Experimental Scripts Written in R Programming Language, leveraging RCURL and HTTR that Access the IBM Watson Services / APIs
R Scripts for Watson
Experimental Scripts Written in R Programming Language, leveraging RCURL that Access the IBM Watson Services / APIs
see: http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/ for services
This is VERY rough code - mostly proof of concept work - so not hardened
https://dreamtolearn.com/ryan/r_journey_to_watson for some blogs
The postings on this site are my own and don’t necessarily represent IBM’s position, strategies or opinions. Anyone is free to use, copy, distribute, modify or sell the source code here on GitHub and other materials directly linked from dreamtolearn.com and is provided “as is” without warranties. I am not responsible for any harm or damage caused to your computer, software or anything else caused by the material. (So handle with care 😃
Searching for SORTING HAT info? Look here: https://dreamtolearn.com/ryan/data_analytics_viz/98
Sorting Hat CSV written by Lucy Anderson
You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
https://github.com/rustyoldrake/R_Scripts_for_Watson/blob/master/bridges_r_to_watson_logo2.png
IBM Watson - Starter Kits
CODE PATTERNS: https://developer.ibm.com/code/technologies/artificial-intelligence/
DEVELOPER PATTERNS - https://developer.ibm.com/code/patterns/
50+ USE CASES (searchable) - https://www.ibm.com/w3-techblog/use-cases/
CALL FOR CODE - https://developer.ibm.com/callforcode/resources/
NLU BEST PRACTICES - https://www.eba.ai/docs/articles/NLUBestPractices.html
IBM CODER PROGRAM https://ibmcoders.influitive.com/ (w registration)
MAINT https://developer.ibm.com/callforcode/resources/preventative-action/
BUILD WITH WATSON Starter kits & resources: https://console.bluemix.net/developer/watson/dashboard
COGNITIVE CLASS - https://cognitiveclass.ai/courses/
IBM BLUEMIX DOCUMENTS - https://console.bluemix.net/docs/
WATSON LANDING PAGE - https://github.com/dtoczala/watson-landing-page
CALL CENTER INSTRUMENTATION & ANALYTICS (CCIA) - https://github.com/mamoonraja/call-center-think18/blob/master/README.md
USAGE INSIGHTS https://developer.ibm.com/code/patterns/discover-hidden-facebook-usage-insights/
APPLICATION STARTER KITS (ASKs) - https://www.ibm.com/watson/developercloud/starter-kits.html
IBM GBS Patterns (IBM GBS internal) https://cognitive-asset-library.mybluemix.net/
ARCHITECTURE CENTER: https://www.ibm.com/devops/method/category/architectures
WATSON ACCELERATORS https://watsonaccelerators.mybluemix.net/welcome
REDBOOKS - Building Cognitive Applications with IBM Watson Services series is a seven-volume collection that introduces IBM Watson cognitive computing services. http://www.redbooks.ibm.com/redbooks.nsf/pages/cognitiveapps
Create Shiny Web App Dashboard in R https://medium.com/ibm-data-science-experience/create-r-shiny-web-apps-with-data-science-experience-and-bluemix-bbf51c0bf4db
CODE HOME: Collection REST APIs and SDKs that use cognitive computing to solve complex problems: https://github.com/watson-developer-cloud
GETTING STARTED WITH BLUEMIX - https://www.youtube.com/watch?v=u0Tx2QzBZqA
ZERO TO COGNITIVE - building first app https://www.youtube.com/watch?v=c5nmbF72lCM
GENTLE INTRO / BEGINNER TO BOTS & DESIGN THINKING - t https://developer.ibm.com/courses/all/chatbots-for-good-empathetic-chatbots/
ARCHITECTURES & PATTERNS - IBM’s architectures provide the best practices for building applications in the Cloud. https://www.ibm.com/devops/method/category/architectures/
Cloud Patterns, AI Patterns, Data Patterns https://developer.ibm.com/code/
CUSTOMER CARE - Sample application demonstrating how the Watson APIs can be used to support customer care on Twitter - https://github.com/watson-developer-cloud/social-customer-care
