The success of any organization in adopting AI to solve real-world problems is dependent on how we empower every developer to be productive using a comprehensive set of AI services, tools and infrastructure. Developers can build intelligent apps of the future by insusing AI, that delivers a unique, differentiated and personalized experience. In this demo and code heavy session, we will demonstrate how easy it is for every developers (without deep AI expertise) to build intelligence into their apps.

3. Learns from data, makes
predictions and improves
with experience
+ =Applications AI
AI
Applications
Cognitive
Services
Custom
AI Models
Custom Services
Bring your Own Data
+ Creativity

4. Cognitive Services +
A little Dash of Creativity
Sample code
https://aka.ms/SampleSnipInsight

5. Cognitive Services, Bot Service

7. + =
Bot Service
Cognitive
Services
Ask & answer questions
with ease!

8. Conference Buddy Architecture
Bot ConnectorUsers

10. Conference Buddy for Pre-Conference
Bot ConnectorUsers

11. Conference Buddy for In-Conference
Bot ConnectorUsers

12. Conference Buddy with World’s Knowledge
Bot ConnectorUsers

14. Data Build Train Deploy Intelligent Apps
Using Custom Vision Models to Build Intelligent Apps
Visual Studio
Custom Vision
Custom Vision.AI
Your Images

17. Machine Learning, Azure IoT

18. Data Build Train Deploy Intelligent Apps
Azure Blob
Raw storage
Docker Image
Model Update +
Manageability
10
01
Building AI Applications for the Intelligent Edge
Model: DenseNet-121
Code: PyTorch and Keras
National Institute of Health
Chest Xray Data
112,120 images
14 different pathology labels
30,805 unique patients
Visual Studio
Tools for AI
Deep Learning
Virtual Machine
(DLVM)
Azure Machine
Learning

19. www.ailab.microsoft.com
https://aka.ms/winmlexplorer
https://aka.ms/winmlfordevsblog
https://aka.ms/conferencebuddy