Microsoft Reactor

In this session, we’ll delve into the Azure AI Language service and its powerful capabilities for creating question answering solutions. Attendees will learn how to build intelligent applications where users can interact with the system using natural language to ask questions and receive accurate answers. The session covers essential features such as knowledge base creation, multi-turn conversation management, and active learning. Through practical examples and hands-on exercises, participants will gain experience in setting up, testing, and deploying a question answering system using Azure’s language processing APIs. This will enable attendees to enhance user engagement, automate customer service, and streamline data-driven decision-making.

Read More - https://aka.ms/Azure-AILanguage

How do you think a Start-up will be benefited from this session?
Start-ups can significantly benefit from integrating question answering capabilities into their applications. This session teaches how to leverage Azure AI Language to build a cost-effective, scalable solution that automates the process of answering customer queries and retrieving essential information. Start-ups will learn best practices for setting up and managing a knowledge base, enhancing their ability to make data-driven decisions, track customer sentiment, and provide timely responses. This session provides valuable insights into integrating AI into their offerings, leading to better user experiences and operational efficiencies.

The session will focus on:
Understanding Question Answering with Azure AI Language: An overview of the capabilities and applications of question answering in Azure AI.
Creating and Configuring a Knowledge Base: Step-by-step instructions for setting up a knowledge base in Azure, including how to structure and populate it with relevant information.
Implementing Multi-turn Conversations: Techniques for managing multiple interactions and maintaining context during conversations.
Active Learning: How to continuously improve the performance of the question answering system based on user feedback.
Hands-on Exercise: Participants will practice setting up a question answering solution, creating a knowledge base, testing it, and interacting with it using natural language queries.

What will the attendees or a Start-up learn from the session?
Attendees, including start-ups, will gain the following:
Skills to set up and configure a question answering solution using Azure AI Language.
Techniques for implementing multi-turn conversations to maintain context and improve user interactions.
How to use active learning to enhance the quality and accuracy of answers based on feedback.
Practical experience with Azure AI’s question answering capabilities for automating customer service and improving data-driven decisions.
Knowledge of best practices for integrating Azure AI Language into their applications to optimize AI-driven solutions and enhance customer engagement.

Speaker BIO- Viswanatha Swamy
He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies.

Social Handle- https://twitter.com/vishipayyallore