VIsion - Sample ASP.Net Core Application for the IBM Watson Visual Recognition Service https://github.com/watson-developer-cloud/visual-recognition-aspnet
A Deploy-To-Bluemix enabled instance of Node-RED that can be forked, customized and reused. https://github.com/watson-developer-cloud/node-red-bluemix-starter
Bot Builder - A simple sample application demonstrating the conversation api - https://github.com/watson-developer-cloud/conversation-simple
SPEECH - Sample Node.js Application for the IBM Watson Speech to Text Service - https://github.com/watson-developer-cloud/speech-to-text-nodejs
PYTHON to Twitter API to fetch a user’s timeline and then calls Watson Personality Insights to estimate their personality traits. https://github.com/watson-developer-cloud/personality-insights-twitter-python
PYTHON - Audio - https://github.com/profjsb/python-seminar/blob/master/DataFiles_and_Notebooks/04_Interacting_with_the_World/4_audio.ipynb
PYTHON - Josh Bloom Heaps of info https://github.com/profjsb/python-seminar
SPEECH Python - Python client that interacts with the IBM Watson Speech To Text service through its WebSockets interface - https://github.com/watson-developer-cloud/speech-to-text-websockets-python
SPEECH Python Streaming - https://dreamtolearn.com/ryan/r_journey_to_watson/42
Conversation + NLU + Weather + Tone Analyzer: https://github.com/joe4k/conversation-nlu-ta
Conversation + NLU + Weather + Tone Analyzer + Personality Insights: https://github.com/joe4k/conversation-nlu-ta-pi
http://freedville.com/blog/2017/10/12/what-does-your-cognitive-system-know-about-your-documents-and-why-does-it-matter/
http://freedville.com/blog/2017/10/27/how-to-organize-documents-when-digitizing-them/
https://developer.ibm.com/code/patterns/analyze-san-francisco-traffic-data-with-ibm-pixiedust-and-data-science-experience
https://developer.ibm.com/code/patterns/analyze-starcraft-ii-replays-with-jupyter-notebooks
https://developer.ibm.com/code/patterns/analyze-open-medical-data-sets-to-gain-insights
https://developer.ibm.com/code/patterns/create-visualizations-to-understand-food-insecurity
IBM Watson - Useful Blogs and Code Snippets
WDC Home Page - http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/
IBM Watson Github - https://github.com/IBM-Watson
WDC GIT Repo - https://github.com/watson-developer-cloud
Data Refinery in Watson Studio - SHape Data - https://medium.com/ibm-watson/shaping-your-unstructured-text-for-machine-learning-9b60b889b30e
Series of webinars called “Building with Watson” that we run biweekly. It’s a technical web series for developers who want to or are beginning to build with Watson APIs http://www.ibm.com/watson/building-with-watson-webinar.html
Study Guide - https://github.com/havasnewyork/IBM-Watson-Developer-Certification-Study-Guide
Cognitive Catalyst - https://github.com/cognitive-catalyst
Ryan Anderson Blog - https://dreamtolearn.com/ryan/r_journey_to_watson
Ryan Anderson GIT - https://github.com/rustyoldrake/R_Scripts_for_Watson
Ryan’s YOUTUBE - https://www.youtube.com/c/RyanAndersonTechnical
REACT - https://dreamtolearn.com/ryan/data_analytics_viz/109 Receive Extract Analyze Classify and Targeted Re-insert -
Anthony Stevens Blog - Cogntive Resonance - https://medium.com/cognitive-resonance
Anthony Stevens GIT - https://github.com/biosopher
Joe Jozhaya’s Blog - https://kozhayasite.wordpress.com/
Watson Developer Cloud Performance Evaluation Utilities https://github.com/joe4k/wdcutils/
Alchemy SDK Home - http://www.alchemyapi.com/developers/sdks
Zach Blog - http://blog.alchemyapi.com/author/zach-walchuk
Andrew Freed - http://freedville.com/blog/
Chris Madison Blog - http://cmadison.me/
Andy Trice - IBM Watson Vision - http://www.tricedesigns.com/ * VISION *
David C Martin Links: Age at Home ibm.biz/ageathome github.com/dcmartin/age-at-home and AgeAtHome (resin.io for Rpi)
Tox Blog - https://dtoczala.wordpress.com/
