base. Add a bit of personality using the chit-chat feature. \n Integrate Azure Personalizer with your voice chatbot to enables the bot to recommend a list of products to the user, providing a personalized experience. \n Include Azure Speech service to give your bot a custom, high quality voice, with 200+ Text to Speech options across 54 different locales/languages, as well as customizable Speech to Text capabilities to process voice inputs. \n Try building this bot using Bot Framework Composer, a visual authoring canvas. \n 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generally available: Power Virtual Agents bots as skills with Bot Framework bots","conversation":{"__ref":"Conversation:conversation:3113405"},"id":"message:3113405","revisionNum":3,"uid":3113405,"depth":0,"board":{"__ref":"Blog:board:Azure-AI-Services-blog"},"author":{"__ref":"User:user:935409"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" We are happy to announce that the feature enabling Power Virtual Agents bots to be used as skills with Bot Framework bots has reached General Availability. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":2885},"postTime":"2022-02-03T13:09:36.034-08:00","lastPublishTime":"2022-02-03T13:12:05.581-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" This blog is originally authored by Marina Kolomiets and published in the Power Virtual Agens blog. \n \n If you have Bot Framework bots deployed in your organization, you can now easily extend them with Power Virtual Agents functionality using this capability. When you add a Power Virtual Agents bot as a skill, the Bot Framework bot will determine if anything the bot user says matches with any of the trigger phrases in the Power Virtual Agent’s bot. If there is a match, the Bot Framework bot will automatically invoke the Power Virtual Agents bot and pass the entire user utterance to it to extract any entities and trigger a matching Power Virtual Agents topic. \n Additionally, from a Bot Framework bot, you can invoke a Power Virtual Agents bot’s topic with inputs and utilize the outputs it returns. \n \n With this new feature in Power Virtual Agents, you can: \n \n \n Explicitly control which Bot Framework bots are allowed to connect to your Power Virtual Agents bot. \n \n \n \n \n Control which Bot Framework bots are allowed to connect to your Power Virtual Agents bot \n \n \n \n Easily download Test or Published bot’s skill manifest, enabling you to test changes in your Power Virtual Agents skill bot before publishing them. \n \n \n \n \n Download Power Virtual Agents Test and Published bot skill manifests \n \n \n Connect to a Power Virtual Agents skill in Composer using Power Virtual Agents skill manifest. \n \n \n \n \n \n Add a Power Virtual Agents bot as a skill in Composer \n \n \n Call a specific Power Virtual Agents skill topic from a Composer bot \n \n \n \n Use Activity to invoke a topic in a Power Virtual Agents skill \n \n \n \n Pass an input variable to a Power Virtual Agents skill topic from Composer bot \n \n \n \n Pass inputs to a Power Virtual Agents bot skill topic in Composer \n \n \n Receive an output variable from a Power Virtual Agents skill topic in Composer bot \n \n \n \n Get outputs from a Power Virtual Agents bot skill’s topic in Composer \n \n Learn more \n For more information, visit the documentation on using a Power Virtual Agents bot as a skill. \n Join our Power Virtual Agents community to share your ideas, provide your comments, and help drive the future direction of our product development. 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","introduction":"","metrics":{"__typename":"MessageMetrics","views":3117},"postTime":"2021-11-23T12:10:38.115-08:00","lastPublishTime":"2021-11-23T12:10:38.115-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" With the growing demand for organisations to adopt fusion bot development to drive collaborative bot building across pro developers and subject matter experts, tools like Power Virtual Agents are helping overcome the shortage of technical skills and enable increased involvement of SME’s, truly enabling democratisation bot building. We are excited to invite customers and partners to join the Power Virtual Agents in a Day (PVAIAD) events and get hands-on with the technology, no matter your experience! \n \n How does Power Virtual Agents work with Azure? \n Azure Bot Service Composer and Power Virtual Agents have deep integrations today. Customers using Power Virtual Agents can extend to the Composer at no extra cost through its SaaS offering to leverage adaptive cards, custom events, language generation etc. \n Most importantly for Azure customers, you can use your Azure Bot Service skills in Power Virtual Agents hosted bots and bring Power Virtual Agents bots as a skill to Azure Bot Service. \n \n What is PVAIAD? \n The Power Virtual Agents in a Day events are free one-day workshops where you will learn how to create, integrate, extend, deploy and monitor conversational bots. No matter if you are a business expert or IT developer, you will learn to develop intelligent bots in less than a day using Power Virtual Agents! At the end of the day, you will be able to easily create your own bots without writing code, take action quickly with seamless integrations, and build smart bots using rich and personalized conversations. These events will be run by qualified Microsoft partners, who are deeply knowledgeable about Power Virtual Agents and can help your organization get the most value out of your virtual agent ideas. \n \n How do I sign up? \n The list of events and their dates are available at https://aka.ms/PVAIADevent. \n \n 11/17 English; Germany Microsoft Events \n 11/24 Spanish; Mexico Microsoft Events \n 11/30 English; Australia Microsoft Events \n 12/1 German; Germany Microsoft Events \n 12/6 German, Austria Microsoft Events \n 12/7 Dutch, Netherlands Microsoft Events \n 12/14 English, Australia Microsoft Events \n 12/16 Spanish, Mexico Microsoft Events \n \n We will continue to add more regions