Attended AWS DevDay 2017 Melbourne. This is a summary of what I learned today.
Keywords
- IoT, GreenGrass, offline/local/edge
- Artificial Intelligence
- Cloud Developer / embedded developer
- Serverless
Artificial Intelligence
- Machine Learning and Deep Learning
- Amazon Rekognition, Amazon Polly, and Amazon Lex.
- Machine Learning will become the new normal and essentially part of the product or service
- Feedback loop inherently developed into interfaces and services.
- Train model in the Cloud, Run model at the Edge
- Example
- Unlock with your face
- Cognito (JWT),
- Rekognition
- Lambda
- Amazon API Gateway
- Lex Bank Teller
- Lex Bot Structure
- Intents
- Utterances
- Slots
- Fulfilment
- Smart Teller
- Face detection & face recognition
- Face detection with OpenCV library
- Hot Word
- Silence
- Streaming of audio capture in live-time to reduce latency
- AWS IoT
- NLU powered by Lex
- Face detection & face recognition
- Lex Bot Structure
- Unlock with your face
IoT
- AWS Greengrass – Embedded Lambda Compute in Connected Devices – Amazon Web Services
- run local compute, messaging, data caching, and sync capabilities for connected devices in a secure way.
- AWS IoT Device Shadows
- Lambda Edge
- AWS Step Functions – Coordinate Microservices using Visual Workflows
- Raspberry Pi – Teach, Learn, and Make with Raspberry Pi
Future Developer Model
- Front (UX design/Developer)
- Back(Cloud Developer)
- Enrich and process collected data,
- build companion apps and integrations
- Embed(embedded developer)
- Program devices with local logic
- integrate with hardware sensors and actuators
Asynchronous Models
- Publish/Subscribe
- Queues
- Distributed Computing
- Node.js
- Functional Programming
- Event Driven Architecture
Serverless
Now become a normal structure( there’s no topic for it now!).
Other
- Cognito
- Amazon API Gateway
Idea & Inspiration
- Offline Store traffic/campaign tracking & measurement.
- Auto Highlighting & Focusing On Stage.