James’ Blog - GROUND TRUTH AND TESTING NLC https://brainsteam.co.uk/2016/03/29/cognitive-quality-assurance-an-introduction/
JeanCarl and Node Red: http://jeancarlbisson.com/
NODE RED - https://medium.com/ibm-watson-developer-cloud/get-started-with-node-red-77b304558b75
Professor Languo - https://github.com/watson-developer-cloud/professor-languo
SchoolFInder http://nycschoolfinder.mybluemix.net/
NLP Enriched Product Reviews: https://ibm.box.com/s/z9dg2ocg0jhg6a811llwsqcaatbfzh8a
IBM WDC Services for the Non-Technical (IBM lunch and learn) https://ibm.box.com/s/d2zmhv48uxpl0t70m85jj68gljj7720r
Tradeoff Analytics to help choose better: http://tradeoff-analytics-demo.mybluemix.net/
Analyzing movie review with “IBM Insights for Twitter”: https://www.youtube.com/watch?v=9yVNwOs9L4c
Golden State Warriors - http://www.nustory.com/special-project-golden-state-warriors-social-media-investigation/
TRAINABLE Visual Classification Model https://visual-recognition-demo-v2.mybluemix.net/
RETRIEVE AND RANK - Chris Ackerson Developing with IBM Watson Retrieve and Rank: Part 1 Solr Configuration https://medium.com/machine-learning-with-ibm-watson/developing-with-ibm-watson-retrieve-and-rank-part-1-solr-configuration-29c18e52966f#.25jegq21i
SEVENTY DAYS - 3 steps for building a cognitive solution in 70 days https://developer.ibm.com/dwblog/2016/cognitive-solution-70-days-joe-kozhaya/
Deep Learning and ML Models
https://developer.ibm.com/code/exchanges/models/
Virtual Reality and Augmented Reality for Enterprise
IBM IX - https://www.youtube.com/watch?v=iamSHeHDe7o
Immersive Insights https://www.youtube.com/watch?v=6WRNqdOMXmc
Speech Sandbox https://www.ibm.com/innovation/milab/work/speech-sandbox/
Enterprise Design Patterns - https://dreamtolearn.com/ryan/cognitivewingman/4
Tumblr http://thinkvr.tumblr.com/
Twitter https://twitter.com/cognitiative
FLipboard https://flipboard.com/@ibmgbs/thinkreality-8ak0jtsgz
Star Trek / Unity / Ubisoft https://www.theverge.com/2017/5/11/15621930/star-trek-bridge-crew-voice-commands-ibm-watson
IBM Watson - Handbooks
Watson Developer Cloud Handbook: https://ibm.box.com/s/nav52vt6q2xwib5zqwupwjf78mxtgems
Personality (PI) Handbook https://ibm.box.com/s/6h8dxsc3pq5idtgehjb6fwh7vbejsvtc
Natural Language Classifier (NLC) Handbook: https://ibm.box.com/s/rdlog2sue79178816s0rabkbi7ifu5vg
Retrieve and Rank (R&R) Handbook: https://ibm.box.com/s/n0lqowt0v97nxb5mtei6qrbkkbtdt2dm
Cognitive Patterns: https://ibm.box.com/s/x36om0iumv049f8ns4udh4fjkkb94rvt
Watson Assistant - Conversational Agents, Speech & Hardware (Chatbots)
Building with Watson, many links below are from list of articles from https://medium.com/@snrubnomis/purple-brain-2eb1f93fce5 from Simon Burns
Simon Says: Simon Burns’ Multiple Assets for Assistants and Chatbots https://medium.com/@snrubnomis and https://medium.com/@snrubnomis/conversational-directory-5a5531749295
Getting Chatty with IBM Watson https://medium.com/@snrubnomis/getting-chatty-with-ibm-watson-1075c549ee9e
Chatbot: Deconstructed https://medium.com/@snrubnomis/bot-deconstructed-995c18fe1262
I Digress Watson https://medium.com/@snrubnomis/i-digress-watson-543ab4bded58
Purple Brain https://medium.com/@snrubnomis/purple-brain-2eb1f93fce5
Watson Assistant - https://www.ibm.com/watson/services/conversation/
This is a simple conversation to demonstrate how a user’s emotional tone can be used to provide more tailored and empathetic responses by integrating Watson Conversation and Watson Tone Analyzer. http://food-coach.mybluemix.net/
Watson Conversation Service – Deep Dive (with PPT deck) - https://joshicohen.wordpress.com
Conversational Guidelines: https://conversational-ux.mybluemix.net/design/conversational-ux/
Web Based Intelligent Personal Assistant: https://github.com/biosopher/watson-ipa-web-nodejs/
Seriously, what do I need a bot for?