so please check back. \n \n Calling all partners! \n If you would like to host such PVAIAD events in the future, please register here, and email xiadevents@microsoft.com with any questions you have. This program is designed to enable you to build expertise, showcase your Power Virtual Agents solutions to customers and foster the right customer-partner connections. Sign up for the train-the-trainer event on November 30th to help you learn how to deliver such a workshop. You can register here. \n \n To learn more about Power Virtual Agents, check out: \n \n Recent market trends – The future of bot building \n Analyst reports – Microsoft named a Leader in IDC MarketScape for WW General-Purpose Conversational AI Platforms \n Economic impact reports – The Total Economic Impact™ of Microsoft’s Power Virtual Agents \n New product features – What’s new with Power Virtual Agents at Ignite \n \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"3294","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yOTk4ODE0LTMyOTAxM2kyQkVGQUI4MDlGNTI1NDQ3?revision=3\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:2870362":{"__typename":"Conversation","id":"conversation:2870362","topic":{"__typename":"BlogTopicMessage","uid":2870362},"lastPostingActivityTime":"2021-10-21T10:03:09.685-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yODcwMzYyLTMxOTAwM2k4RUREQzM0MEMwMjBEMDY5?revision=5\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yODcwMzYyLTMxOTAwM2k4RUREQzM0MEMwMjBEMDY5?revision=5","title":"Picture2.png","associationType":"TEASER","width":806,"height":799,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yODcwMzYyLTMxOTAwNmlGRUY2MTI0NTlDQUNCQjBE?revision=5\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yODcwMzYyLTMxOTAwNmlGRUY2MTI0NTlDQUNCQjBE?revision=5","title":"KelvinChen_0-1634835398998.png","associationType":"BODY","width":352,"height":349,"altText":null},"BlogTopicMessage:message:2870362":{"__typename":"BlogTopicMessage","subject":"Microsoft Named a Leader in IDCMarketScape for WW General-Purpose Conversational AI Platforms","conversation":{"__ref":"Conversation:conversation:2870362"},"id":"message:2870362","revisionNum":5,"uid":2870362,"depth":0,"board":{"__ref":"Blog:board:Azure-AI-Services-blog"},"author":{"__ref":"User:user:935409"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" Microsoft is named a leader in the IDC MarketScape: Worldwide General-Purpose Conversational AI Platforms 2021 Vendor Assessment \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":3099},"postTime":"2021-10-21T09:55:38.814-07:00","lastPublishTime":"2021-10-21T10:03:09.685-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Microsoft is named a leader in the IDC MarketScape: Worldwide General-Purpose Conversational AI Platforms 2021 Vendor Assessment (October 2021) \n \n Source: \"IDC MarketScape: Worldwide General-Purpose Conversational AI Platforms 2021 Vendor Assessment\", By: David Schubmehl & Hayley Sutherland, October 2021, IDC # US47354421 \n \n The IDC MarketScape says Microsoft is “a strong vendor if you use a combination of code and low/no code tools to develop conversational AI scenarios, especially if you are a large enterprise looking for a broad set of cloud-based services for building and deploying conversational AI”. You can download a complimentary excerpt. \n \n Microsoft offers both software-as-a-service (SaaS) and platform-as-a-service (PaaS) options for building, training, deploying, and managing conversational AI across a wide range of channels. \n \n Power Virtual Agents, Microsoft’s SaaS offering, provides a web-based intuitive graphical interface and enables all makers to build conversational AI solutions without having to managing the underlying infrastructure. \n Azure Bot Service, Microsoft’s PaaS offering, allows pro developers to build virtual assistants through both visual and code-based interfaces. \n \n The IDC MarketScape recognized Microsoft as a leader in general-purpose conversational AI platforms who provides a broad set of SaaS and PaaS services, the ability to give voice-based assistants custom voices and variety of languages, as well as overall engineering expertise in conversational AI. \n Let’s take a closer look at the capabilities that Power Virtual Agents and Azure Bot Service offer \n Power Virtual Agents \n \n Build bots faster, easier - make, test, and publish bots with an intuitive low code UI, automated workflows with 450+ prebuilt data connectors, and rich AI. Deploy to multiple channels and extend with code to accelerate developer velocity. \n Secure and scale with trust - monitor, manage and improve bots with prebuilt analytics and a unified admin center to maintain enterprise-grade compliance and governance. \n One platform, unlimited innovation – leverage the broader Power Platform and Microsoft cloud including native integration with Microsoft Teams and Dynamics 365 Customer Service. \n \n Azure Bot Service: \n \n Accelerate bot building with Azure Bot Service Composer - start from a template and use a visual, open-source authoring canvas. Extend and customize the conversation with code when needed. \n Add natural language, speech, and vision - infuse your bot with the high-quality AI capabilities of Azure Cognitive Services. \n Deploy to popular channels with minimal code changes - build once and deploy your bot to more than 13 channels to reach customers. \n \n As organizations increasingly empower fusion teams of subject matter experts and pro developers to partner together to build and manage bots, Microsoft is working hard to ensure that SMEs – using Power Virtual Agents – and pro developers – using Azure Bot Service Composer – can collaboratively build intelligent bots. For example, the integration between PVA and Composer enables SMEs to start building bots with PVA’s graphical interface and deploy them quickly to the channel of their choice. When needed, pro developers can extend those bots with Composer to create custom dialogs that handle interruptions, cancelations and context switching – all within PVA’s SaaS environment. Furthermore, we have also announced capabilities to allow both PVA and Azure Bot Service to be used as skills bidirectionally. For example, Azure Bot Service bots as a skill can be used with PVA hosted bots, and PVA bots as a skill with Azure Bot Service bots (preview). This allows customers to ensure that they can use the tools that best work for their unique needs. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"3812","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yODcwMzYyLTMxOTAwM2k4RUREQzM0MEMwMjBEMDY5?revision=5\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yODcwMzYyLTMxOTAwNmlGRUY2MTI0NTlDQUNCQjBE?revision=5\"}"}}],"totalCount":2,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:2861716":{"__typename":"Conversation","id":"conversation:2861716","topic":{"__typename":"BlogTopicMessage","uid":2861716},"lastPostingActivityTime":"2021-10-19T09:41:13.252-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yODYxNzE2LTMxODQzMmk1ODA2NzM1RkE2QkNDMURC?revision=5\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yODYxNzE2LTMxODQzMmk1ODA2NzM1RkE2QkNDMURC?revision=5","title":"Picture1","associationType":"TEASER","width":1044,"height":596,"altText":null},"BlogTopicMessage:message:2861716":{"__typename":"BlogTopicMessage","subject":"The future of bot building between Azure Bot Service and Power Virtual Agents","conversation":{"__ref":"Conversation:conversation:2861716"},"id":"message:2861716","revisionNum":5,"uid":2861716,"depth":0,"board":{"__ref":"Blog:board:Azure-AI-Services-blog"},"author":{"__ref":"User:user:935409"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n \n Learn how Azure Bot Service and Power Virtual Agents unlock the future of bot building via fusion teams of both IT and business professionals \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":3714},"postTime":"2021-10-19T09:06:51.654-07:00","lastPublishTime":"2021-10-19T09:41:13.252-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" In the last year, we have seen tremendous growth in the number of people working and living online, with over two-thirds (74 percent) of chief financial officers’ planning to permanently shift employees to remote work once the COVID-19 crisis ends 1 . As the workplace constantly evolves, workloads continue to grow and capacity constraints rise, organizations look to AI to manage the greater urgency to meet, and exceed customer and colleague demands. \n \n Conversational AI systems were, until recently, the exclusive domain of specialized vendors and data scientists. Organizations are now progressively opting in for bots to be built in-house by developers. With the shortage of technical skills and the need for subject matter experts to directly author the bot content, it has become even more critical to democratizes aspects of the bot development lifecycle to those closest to process. \n \n Microsoft believes that the key to creating successful bots and delightful Conversational AI experiences is through enabling both developers and developers for bot to achieve this through a simplified and scalable platform via a SaaS service. This provides the ability to build and host bots and fully support sophisticated capabilities for pro developer technologies such as Bot Framework Composer and SDK. \n \n Learn how City of Ottawa, Miami Dolphins, and Syngenta Group are accelerating bot building through fusion development. \n “With Power Virtual Agents, the real winner is this relationship between IT and the client that is harmonious and allows each party to do what they do best to make a good product without the workload of either party being shoved on to the other.”—Jeffery Kozera, Senior Automation Developer and Integrator, City of Ottawa \n \n “Our IT team put the framework in place, but from then on, employees from each part of the business can continually decide how the bot should answer questions related to their function. We can be a lot more productive and efficient with multi-authoring in Power Virtual Agents. It becomes a real team effort.”—Kim Rometo, Vice President and Chief Information Officer, Miami Dolphins \n \n Learn more about fusion bot development in this Power Virtual Agents blog. \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"2325","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yODYxNzE2LTMxODQzMmk1ODA2NzM1RkE2QkNDMURC?revision=5\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:2379357":{"__typename":"Conversation","id":"conversation:2379357","topic":{"__typename":"BlogTopicMessage","uid":2379357},"lastPostingActivityTime":"2021-05-25T12:58:12.435-07:00","solved":false},"User:user:1058547":{"__typename":"User","uid":1058547,"login":"ElaineChang","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-11.svg?time=0"},"id":"user:1058547"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMzc5MzU3LTI4Mjk5OGlFNDJBQzgyMkVGOEZDM0ZD?revision=6\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMzc5MzU3LTI4Mjk5OGlFNDJBQzgyMkVGOEZDM0ZD?revision=6","title":"ElaineChang_0-1621794798926.png","associationType":"BODY","width":624,"height":255,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMzc5MzU3LTI4MzAwMGlFNkVGMEIwREE1QzlBNEYw?revision=6\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMzc5MzU3LTI4MzAwMGlFNkVGMEIwREE1QzlBNEYw?revision=6","title":"Enterprise Assistant Template.gif","associationType":"BODY","width":800,"height":450,"altText":null},"BlogTopicMessage:message:2379357":{"__typename":"BlogTopicMessage","subject":"Announcing Enterprise Assistant Bot Template and Conversational UX Guide","conversation":{"__ref":"Conversation:conversation:2379357"},"id":"message:2379357","revisionNum":6,"uid":2379357,"depth":0,"board":{"__ref":"Blog:board:Azure-AI-Services-blog"},"author":{"__ref":"User:user:1058547"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" Check out the latest Enterprise Assistant Bot Template in Bot Framework Composer and Conversational UX Guide we are announcing as part of Conversational AI’s release at Microsoft Build Conference this week. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":5453},"postTime":"2021-05-25T09:05:55.684-07:00","lastPublishTime":"2021-05-25T12:58:12.435-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Many organizations are looking to provide conversational experiences across a range of conversational canvases for their employees, across all industries and countries, especially with the increase of remote working during the pandemic. To help customers accelerate building such enterprise assistants, with a high-quality conversational experience, we are announcing the Enterprise Assistant Bot Template in Bot Framework Composer as part of Microsoft Conversational AI’s release at Microsoft Build Conference this week. \n \n This template provides a starting point for those interested in creating a virtual assistant for common enterprise scenarios. It demonstrates a common bot building architecture and high-quality pre-built conversational experiences through a root bot connected to multiple skills. This pattern allows for the consolidation of multiple bots across the organization into a centralized solution where a root bot finds the correct bot to handle a query, accelerating user productivity. With Bot Framework Composer, a powerful visual authoring tool for building bots and virtual assistants, you have the flexibility to personalize the assistant to reflect the values, brand, and tone of your company and extend with code where needed. \n \n The template is designed to be ready out-of-the-box with support for common employee channels such as Microsoft Teams and Web Chat. It includes features from Core Assistant Bot Template that is newly released in Bot Framework Composer and two pre-built skills (Enterprise Calendar Bot and Enterprise People Bot), with more to come. Here is an overview of the scenarios included in the Enterprise Assistant Bot Template: \n \n \n \n You can learn more about the Enterprise Assistant Bot Template here including its targeted conversational experiences, design principles, example interactions, developer experience, data usage and storage. We have also created a Tutorial to help you get started. \n \n All of these investments were informed by the popularity of our Virtual Assistant solution accelerator along with traction around Bot Framework Composer. This led us to infuse all of the Virtual Assistant capabilities into Composer and the Bot Framework SDK enabling these capabilities to be leveraged far more broadly and benefit from new tooling. \n \n Here is a preview of an Enterprise Assistant in Microsoft Teams leveraging this template: \n \n \n \n Conversational User Experience Guide \n The Enterprise Assistant Bot Template was designed based on the thoughtful Conversational User Experience (CUX) best practices we have learned based on years of experiences building and deploying CUX worldwide for a variety of bots and virtual assistants. You can check out our newly updated CUX Guide here. The guide offers insights to help you craft an effective, responsive, inclusive, and delightful experience that tackles a variety of business scenarios. \n \n Share your scenario and feedback \n We would love to hear your scenarios and feedback using this template and CUX guide, including additional pre-built skills and capabilities you would like to see included in the future. Please submit a feature request with your detailed enterprise scenario for future consideration. \n \n Sign up for 1:1 Consultation \n As part of the Microsoft Build Conference (May 25-27) this week, we are offering free 1:1 customer consultation sessions with experts in our Microsoft Conversational AI product engineering team. After you register for the conference, you can sign up for these consultations here, choose Azure Conversational AI, and let us know more about your scenarios and challenges. If you have additional questions about Enterprise Assistant Bot Template or any other Conversational AI questions, we would be happy to help you there. 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We recently registered over 4 billion monthly messages, with 400% growth in the past year and over 85k monthly active, engaged bots. \n Today, at Build, we are excited to announce significant improvements across Azure Bot Service, Bot Framework SDK and tools - including the release of Bot Framework Composer 2.0 - allowing you to get started building bots faster than ever before, across speech and text modalities, starting with the tools / services that make sense for you and enabling you to collaborate with others across your organization. \n \n Be sure to check out sessions, ask-the-experts panels and round-tables on the topic of Conversational AI during Build 2021. \n \n Getting started faster with Bot Framework Composer 2.0 and Azure Bot Service Optimizing for new interaction types and channels Adaptive Runtime and Components Power Virtual Agents and Bot Framework – better together Bot Framework Skills and Orchestrator Pre-built experiences – Enterprise Assistant Azure Bot Service – security and reliability improvements \n \n Get started faster with Bot Framework Composer 2.0 and Azure Bot Service \n \n Bot Framework Composer, our open-source integrated development tool for authoring conversational applications, reaches the 2.0 milestone, combining the productivity of visual conversational authoring alongside code extensibility with the Bot Framework SDK. \n \n Bot Framework Composer 2.0 features a new bot creation experience, featuring all new templates which provide starting points for new bots of all complexities; QnA-style bots through to an enterprise assistant are now available. These templates bootstrap your development, with capabilities originally part of our Virtual Assistant solution accelerator, by providing pre-built dialogs and natural language models, support for common conversational scenarios, such as interruption, context switching, and even integration with Microsoft 365. \n \n \n After selecting a template, Composer now provides dynamic