AI for developers: Making your application smarter with Azure Cognitive Services.

Originally from Mexico. Tech Lead at Geneca. Spend time with family, movies, videogames, soccer. @thesoccerdev drkclw samueljgomez

Agenda • AI implementation options. • Why use Cognitive Services. • Cognitive services APIs. • Applied services APIs. • Demo.

AI / ML

AI Implementation options. Prebuilt models Build model

Building your own model Collect and Identify data prepare data 2 1 Train model 3 Deploy model Test model 4 5

Why use Cognitive Services • APIs for multiple scenarios. • Easy to integrate with available SDKs: • • • • • C# Go Java Javascript Python • Free tier for multiple services. • Customizable.

API categories Speech Language Vision Decision

Speech

Speech API Improve customer experience Speech to text Text to speech Speech translation Speaker recognition

Language

Language API Understand conversations and text Entity recognition Sentiment analysis Question answering Conversational language understanding* Translator

Vision

Vision API Identify and analyze content Computer Vision Custom Vision Face API

Decision

Decision API Smarter decisions Anomaly Detector Content Moderator Personalizer

Applied services

Applied Services API Services for common business problems Form recognizer Immersive reader Metrics advisor Video indexer

Applied Services API Cognitive search Bot service

DEMO

What will we cover? • Creating a resource. • Testing APIs. • API usage examples. • Vision. • Speech to text. • Language understanding. • Custom model example.

https://www.rambli.com/2016/06/the-prayer-of-the-demo-gods/

@thesoccerdev drkclw samueljgomez