The Bots are Coming!
Getting Chatty with IBM Watson
Conversation Patterns with IBM Watson
Bot Feedback with IBM Watson
An Adventure with Watson
Santa’s Little Twitter Bot
IBM Watson Gets Personal
A Cognitive Mystery
Differentiating the same with IBM Watson Conversation
Gathering Information with IBM Watson Conversation
My First Bot
Let Watson Guide You
Conversational Design
Write On
Recent Advances in Conversational Speech Recognition - https://developer.ibm.com/watson/blog/2016/04/28/recent-advances-in-conversational-speech-recognition-2/
Watson + Hardware and Robotics Hacks - Talking to Hardware
TJBOT - Bring TJ Bot to life (raspberry pi) https://ibmtjbot.github.io/
TJ Waves - https://github.com/victordibia/tjwave
TJ BOT 1- https://medium.com/ibm-watson-developer-cloud/build-a-chatbot-that-cares-part-1-d1c273e17a63#.g21fogr8r
WEARABLE TONE - A cognitive computing experiment to analyze audience’s collective tone of voice http://tone-led-pin.mybluemix.net/
IOT Slides and some nice embedded video http://stt-iot-slides.mybluemix.net/3 - IOT - General Architecture for Voice Interaction Quickstart guide https://developer.ibm.com/recipes/tutorials/general-architecture-for-voice-interaction-quickstart-guide/
How To Build a Candy Machine With Feelings https://medium.com/@joshzheng/how-to-build-a-candy-machine-with-feelings-922285a475c8#.84xx9zdel
Cognitive Lego - STT TTS activated Lego-Bot https://www.youtube.com/watch?v=m4bzQUjr10E
Cognitive Wingman - Autism Assist Prototype https://www.youtube.com/watch?v=OyM3GfHVY4w
Cognitive Wingman - Never Walk Alone - http://cognitivewingman.com/
Igor Ramos - cool demo of “Cognitive + IoT + Blockchain” put together as a talking candy machine. https://vimeo.com/174682798/a4c41a5eb8 http://cognitivecandy.io/free-candy
BEER - Come and taste it - https://www.ibm.com/innovation/milab/work/ibm-sxsw-tasting-experience/
Voice Controlled Robot Arm ($1) - https://dreamtolearn.com/ryan/r_journey_to_watson/40
WINE Selection with your Food: STT NLC TTS - https://www.youtube.com/watch?v=KPOANTGm3hQ
COFFEE Selection by taste https://www.youtube.com/watch?v=9PtkXj07-4U
IBM Blue Voice - Playing with Amazon Echo/Alexa - very light test https://www.youtube.com/watch?v=QyXDUxkNj_k
Audio Analysis Dashboard - TedTalks and Youtube Vids TRANSCRIPTS gen https://audio-analysis-application-starter-kit.mybluemix.net/
MACKENZIE - an IBM Watson Powered Speech / Text / NLC interface for R-Studio https://www.youtube.com/watch?v=imNjZKtyx0s
Sensemaking Systems in Call Centers - https://dreamtolearn.com/ryan/r_journey_to_watson/55
Boaty Mc Boatface - https://dreamtolearn.com/ryan/r_journey_to_watson/36
IBM Skylink connects drones to the IBM Cloud in real time https://techcrunch.com/video/ibm-skylink-connects-drones-to-the-ibm-cloud-in-real-time/57727f125095493da6cdaa7c/
Call for Code: Introducing DroneAid, Puerto Rico - DRONES post disaster https://www.youtube.com/watch?v=9fRcis-5Zuc
create the workings for a multilingual chat room using OpenWhisk, Watson Text to Speech and Watson Language Translator. https://github.com/IBM/serverless-language-translation
Unity Language Translation in some of these videos - https://www.youtube.com/watch?v=sZAlfx8X5kc&list=PLXQJDMm1VnWDHsdlNmDff6pouHa_jpMUw TTS expressive and STT
