Building great conversational Apps with Google Technologies

This document summarizes the process for creating a chatbot using DialogFlow. It discusses setting up an account, creating agents and intents, adding entities and parameters, setting up fulfillment through webhooks, and enabling integrations. The presentation provides examples of building a banking chatbot called JollofBank that can handle intents like account opening, funds transfer, transactions, and airtime recharge through fulfillment code.

A sharing of how difference pieces of technologies can be put together to be great solution for small businesses. Technologies involved: Microsoft BotFramework, SignalR and ASP.NET Core on Azure. www.techconnect.io Youtube: https://www.youtube.com/watch?v=nwGFZA0h9k8&feature=youtu.be

SharePoint + Xamarin for Visual Studio provides ability to build great business mobile apps using C# as the main programming language. It can build apps for iOS, Android, Kindle Fire and more. Apps are built with standard, native user interface controls. Apps not only look the way the end user expects, they behave that way too. Xamarin Studio provides integration with Visual Studio, IDE for Mac as well as Windows IDE for Android development. Apps are build using familiar language(C#) and namespace base on .Net framework which we all have come to love. Your users will love using Apps that target to their personal device, which intern will increase productivity and business value.

Business processes are crucial and documentation are often done with high human involvement. The possibilities of automating it can be valuable to us. Join us to explore, discuss and share more.

This document discusses combining Azure, Power Platform, and Microsoft Teams to deliver an enhanced user experience. It describes using Azure Blueprints to define repeatable resource deployments, a custom connector for the Azure Blueprints REST API, and Adaptive Cards in a Power App and Teams flow to automate a request and approval process. Key aspects covered include using Resource Manager templates in Blueprints, assigning policies, and the roadmap for using Adaptive Cards without coding in Power Virtual Agent.

This document provides an agenda and objectives for an Amazon Polly and Amazon Lex workshop. The agenda includes quick overviews of Polly and Lex, hands-on exercises for both Polly and Lex, and a summary. The objectives are to get hands-on experience with Polly and Lex and build a Lex bot. The overviews explain that Polly converts text to speech, Lex builds conversational interfaces, and the exercises provide example bots to build and links to follow.

Learning Objectives: - Learn how to setup and configure AWS API Gateway - Learn how to leverage AWS Lambda as the compute layer in front of Amazon Lex - Learn about Multi-bot architecture Amazon Lex offers built-in integrations with Slack, Twilio, Marketo, Salesforce, Quickbooks, Microsoft Dynamics, Zendesk, and Hubspot. But, you can also integrate with any other application by combining the Lex API and AWS API Gateway to extend your chatbots into virtually any use case with minimal effort. This session will show you how. The design pattern shown will be interesting to folks who want to build a pre-processing layer in front of Lex or want to route messages to multiple specialized bots.

ML Kit is the SDK that makes machine learning features more straightforward for the mobile developers to incorporate in their apps. Since ML Kit has been made a core ingredient of Firebase ,its robust ML APIs can be implemented seamlessly in both android & IOS apps like it’s any other feature such as analytics, crashlytics etc. The flexibility provided by ML Kit for mobile developers to use On-device or On-Cloud ML Apis as per the use case is quite significant . In this session we will take deep dive in the different ready to use APIs of ML Kit encapsulating the features of Mobile Vision, Google Cloud Vision API, TensorFlow Lite and Neural Network API.

Many businesses today should understand the importance of using AI to improve the business processes and delight customers. We will show how you can use AI & ML technologies to get insights from processed data