Upkar Lidder
Upkar Lidder is a Full Stack Developer and Data Wrangler with a decade of development experience in a variety of roles. He can be seen speaking at various conferences and participating in local tech groups and meetups.
IBM Cloud @ Hacks
Upkar Lidder
#ibmsupport
Why IBM?
@lidderupk
IBM Developer
- Chatbots
- Watson Assistant
- Visual Recognition
- use default classes
- create custom classes
- NLP
- understanding
- tone analyzer
- Databases
- RDMBS (DB2)
- NoSQL (Cloudant, Mongo)
- Quick Prototyping
- Node-RED
- Serverless
- Java, Python, Swift, Javascript, Go, ...
- IoT Platform
- Data Science
- Automated model building (AutoAI)
- Jupyter Notebooks (pandas, numpy, matplotlib, ...)
- Data Wrangling and dashboards
- Machine Learning
- Jupyter Notebooks
- Open Source ML (scikit-learn, Spark MLlib, ...)
- Open Source Deep Learning (Keras, PyTorch, Tensorflow, ...)
- Store and deploy ML and DL models in minutes
IBM Code Patterns
@lidderupk
IBM Developer
Chatbots
@lidderupk
IBM Developer
Watson Assistant - Skill vs Assistant
@lidderupk
IBM Developer
Intents
@lidderupk
IBM Developer
Catalog
@lidderupk
IBM Developer
Entities
@lidderupk
IBM Developer
System Entities
@lidderupk
IBM Developer
Dialog
@lidderupk
IBM Developer
Dialog
@lidderupk
IBM Developer
Slots
@lidderupk
IBM Developer
Add slots to a dialog node to gather multiple pieces of information from a user within that node.
Slots collect information at the users' pace. Details the user provides upfront are saved, and the service asks only for the details they do not.
Digressions
@lidderupk
IBM Developer
Use digressions to handle interruptions and off topic short conversations.
Digressions allow the user to change topics or ask for more information and allows them to come back to the original intent.
Example:
Make an appointment.
What times are you open?
Handlers
@lidderupk
IBM Developer
Use handlers to
- provide responses to questions users might ask during the interaction that are tangential to the purpose of the node
- provide exit route
Example: I need to talk to an agent.
Deploy
@lidderupk
IBM Developer
Where to go from here ...
@lidderupk
IBM Developer
- Advance features
- Disambiguation
- New intents by clustering existing data
- Handlers - handle interruptions in your dialog
- Recommendations to create entities
- Advanced analytics/testing/monitoring
- Call out to a service
- Watson Assistant can call out to IBM Cloud Functions
- Add code to your bot
- Watson Assistant Expression Language
Visual Recognition
@lidderupk
IBM Developer
@lidderupk
IBM Developer
Watson Visual Recognition
•General model: Default classification from thousands of classes.
•Face model: Facial analysis with age and gender.
•Explicit model (Beta): Whether an image is inappropriate for general use.
•Food model (Beta): Specifically for images of food items.
•Text model (Private beta): Text extraction from natural scene images.
Requires training:
•Custom model: Train a custom classifier by providing positive and negative images.
@lidderupk
IBM Developer
General Model Example
@lidderupk
IBM Developer
Faces Model Example
@lidderupk
IBM Developer
Food Model
@lidderupk
IBM Developer
Custom Models
Initial Training
Update Training
@lidderupk
IBM Developer
IBM Watson Studio
Natural Language
@lidderupk
IBM Developer
@lidderupk
IBM Developer
Natural Language Understanding
- Natural language processing for advanced text analysis.
- Supports multiple Languages.
Category
Emotion
Entities
Keywords
NLU - Demo
@lidderupk
IBM Developer
https://natural-language-understanding-demo.ng.bluemix.net/
https://en.wikipedia.org/wiki/San_Francisco
Serverless
@lidderupk
IBM Developer
Use Cases
-
Secure and scalable APIs
- API Gateway ➸ Function
- HTTP level scaling
-
Backend services / micro services
- function/service level scaling
- polyglot functions
-
Event Driven Programming
- Changes in database
- Social events
@lidderupk
IBM Developer
Apache OpenWhisk
Packages
@lidderupk
IBM Developer
Apache OpenWhisk (js)
Entry point
Object In
Object Out
@lidderupk
IBM Developer
Apache OpenWhisk (js)
@lidderupk
IBM Developer
Apache OpenWhisk (py)
Entry point
Dictionary
Dictionary
@lidderupk
IBM Developer
So much more ...
-
More Compositions - Use higher-level programming constructs to declaratively chain together multiple actions.
- while, repeat, let, retry, try, if, etc
- HTTP Actions (web == true)
- Packages community (couchdb, kafka, etc)
- API Gateway (rate limiting, authentication/authorization)
- Install external packages, debugging, etc
@lidderupk
IBM Developer
Node-RED
@lidderupk
IBM Developer
@lidderupk
IBM Developer
Node-RED - building blocks
@lidderupk
IBM Developer
Node-RED - simple API
@lidderupk
IBM Developer
Node-RED - Watson services
https://github.com/watson-developer-cloud/node-red-labs
@lidderupk
IBM Developer
Node-RED - backend service
http://127.0.0.1:1880/multiply?num1=11&num2=22
Cloudant
@lidderupk
IBM Developer
@lidderupk
IBM Developer
What is this NoSQL - it's not SQL for sure 🤣
@lidderupk
IBM Developer
Person table in RDBMS
@lidderupk
IBM Developer
Person in RDBMS 👉🏽 Person in Cloudant
Apache CouchDB - What is a document ?
@lidderupk
IBM Developer
IBM Mobile Starter Kits
@lidderupk
IBM Developer
iOS and Android Templates
@lidderupk
IBM Developer
http://bit.ly/ibm-mobile-starter
Data Science
and Machine Learning
@lidderupk
IBM Developer
Model Asset Exchange
@lidderupk
IBM Developer
https://developer.ibm.com/exchanges/models/
Data Asset Exchange
@lidderupk
IBM Developer
https://developer.ibm.com/exchanges/data/
@lidderupk
IBM Developer
ML on IBM Cloud - Guided ML
@lidderupk
IBM Developer
To help simplify an AI lifecycle management, AutoAI automates:
- Data preparation
- Model development
- Feature engineering
- Hyper parameter optimization
Watson Studio & Watson Machine Learning
@lidderupk
IBM Developer
WML - Supported Frameworks as of 06.21.19
@lidderupk
IBM Developer
Thank you
Let's chat !
@lidderupk
IBM Developer
Upkar Lidder, IBM
@lidderupk
https://github.com/lidderupk/
ulidder@us.ibm.com
IBM Hackathon
By Upkar Lidder
