The document discusses the integration of AI services and tools in the Israeli AI ecosystem, highlighting various applications such as computer vision and language understanding. It emphasizes the ease of use, scalability, and flexibility of these tools, which are designed to support developers in building and deploying AI models. Additionally, the document references specific AI models and training processes, particularly in the context of medical imaging and disease prediction.

7. import Keras!

12. Why Should We Care

14. Israeli AI Ecosystem

15. AI Services
Cloud Infrastructure
Tools

22. Computer Vision
Face
Emotion
Content Moderator
Video Indexer
Custom Vision
Custom Decision
QnA Maker
Language
Understanding (LUIS)
Text Analytics
Bing Spell Check
Translator Text
Speaker Recognition
Bing Speech
Custom Speech
Translator Speech
Speech
unified service
Bing Autosuggest
Bing Search
Bing Entity Search
Bing Statistics add-in
Bing Entity Search
Bing Visual Search
Bing Custom Search

25. Roll your own with REST APIs
Simple to add: just a few lines of code
required
Scalable
Integrate into the language and platform
of your choice
Breadth of offerings helps you find the
right API for your app
Built by experts in their field from
Quality documentation, sample code,
and community support
Easy Flexible Tested
GET A
KEY

39. Empowering Physicians with
Medical Imaging AI

40. Prepare
Data
Register &
Manage Model
Train & Test
Model
Build
Image
…
Build model
(your favorite IDE)
Deploy Service &
Monitor Model
Prepare Experiment Deploy

41. Intelligent Disease Prediction
Data Sources Model Train with Cloud AI Deploy Consume
AC TION
INTELLIGENC EDATA
Azure Machine
Learning
IoT Hub
WindowsML
IOT Edge
Model:
DenseNet-121
Code:
Keras +
TensorFlow
National Institute
of Health
Chest Xray Data
112,120 images
14 pathology labels
30,805 unique patients
Visual Studio
Tools for AI
Manage Models
Azure
Deep Learning GPU VM
VSTS +
CI/CD
CosmosDB +
Azure Functions
NuGet

48. Tag Video Export Tags Train Model
Evaluate Model on New
Video
Validate Model
Suggestions and Fix Errors

55. Rob Speer
how-to-make-a-racist-ai-without-
really-trying.ipynb
From Agrawal et al.
Rob Speer
how-to-make-a-
racist-ai-without-
really-trying.ipynb