Data Discovery & User Segmentation
2: PI Driven Segmentation: https://ibm.box.com/s/h1rslp5yzbobl7j2jvcndigpq8pmo798
IBM Sports - IX - https://www.youtube.com/watch?v=7zKLEyLTqNU - Toronto Raptors UX/Data Viz/Watson
Leveraging personality to predict consumption preferences https://www.ibm.com/blogs/watson/2016/10/leveraging-personality-predict-consumption-preferences/
Watson Ads https://watsonads.com
10 Major Brands Using IBM Watson - http://www.topbots.com/10-major-fortune-500-brands-using-ibm-watson/
Equals3 Lucy - Powered by Watson - http://equals3.ai/
Influential - Powered by Watson (Social Listening and Social Messaging) - https://influential.co/
Vision and Visual Recognition
VERY GOOD: Localized IBM Watson Visual Recognition using image preprocessing
(great blog and source code from Andrew Trice )
https://www.ibm.com/blogs/bluemix/2017/03/sharpen-watson-visual-recognition-results/
Slice and Dice Images (very good)
This is complete source code for visualizing localized results for a single class, within a single custom classifier using image preprocessing (tiling) techniques, and will run on Bluemix as-is. You can re-use as much as needed. You just need to specify your Watson VR key and the classifier ID inside of app.js. It can also be extended to support multiple classifiers and multiple classifications within a classifier
https://github.com/IBM-Bluemix/Visual-Recognition-Tile-Localization
Info & Demo:
Visual Recognition Overview - http://www.ibm.com/watson/developercloud/visual-recognition.html
Visual Recognition demo - https://visual-recognition-demo.mybluemix.net/ (“Try” = out-of-the-box tagging, “Train” = custom classifiers)
Similarity Search demo - https://similarity-search-demo.mybluemix.net/
Best practices for custom classifiers - http://ibm.co/2ehdy7P
Guidelines for good training - http://ibm.co/2cpFS7i
API Reference - bit.ly/VR-ref
Documentation - bit.ly/VR-docs
Fork on Github - bit.ly/VR-github
Use Cases:
Visual Recognition Use Cases by Industry - http://ibm.co/2e1Frzr
OmniEarth case study (satellite imagery) - http://ibm.co/2cldt3w
Drones performing inspections: https://youtu.be/BWDfP_udMA0
Drones gathering live video data: use case -
http://ibm.co/2dLwa1y https://techcrunch.com/2016/06/29/ibm-drone/source code - https://github.com/IBM-Bluemix/skylink
Drones performing unmanned inspections: http://bit.ly/2fCpgt9
Hail damage classification with Watson - https://youtu.be/VrZMQZSB_UE?t=1h8m6s
Similarity search for retail: http://bit.ly/1sKkaRm
Visual Recognition for videos: https://github.com/IBM-Bluemix/openwhisk-darkvisionapp
iTrend case study - http://ecc.ibm.com/case-study/us-en/ECCF-ASC12419USEN
US Open - https://www.ibm.com/blogs/bluemix/2016/09/us-open-2016-bluemix-delivering-cognitive/
Pokemon Go - https://www.ibm.com/blogs/internet-of-things/pokemon-go-watson/
Seafood Fraud (U.S. State Dept hackathon winner) - https://devpost.com/software/dory
Under Armour + IBM Watson - http://ibm.co/2jqOBKE
YNAP Video (Retail): https://ibm.ent.box.com/s/kocj7yor2aol9g4ny6obdola0lio7m2f
Tile Localization technique / code: https://github.com/IBM-Bluemix/Visual-Recognition-Tile-Localization
CRM magazine IBM’s Augmented Shopping Advisor https://www.youtube.com/watch?v=nyM9Pfa-yOI
