16. WHY AI NOW?
The arrival of machine learning
Performance for decades-old
challenges has been transformed
Image recognition
Speech recognition
October 2016
Microsoft researchers reach human parity in
conversational speech recognition
17. Let’s do a small test
How many dogs can you find in 2 seconds?
20. WHY AI NOW?
Old way: Rules
• Build systems to look for ears,
noses, legs, fur…
• Hire linguists and write
grammar rules
New way: 2012 Machine Learning
• Huge catalogue of images
(way more data)
• Huge computing power
• Over time it learns rather
than need rules
22. Machine Learning as a Service
Cognitive services are trained models ready to use
MICROSOFT COGNITIVE SERVICES
23. MICROSOFT COGNITIVE SERVICES
Language
LUIS
Spell Check
Linguistic Analysis
Text Analytics
Translator
Web Language Model
Vision
Computer Vision
Content Moderator
Emotion
Face
Video
Video Indexer
Speech
Speech
Speaker Recognition
Translator
Custom
Search
Autosuggest
Image
News
Video
Web
Custom
Knowledge
Academic
Entity Linking
Exploration
QnA Maker
Recommendations
Bot Framework
24. Inspirational use cases
What kind of ideas can you steal/borrow and add to your own applications
MICROSOFT COGNITIVE SERVICES