MS Federal Business Apps Webinar: How to build a Virtual Agent chat Bot and Extend it with Azure
Bots are everywhere, in this session we will talk about the proliferation of bots in the Federal Government and show how bot technologies can be extended with Azure and Cognitive services to improve customer support or internal teams. This session will enable you to leave with ideas on how your organization can scale and support your constituents by utilizing advanced bot concepts and implementations.Build a Virtual Assistant with Azure Open AI and Azure Speech Service
This post shows you how to create an extremely powerful virtual assistant with Azure OpenAI and Azure Speech Services for all languages. It is just a static web application without running any server and everything done with client side JavaScript. Azure OpenAI Service provides developers with API calls to make a virtual assistant that uses Azure AI and speech services. Students can use it to get course-related answers. You can try the Live2D Azure OpenAI chatbot by creating an Azure subscription and configuring it."Build a Twitter Bot in 5 Minutes Without Any Code - Complete Guide"
Are you interested in building your own Twitter bot, but intimidated by the thought of writing code in a programming language like Python or JavaScript? Don't worry, you can create your own bot without any coding experience using Azure Logic Apps! Azure Logic Apps is a cloud platform that allows you to create and run automated workflows with minimal coding required. It is fully managed by Microsoft Azure, meaning you don't have to worry about hosting, scaling, or maintaining your solution. Plus, it offers hundreds of pre-built connectors to easily connect and integrate apps, data, services, and systems. In this guide, we'll show you how to build a Twitter bot using Azure Logic Apps in just 5 minutes. All you need is an Azure for Students subscription, which you can obtain with a student email address or the GitHub Student Developer Pack. Follow our step-by-step instructions and you'll have your own automated Twitter bot up and running in no time! Don't let coding barriers hold you back from building your own Twitter bot. Try Azure Logic Apps today and start automating your Twitter experience."Microsoft Teams COVID-19 Response Bot
Microsoft Teams COVID-19 Response Bot Using an Information BOT to enable companies to build out a knowledge base and FAQ to interact and communicate to their employees. Target Audience: COVID-19 Company Response Teams Every group who is reacting to an unforeseen situation like: Communications, Help Desk, Human Resources, and Operations teams. Technical Requirements: Azure subscription; QnA Maker account; No experience with coding required. The Problem: Many companies have been struggling to provide communications and resources in an automated way. Microsoft Teams COVID-19 Response Bot adds value! In a pandemic situation, many companies that have not completed or started their digital transformation tend to struggle with high volume of inquiries being directed to their front line response teams. Azure Web Bot services can help reduce the overhead of the front-line response teams by inserting an automated layer and interactive for employees to engage your resources. We will show you below how to create a COVID-19 response bot and connect it to Microsoft Teams, a website (Intranet / Internet), and as an email responder in 12 easy steps that does not require any previous coding experience. Microsoft Teams: Employees want an interactive experience to communicate in a chat and ask questions about company resources and frequently asked questions. Intranet / Internet Communication: Employees are expecting crisis communication and interaction on the home page of the intranet to feel connected. Providing a real-time chat bot to allow employees to get company-specific information immediately. Bot used as an Email Responder: Companies can create a mailbox for crisis communication that provides valuable and relevant automated responses. Deploy Microsoft Teams COVID-19 Response Bot: Open Edge and navigate to https://qnamaker.ai on the top right corner click “Sign in” and sign in using your Microsoft Account. Once you have signed into your account, click on “Create a knowledge base” from the top menu. Once you clicked on Create a knowledge base, you will be required to create a QnA service in Microsoft Azure, click on the blue button that says “Create a QnA service". This will redirect you to your Azure portal and directly into Cognitive Services (QnA Maker). Fill the form and click on “Create” at the bottom: Once your deployment has been successfully implemented, go back to QnA Maker portal and click on “Refresh” and select the correct Azure QnA service from the drop downs. It is time to select a name for your Knowledge Base. Now it is time for us to populate the content for our bot, we will choose the URL for the FAQ the CDC has available (https://www.cdc.gov/coronavirus/2019-ncov/faq.html) and we will enable multi-turn, which will allow to present multiple potential matches for a single question, and for personality we will choose professional. Once you have the form filled, click on “Create your KB” this will take few minutes to parse all the questions on your FAQ URL or files (if you uploaded any). Once you are redirected to your knowledge base, click on “PUBLISH” to continue creating the bot A New page will be displayed, you will need to click on “Publish” at the bottom to be able to use this knowledge base to your bot in Azure. Once this task is completed, it will redirect you to the last page we need in QnAMaker.ai, which has a button to “Create bot”, this will redirect you to your Azure Portal again to create a bot. On the Web App Bot section of Azure, verify all the information has been filled and click “Create”, once the task is completed, your bot is live and ready to be used by deploying it on the channel of your preference (Teams, Email, Facebook, GroupMe, Kik, LINE, Skype, Slack, Telegram, Twilio, Cortana, Web Chat, and Direct Line). Deploying your bot on Microsoft Teams Go to your bot and click on "Channels". Click on the Microsoft Teams icon in the center of the page. Click Save and your bot will be ready to be used on Teams. Deploying your bot on a web site Go to your bot and click on "Channels". By default Web Chat is always enabled, click on "Edit" on the far right side. Copy the HTML code into the page you are going to implement the bot by clicking “Copy” in the “Embed code” section, and your bot will be available in the URL you pasted the code. Deploying your bot on an email: Go to your bot and click on "Channels". Click on "Email". Enter your Office 365 email credentials for the mailbox the bot is going to use and hit "Save", and your bot will be able to respond email messages that arrive to that specific mailbox. Bot Solutions Going Forward: HR Benefits, Help Desk, Office 365 Journey Advisor, Adoption Projects, Company branding materials, On-boarding mentor, and more. Contributors: Michelle Gilbert michellegilbert Daniel Lopez DanLopezMicrosoft Learn AI webinars in March and April 2018
First published on MSDN on Mar 01, 2018 LearnAI Webinar - Introduction to AI Solutions and TechnologiesDates: March 13th, 2018 (8am to 9am PST)Registration LinkLearnAI Webinar - Creating Intelligent Applications (Part1/2): Azure Search and LUISDates: April 10th, 2018 (8am to 9am PST)Registration LinkLearnAI Webinar - Creating Intelligent Applications (Part2/2): Bot Framework and Regex Dates: April 24th, 2018 (8am to 9am PST)Registration LinkResourcesHave questions about getting enabled to put your AI solutions on the cloud? Contact us at: learnanalytics@microsoft.Mission Hack- Cognitive Services, Bots, IOT and gaming fun
First published on MSDN on Feb 20, 2018 Guest blog by team Mission Hack from Cambridge Hack by Johannes Goslar Microsoft Student Partner at Oxford UniversitySo the idea In the beginning, we had a motivated team of 4 randomly mixed together people, set out on a mission to not cure cancer, but visually identify different skin conditions, we built a hardware prototype and reduced the cable clutter of a raspberry pi when attaching a camera, speakers and a microphone.