IBM UK - IBM and Tesco test Augmented Reality mobile app https://www.youtube.com/watch?v=qJMyC9o08OM
ANDY TRICE’S GOODIES:
Here is a CLI for the Watson Visual Recognition service:
https://developer.ibm.com/dwblog/2017/command-line-tools-watson-visual-recognition/
Best practices for custom classifiers - http://ibm.co/2ehdy7P
Guidelines for good training - http://ibm.co/2cpFS7i
Andrew Trice demonstrates a solution for insurance adjustment utilizing drones and built on IBM Bluemix. Build cognitive solutions
https://www.youtube.com/watch?v=ITE-TCtDlBM&feature=youtu.be
Digital Twins and Asset Management
IBM Watson & Digital Twins - Holistic Asset Management
https://www.linkedin.com/pulse/digital-twins-threads-holistic-asset-management-ryan-anderson
Designing Better Machines - PPT Deck from Sky on Cognitive Digital Twin https://www.slideshare.net/IBMIoT/hannover-messe-evolution-of-a-cognitive-digital-twin
What is Digital Twin?
https://www.ibm.com/blogs/internet-of-things/digital-twin/
https://www.slideshare.net/IBMIoT/ibm-watson-internet-of-things-introducing-digital-twin (slides)
IBM launches new Digital Twin and Platform capabilities for Watson Internet of Things
https://www.ibm.com/blogs/internet-of-things/new-digital-twin-capabilities/
Building a Digital Twin using Watson IoT Platform
https://developer.ibm.com/iotplatform/2017/05/01/building-digital-twin-using-watson-iot-platform/
IOT & Digital Twin - Industry 4.0
https://www.enterpriseirregulars.com/113624/ibm-watson-iot-digital-twin-industry-4-0/
Digital Twin: Bridging the physical-digital divide
https://www.ibm.com/internet-of-things/resources/digital-twin/digital-convergence/
Immersive Insights and International Space Station (Watson Verbal Interface)
https://www.youtube.com/watch?v=6WRNqdOMXmc
https://vimeo.com/216672088
Blogs
https://www.ibm.com/blogs/internet-of-things/category/iot-digital-twin/
https://www.ibm.com/blogs/internet-of-things/author/matthew-mikell/
IoT - INTERNET OF THINGS
https://github.com/IBM/serverless-home-automation
https://developer.ibm.com/code/events/ibm-code-tech-talk-implement-voice-controls-for-a-serverless-home-automation-hub/
Retail
Walmart - block chain food safety - https://www-03.ibm.com/press/us/en/pressrelease/50816.wss
Tesco - Planogram Compliance project - https://www.youtube.com/watch?v=qJMyC9o08OM
Staples - Easy Button project - https://www.youtube.com/watch?v=BpmvF8KPyag
Boots UK - https://www.youtube.com/watch?v=NXyq6p6oRtg
Apple - Transforming/Digitizing the Store Experience. https://www.youtube.com/watch?v=Mh1RLbOP7jE
Automotive
Schaeffler - www-03.ibm.com/press/us/en/pressrelease/50673.wss
Honda - formula 1 - /www-03.ibm.com/press/us/en/pressrelease/49355.wss
Local Motors - Olli - www-03.ibm.com/press/us/en/pressrelease/49957.wss
Buildings
Kone - www.ibm.com/watson/stories/kone-with-watson.html
https://www-03.ibm.com/press/us/en/pressrelease/49143.wss
ISS - www-03.ibm.com/press/us/en/pressrelease/50059.wss
Kimberly Clark - facilities - https://www-03.ibm.com/press/us/en/pressrelease/49634.wss
Manufacturing
Northstar Bluescope Steel - employee safety - www-03.ibm.com/press/us/en/pressrelease/49994.wss
Whirlpool - https://www-03.ibm.com/press/us/en/pressrelease/48762.wss