guidance for any required or recommended steps to take as your start to build your application, such as simple integration with Cognitive Services and your bot is ready to test almost immediately, using new integrated web chat testing and debugging tools. \n \n Publishing your bot to Azure is now easier than ever, with the general availability (GA) of integrated resource provisioning and publishing from within Composer and, once published, you can manage the connections for your bot, making it available and reducing manual steps via Web Chat, Speech and Microsoft Teams as well as many other connections available from Microsoft and the Bot Framework Community. \n \n \n Users who start their journey within Azure Bot Service can now launch Bot Framework Composer directly from the Azure portal, with a pre-configured publishing profile available to streamline this process even further. \n \n Ultimately, these new capabilities make is possible to go from start to a published bot, running in Azure on multiple channels, in minutes! \n \n Optimizing for new interaction types and channels \n \n The need for creating experiences across multiple interaction types is rapidly increasing, such as text, speech / telephony and the use of cards. To combat this need, developers can now utilize the brand-new speech editor, which makes optimizing responses for these different modalities incredibly simple, with the ability to specify speech responses, including SSML, that will be used automatically on speech enabled platforms, such as the Azure Bot Service Telephony channel, currently in public preview. \n \n Adaptive Cards and Suggested Actions, along with other attachment types, can be added to a response using templates built into the editor, to make for richer, interactive responses. \n \n \n \n Adaptive Runtime and Components \n \n Many of the improvements in Composer 2.0 are underpinned by a new Adaptive Runtime, which provides a runtime for all bots built on the Bot Framework SDK. The runtime and SDK encapsulates common capabilities such as Cognitive Service integration and multi-lingual support, enabling developers to focus on building their conversational experience rather than the underlying infrastructure. \n \n The Adaptive Runtime is extensible through components, which enables bot developers to easily extend their bot with code, creating custom actions, triggers, middleware and more that can be safely and dynamically injected at runtime. Components, containing any combination of conversational assets (language models, pre-built dialogs, QnA models) can be packaged, and imported into other bots for reuse. \n \n Using the new Package Manager within Composer, developers can discover a wide selection of packages already available, including pre-built enterprise experiences for calendar management (integrated with the Office Graph), turn-key enablement of handoff to platforms such as ServiceNow, as well as context-specific packages for working with Microsoft Teams or Adaptive Cards. \n \n \n You can create your own components and package them using the tools you already use every day, such as Visual Studio and Visual Studio Code, choosing to make them available publicly via NuGet / NPM, or sharing them within an organization with Composer’s support for private feeds. \n \n Power Virtual Agents and Bot Framework – better together \n \n Microsoft is the only vendor to support both PaaS and SaaS options for building conversational applications, meaning you can start where it makes most sense for you. In order to ensure these offerings work seamlessly together, last year we announced the preview of Power Virtual Agents integration with Bot Framework Composer. We are delighted that these features are now generally available (GA), alongside the ability for Power Virtual Agents to consume Bot Framework Skills. \n \n These powerful composition options allow multiple disciplines to collaborate on a single solution, democratizing creation of some parts of your conversational experience and later this year we will further cement this by enabling bots developed using Composer to consume Power Virtual Agent topics as Bot Framework Skills. \n \n You can read more about the Power Virtual Agents announcements at Build 2021 here. \n \n Bot Framework Skills and Orchestrator \n \n Orchestrator is a new dispatching solution for skill dispatch based on transformer deep learning model. When utilized as a Bot Framework Recognizer, it excels at routing intents to subsequent handlers such as Skills, LUIS or QnA services. It can be used by new bots built using Composer, as well as code-first bots – enabling existing Dispatch users to switch to Orchestrator. Orchestrator is seamlessly enabled when adding Skills to a Composer based bot. \n \n To support this use, consuming Skills within a Composer bot has also been improved, using a simplify the process of connecting skills to bots and making bots available as skills for others to consume. \n \n Pre-built experiences – Enterprise Assistant \n \n Many organizations are looking to provide a centralized conversational experience across canvases for their employees. Based on our experience from the Virtual Assistant Solution Accelerator, the Enterprise Assistant template in Bot Framework Composer provides a starting point for those interested in creating a virtual assistant for common enterprise scenarios. \n \n This new template demonstrates a common bot building architecture and high-quality pre-built conversational experiences through a root bot connected to multiple skills. This pattern allows for the consolidation of multiple bots across the organization into a centralized solution where a root bot finds the correct bot to handle a query, accelerating user productivity. With Composer, you have the flexibility to personalize the assistant to reflect the values, brand, and tone of your company. \n \n The template is designed to be ready out-of-the-box with support for common employee channels such as Microsoft Teams and Web Chat. It includes features