In this workshop you will learn real-time analytics with IoT. You'll enable intelligent conversation in a machine learning enabled, real-time chat pipeline, and apply analytics to visualize customer sentiment in real time for hotel guests, allowing them to chat with one another, and to communicate directly with the concierge. You'll apply analytics to visualize customer sentiment in real-time, as well as view trending sentiment over time and create a bot that can answer questions and embed it in the custom web app.

At the end of this workshop, you will better understand how to leverage Cognitive Services (LUIS & Text Analytics API), process events with Azure functions, index with Search Archive and Cosmos DB, visualize with Power BI Q&A, and use Bot Framework for questions and answers. You will be able to implement a lambda architecture, and enable web-based, real-time messaging through SignalR, Event Hubs, and Services Bus.

Azure services and related products:

• Azure Cognitive Services
• Azure Cosmos DB
• Azure Search
• Azure Event Hubs
• Azure App Services
• Azure Functions
• Azure Service Bus
• Azure Storage
• Azure Stream Analytics
• SignalR
• Language Understanding (LUIS)
• Microsoft Bot Framework
• Power BI
• Visual Studio

Speaker : Shivam Sharma

Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.

Social Handle

LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/