Make A Company Conversational using Azure Cognitive Services
summary
Shows concrete Azure Cognitive Services patterns: a live Q A Maker demo wired into a webchat iframe, a Twitter sentiment pipeline using Logic Apps → Text Analytics → Azure SQL that processed ~25–30 million tweets in a weekend for a football “mood table,” and a C# console translator demo calling the Translate API and returning JSON translations. Demos include endpoints, environment-variable keys, and where models succeed or misclassify, so expect practical how-to detail and costs.
AI-written summary · about
chapters (18)
- 0:00Introduction
- 0:27Make A Company Conversational
- 0:40Azure Cognitive Services
- 1:06About Matt
- 1:48Stay Involved
- 3:31Drive Race Cars
- 4:12Agenda
- 5:52Azure Cognitive Services Overview
- 10:28Vision
- 16:37Language API
- 19:06Immersive Reader
- 24:20LUIS
- 31:12QAMaker
- 36:32Highlights
- 39:42Logic Apps
- 48:52Demo
- 52:27What can companies do
- 54:06Sentiment analysis
related talks
01h 09mDialogue with your Data: Interactive AI with Azure Cognitive Services
50mCognitive Services Extravaganza!
45mBuilding Emotionally Intelligent Apps using Azure AI
01h 03mEasier AI allows everyone to build smart apps
01h 00mDeep dive into building Bots with the Microsoft Bot Framework and Cognitive Services
49mMake your applications intelligent (...)
33mApplied AI: Real-world use cases for Microsoft's Azure Cognitive Services
46mML.NET for developers without any AI experience