from the Core Assistant Bot Template and two pre-built skills, Enterprise Calendar Bot and Enterprise People Bot with more to come. \n \n Read our detailed article to learn more about the Enterprise Assistant bot template and the new Conversational UX guide. \n \n Azure Bot Service security and reliability improvements \n \n As bots become a critical part of their business, our customers are looking to improve their ability to operate and secure their applications. First, the Azure Bot Service team has now implemented support for Azure Monitor, Azure’s platform-wide analytics capability for monitoring, diagnosing, and alerting on system events. Your bot has access to Azure Monitor today; check out the new capability in the Monitoring section of your bot service resource in the Azure Portal. \n \n Our customers are also interested in securing their bots. Adding to the prior work we’ve done, including the Direct Line App Service Extension for bots running in isolation, and publishing the Security Baseline for Azure Bot Service, we’re now introducing Customer Managed Encryption Keys, which allows all the data we store about your bot to be encrypted both with a Microsoft-managed key as well as a key you provide, managed in your Azure Key Vault. This capability is available to all Azure Bot Service customers today. \n \n Later this year, you can look forward to additional security enhancements coming soon to the Azure Bot Service including support for Private Links as well as support for Managed Identities. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"10012","kudosSumWeight":3,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMzc1MjAzLTI4MjYyOWkyQUVGMDRGQzQxOENBNDdB?revision=13\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMzc1MjAzLTI4MjYzMGlENDI1QTQ1RDk2NTdFODVD?revision=13\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMzc1MjAzLTI4MjYzMWk2MjhBRDA5MEJFMjU1ODUy?revision=13\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMzc1MjAzLTI4MjYzMmk2OEZCQjE2QTA1QTRDMDAx?revision=13\"}"}}],"totalCount":4,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:2381033":{"__typename":"Conversation","id":"conversation:2381033","topic":{"__typename":"BlogTopicMessage","uid":2381033},"lastPostingActivityTime":"2021-05-24T08:54:46.450-07:00","solved":false},"BlogTopicMessage:message:2381033":{"__typename":"BlogTopicMessage","subject":"Conversational AI at Build 2021","conversation":{"__ref":"Conversation:conversation:2381033"},"id":"message:2381033","revisionNum":3,"uid":2381033,"depth":0,"board":{"__ref":"Blog:board:Azure-AI-Services-blog"},"author":{"__ref":"User:user:665479"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" Find out about where to catch content surrounding Conversational AI at Microsoft Build 2021 ","introduction":"","metrics":{"__typename":"MessageMetrics","views":4091},"postTime":"2021-05-24T08:18:35.406-07:00","lastPublishTime":"2021-05-24T08:54:46.450-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" We're looking forward to the kick of of Microsoft Build 2021, which starts tomorrow, and the chance to talk more about the investments we have been making across Conversational AI at Microsoft. We will have a detailed article here on Microsoft Tech Community on Day 1 of Build - talking about how you can get started with building bots faster than ever before, collaborating with anyone across your organization - and below is a summary of our other content at Microsoft Build 2021. \n \n Build intelligent applications infused with world-class AI \n Tuesday, May 25 | 2:30pm - 3:00pm PST \n Wednesday, May 26 | 6:30am - 7:00am PST Create breakthrough experiences in your applications with industry-leading AI. Join Eric Boyd, Corporate Vice President, Azure AI, as he demonstrates the latest innovations. Learn how Azure is simplifying the developer experience and enabling you to harness the power of AI in your mission-critical applications. \n Ask the Experts: Build intelligent applications infused with world-class AI \n Tuesday, May 25 | 3:30pm - 4:00pm PST \n \n Learn how Azure enables you to create breakthrough experiences in your applications with industry-leading AI. Join the Azure AI product team to learn more about the latest innovations, and get your questions answered during this live Q&A. \n \n Extend your Power Virtual Agents with Bot Framework Composer On Demand Enhance your Power Virtual Agents bot by developing custom dialogs with Bot Framework Composer and publishing them directly to your Power Virtual Agents bot. In this session, we will use Composer to extend your Power Virtual Agents bot with Bot Framework functionality, including: 1. Adaptive dialogs 2. Language Generation (LG) 3. Adaptive Cards Azure AI Roundtable: Come discuss what's new and our future vision \n Wednesday, May 26 | 3:00pm - 4:00pm PST \n \n Create breakthrough experiences in your applications with Azure AI. From improvements in AI quality, to cross-lingual custom neural voices and document translation, we have introduced many new capabilities. In this roundtable, we'll discuss the latest innovations in Conversational AI, Vision, Speech, Language, and Decision, as well as our future vision for Azure AI. We look forward to hearing your feedback and your questions. \n \n \n Sign up for 1:1 Consultation with the Conversational AI team As part of the Microsoft Build Conference (May 25-27) this week, we are offering free 1:1 customer consultation sessions with experts in our Microsoft Conversational AI product engineering team. After you register for the conference, you can sign up for these consultations at https://mybuild.microsoft.com/app-consult, choose Azure Conversational AI, and let us know more about your scenarios and challenges. We look forward to talking with you. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"2833","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:2269739":{"__typename":"Conversation","id":"conversation:2269739","topic":{"__typename":"BlogTopicMessage","uid":2269739},"lastPostingActivityTime":"2021-04-14T09:41:33.719-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMjY5NzM5LTI3MjU3Mmk3OUQ1QURCRTM0RkFFRDE1?revision=7\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMjY5NzM5LTI3MjU3Mmk3OUQ1QURCRTM0RkFFRDE1?revision=7","title":"y4Xz7U6m","associationType":"TEASER","width":320,"height":141,"altText":null},"BlogTopicMessage:message:2269739":{"__typename":"BlogTopicMessage","subject":"Learn about Bot Framework Composer’s new authoring experience and deploy your bot to a telephone","conversation":{"__ref":"Conversation:conversation:2269739"},"id":"message:2269739","revisionNum":7,"uid":2269739,"depth":0,"board":{"__ref":"Blog:board:Azure-AI-Services-blog"},"author":{"__ref":"User:user:935409"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n \n The new telephony channel, combined with our Bot Framework developer platform, makes it easy to rapidly build always-available virtual assistants, or IVR assistants, that provide natural language intent-based call handling and the ability to handle advanced conversation flows, such as context switching and responding to follow up questions and still meeting the goal of reducing operational costs for enterprises. \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":6119},"postTime":"2021-04-13T11:54:43.527-07:00","lastPublishTime":"2021-04-14T09:41:33.719-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Customer expectations continue to increase, looking for immediate response and rapid issue resolution, across multiple channels 24/7. Nowhere is this more apparent than the contact center, with this landscape is driving the need for efficiencies, such as reducing call handling times and increasing call deflection rates – all whilst aiming to deliver a personalized and tailored customer experience. \n To help respond to this need, we announced the public preview of the telephony channel for Azure Bot Service in February 2021, expanding the already significant number of touch points offered by the service, to include this increasingly critical method of communication. \n \n Built on state-of-the-art speech services \n \n The new telephony channel, combined with our Bot Framework developer platform, makes it easy to rapidly build always-available virtual assistants, or IVR assistants, that provide natural language intent-based call handling and the ability to handle advanced conversation flows, such as context switching and responding to follow up questions and still meeting the goal of reducing operational costs for enterprises. \n This new capability combines several of our Azure and AI services, including our state-of-the-art Cognitive Speech Service, enabling fluid, natural-sounding speech that matches the patterns and intonation of human voices through Azure Text-to-Speech neural voices, with Azure Communications Services powering various calling capabilities. The channel also provides support for full duplex conversations and streaming audio over PSTN, support for DTMF, barge-in (allowing a caller to interrupt the virtual assistant) and more. Follow our roadmap and try out one of our samples on the Telephony channel GitHub repository. \n \n Improving our Conversational AI SDK and tools for speech experiences \n \n To compliment the introduction of the telephony channel and ensure our customers can create industry leading experiences, we have added new features to Bot Framework Composer, an open-source conversational authoring tool, featuring a visual canvas, built on top of the Bot Framework SDK, allowing you to extend and customize the conversation with code and pre-built components. Updates to Composer to support speech experiences include, \n \n The ability to add tailored speech responses in seconds, either for a voice only or multi-modal (text and speech) agent. \n Addition of global application settings for your bot, allowing you to set a consistent voice font to be used on speech enabled channels, including taking care of setting the required base SSML tags. \n Authoring UI helpers that allow you to add additional common SSML (Speech Synthesis Markup Language) tags to control the intonation, speed and even the style of the voice used, including new styles available for our neural voice fonts, such as a dedicated Customer Service style. \n \n Comprehensive Contact Center solution through Dynamics 365 \n \n Microsoft announced the expansion of Microsoft Dynamics 365 Customer Service omnichannel capabilities to include a new voice channel, that is built on this telephony channel infrastructure. With native voice, businesses receive seamless, end-to-end experiences within a single solution, ensuring consistent, personalized, and connected support across all channels of engagement. This new voice channel for Customer Service enables an all-in-one customer service solution without fragmentation or manual data integration required, and enables a faster time to value. Learn more here. \n \n Get started building for telephony! \n \n Sign up for Azure trial \n Join us on live stream of AI Show on 4/16 11AM PDT \n Sign up for conversational AI Ask Microsoft Anything (4/28) \n To get started developing a virtual agent, that you can surface via the new telephony channel today, download Bot Framework Composer \n Read more about the telephony channel preview, including documentation and samples, visit the Bot Framework telephony channel GitHub repository \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"4785","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yMjY5NzM5LTI3MjU3Mmk3OUQ1QURCRTM0RkFFRDE1?revision=7\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1996923":{"__typename":"Conversation","id":"conversation:1996923","topic":{"__typename":"BlogTopicMessage","uid":1996923},"lastPostingActivityTime":"2020-12-17T02:42:45.478-08:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xOTk2OTIzLTI0MTMxNGlCOTY5RUZENTkxODAzMjBF?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xOTk2OTIzLTI0MTMxNGlCOTY5RUZENTkxODAzMjBF?revision=3","title":"provisioning.PNG","associationType":"BODY","width":1200,"height":736,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xOTk2OTIzLTI0MTMxNWk3RTc1MzU5MEZFODM3ODVB?