Siemens - http://www.siemens.com/press/en/pressrelease/?press=/en/pressrelease/2016/digitalfactory/pr2016120102dfen.htm&content[]=DF
Electronics
Panasonic - Digtial Concierge - http://www-03.ibm.com/press/us/en/pressrelease/51350.wss
Ricoh - interactive whiteboard - https://www-03.ibm.com/press/us/en/pressrelease/51571.wss
Whirlpool - https://www-03.ibm.com/press/us/en/pressrelease/48443.wss
Panasonic, Nokia, Bragi https://www-03.ibm.com/press/us/en/pressrelease/50452.wss
Travel & Transportation
SNCF https://www.ibm.com/annualreport/2016/story/railway-engineers.html
Watson Visual Recognition food model
OM blog: https://ibm.biz/BdingD
Research blog: https://ibm.biz/Bdin8k
Demo: https://visual-recognition-demo.mybluemix.net/
Documentation: https://ibm.biz/Bdin86
Tooling: http://visual-recognition-tooling.mybluemix.net/
IBM Watson Service Demos
1 NLC - And Factoid Demo - http://nlc-factoid-assistant.mybluemix.net/
NLC Anthony’s Factoid Assistant Code https://github.com/biosopher/nlc-factoid-assistant
NLC for claims processing https://www.youtube.com/watch?v=FKDmZ0XO-eo&feature=youtu.be
NLC bootstrapping from TONE for custom TONE https://www.youtube.com/watch?v=2aVPvJI9tM0https://www.youtube.com/watch?v=2aVPvJI9tM0
Text to Speech: http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/text-to-speech.html
Speech to Text : http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/speech-to-text.html
Tone Analyzer Demo https://tone-analyzer-demo.mybluemix.net/
TWILIO - Test Platform to integrate with Watson Enabled Twilio service - https://github.com/cognitive-catalyst/twilio
100 IBM Watson Videos - http://meta-guide.com/videography/100-best-ibm-watson-videos
Spark
Spark Streaming - Rafi Kurlansik https://github.com/kurlare/spark_streaming_demo
Generalized Streaming Pipelines with Apache Spark and Kafka https://www.youtube.com/watch?v=xCAjoFZbMxA&feature=youtu.be
Alchemy API Webinars: Previous session replays:
(( Playback engine will request your name and email prior to playing ))
Social Media Monitoring APIs in a BI Dashboard http://event.on24.com/wcc/r/1153654/770B652E9F4AFC708BB2D5A600A41340
Social Media Monitoring Enhanced with Watson APIs http://event.on24.com/wcc/r/1153652/D463791F71820D25339AD6EA5F05A474
Conversational Application Showcase http://event.on24.com/wcc/r/1107724/84FB28E42E72115B858C5EFB8A37042A
Deploying Your Watson App to Bluemix http://event.on24.com/wcc/r/1107715/BC45F88174B46138FE4462D19D7D20D1
Beyond the Basics for Conversational Apps http://event.on24.com/wcc/r/1107724/84FB28E42E72115B858C5EFB8A37042A
Training and Preparing Your Conversational System http://event.on24.com/wcc/r/1107704/3CCFE57431F112C415D260FBF1CFA284
Conversational Apps Built with Watson Language APIs http://event.on24.com/wcc/r/1107697/A56FA5C2E0A6CC69BF4D85DF23863B6F
Optimize Conflicting Decisions with the Tradeoff Analytics API http://event.on24.com/wcc/r/1055068/C3FC544341E5A63C92B9183FA9AEF214
Interpreting Language Using the Natural Language Classifier http://event.on24.com/wcc/r/1055061/575ABEBB77C459FE4F9FC8BEE5680AD5
Taking Speech to a New Level of Intelligence with NLP http://event.on24.com/wcc/r/1055048/F5A353D11E57E0D5059BF3576DDC130E
Building an App using the News API http://event.on24.com/wcc/r/1055033/9D3FFC43AE6DAD8D11054232A291BE85