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xOTk2OTIzLTI0MTMxNWk3RTc1MzU5MEZFODM3ODVB?revision=3","title":"languages.png","associationType":"BODY","width":1433,"height":1121,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xOTk2OTIzLTI0MTMxNmk3MzMxOEQ5QjEwMDM2NzQ1?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xOTk2OTIzLTI0MTMxNmk3MzMxOEQ5QjEwMDM2NzQ1?revision=3","title":"package-manager.PNG","associationType":"BODY","width":1562,"height":691,"altText":null},"BlogTopicMessage:message:1996923":{"__typename":"BlogTopicMessage","subject":"Bot Framework Composer 1.3 is now available!","conversation":{"__ref":"Conversation:conversation:1996923"},"id":"message:1996923","revisionNum":3,"uid":1996923,"depth":0,"board":{"__ref":"Blog:board:Azure-AI-Services-blog"},"author":{"__ref":"User:user:665479"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" The most significant update to Bot Framework Composer, the visual IDE for bots, yet is now available! ","introduction":"","metrics":{"__typename":"MessageMetrics","views":7357},"postTime":"2020-12-17T02:41:22.872-08:00","lastPublishTime":"2020-12-17T02:42:45.478-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" This week, as the year draws to a close, we are excited to announce that Bot Framework Composer 1.3 is now available to download. Composer has come a long way since we made the product GA (generally available) at the Microsoft Build conference earlier this year and this is our biggest release yet, adding many significant capabilities and making building sophisticated bots and virtual assistants even easier! \n New features to improve the developer experience and workflow For developers who are working with Bot Framework Skills today, you will know that developing multiple bots locally that work together can sometimes be a challenge, especially when it comes to setting up debugging. In Composer 1.3, we have now added a multi-bot authoring and management experience to transform this scenario, adding the capability to create, manage and test multiple bots within a single project. With a single click, you can now start all local bots for debugging, enabling you to test your root (parent) bot, connected to one or more skills with no additional manual configuration needed. \n \n Another significant enhancement is for the provisioning feature, which previously required developers to leave Composer and run a PowerShell script, copying back a resulting configuration into Composer. Now though, the provisioning process has been overhauled and users can now login to Azure, provision required resources and subsequently publish bots, all within the Composer environment! \n \n \n Additionally, we have implemented a new settings experience, providing an improved interface, removing the need to manually edit the underlying JSON for common settings, whilst retaining the ability to make changes or add additional configuration manually if you need to. \n Localization \n \n In addition to the existing capability for developers to localize their bots, multilingual support has now been added to the Composer UI! You can now choose from a long list of available languages within the Application Settings pane to change the language displayed within Composer. \n \n \n \n Preview features \n \n As part of version 1.3, you can now choose to enable one or more preview features by choosing preview feature flags within the Composer settings page. These features are designed to give you early access and a chance to try what we are working on right now for future Composer releases. The following preview feature flags are now available. \n \n \n Form Dialogs – Automatically generate a sophisticated dialog by simply providing the properties that you would like customers to provide as part of the conversation, with Composer then generating the appropriate dialog, language understanding (to enable dis-ambiguation and interruption scenarios) and bot responses (.lg files) assets. \n Orchestrator – A new top-level recognizer which can help to arbitrate (dispatch) between multiple LUIS and QnA Maker models to ensure accurate routing of user requests to the appropriate language model or skill. \n Package Manager – Developers can now discover and install packages from NuGet / NPM that contain re-usable assets, including dialogs, custom actions and .LG (language generation) files, that can be utilized by their bots. Once installed, assets contained within a package become available for use within a bot. Moving forward, we will provide guidance for how you can create and publish your own packages (including to internal feeds if desired), as well as making available a number of packages covering common scenarios that will ship with Composer. \n Conversational core template – Built on the new package capabilities, surfaced via the preview of the Package Manager, we are developing a new component model for bot development using re-usable building blocks (packages). With this preview, users can create a bot using the new conversational core template which consists of a configurable runtime that can be extended with packages or importing additional skills. \n \n Help us to improve Composer! Within this release we have enabled the ability for users of Composer to opt in to sending usage information to us, to allow us to better understand how Composer is used. As we gather this telemetry, we can use it as an additional signal to help us prioritize our efforts in future releases and ensure we are focusing on the right features. You can help us by opting into providing usage data via the Data Collection section of the Composer settings page. \n \n Finally, a huge thank you to all of our users for your support and feedback during 2020 - we are excited to bring more significant updates to you as we move into 2021. Happy Holidays to everyone from the entire Conversational AI team! 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