Topic of presentation: Microsoft AI: a new era of smart solutions The main points of the presentation: In this presentation we will talk about Microsoft's tools and products that will add some intelligence to your apps and solutions.We will talk about Cognitive Services, chatbots, Cortana and Alexa, Deep Learning and Azure Machine Learning. http://dataconf.com.ua/index.php#agenda #dataconf #AIBDConference

2. About
1. CEO DevRain Solutions
2. CTO DonorUA
3. Microsoft Regional Director
4. Microsoft Artificial Intelligent MVP
5. Ph.D. in Computer Science

4. AI versus Human
1. (1997) Deep Blue versus Garry Kasparov (3½–2½)
Deep Blue wins!
2. (2016) Google’s AlphaGo versus Lee Sedol (4-1)
AlphaGo wins!
3. (2017) Google’s AlphaGo versus Ke Jie (3-0)
AlphaGo wins!

5. TayTweets

6. Microsoft AI
1. Azure Cognitive Services
2. Microsoft Bot Framework
3. Deep learning (Microsoft Cognitive Toolkit)
4. Data and analytics platform

8. Azure Cognitive Services
APIs:
1. Translator Speech API
2. Speaker Recognition API
PREVIEW
3. Bing Speech API
4. Custom Speech Service
PREVIEW
Speech
Processing spoken language in your
applications.

9. Azure Cognitive Services
APIs:
1. Language Understanding
Intelligent Service PREVIEW
2. Text Analytics API PREVIEW
3. Bing Spell Check API
4. Translator Text API
5. Web Language Model API
PREVIEW
6. Linguistic Analysis API
PREVIEW
Language
Allow your apps to process natural
language, evaluate sentiment and topics,
and learn how to recognize what users
want.

10. Linguistic Analysis API
Explore the structure of your text.

11. Azure Cognitive Services
APIs:
1. Recommendations API
PREVIEW
2. Academic Knowledge API
PREVIEW
3. Knowledge Exploration
Service PREVIEW
4. QnA Maker API PREVIEW
5. Entity Linking Intelligence
Service API PREVIEW
6. Custom Decision Service
PREVIEW
Knowledge
Map complex information and data in
order to solve tasks such as intelligent
recommendations and semantic search.

12. Azure Cognitive Services
APIs:
1. Bing Autosuggest API
2. Bing Image Search API
3. Bing News Search API
4. Bing Video Search API
5. Bing Web Search API
6. Bing Custom Search
PREVIEW
7. Bing Entity Search API
PREVIEW
Search
Make your apps, webpages, and other
experiences smarter and more engaging
with the Bing Search APIs.

13. Azure Cognitive Services
APIs:
1. Computer Vision API
2. Face API
3. Content Moderator
4. Emotion API PREVIEW
5. Video API PREVIEW
6. Custom Vision Service
PREVIEW
7. Video Indexer PREVIEW
Vision
State-of-the-art image processing
algorithms help you moderate content
automatically and build more personalized
apps by returning smart insights about
faces, images, and emotions.

14. Emotion API
Analyze faces to detect a range of feelings.

15. Face verification
Check the
likelihood that
two faces
belong to the
same person.

16. Video API
Detect and track faces.

17. Azure Cognitive Services
Projects:
1. Project Prague
Gesture based controls
2. Project Johannesburg
Route logistics
3. Project Abu Dhabi
Distance matrix
4. Project Nanjing
Isochrones calculations
5. Project Cuzco
Event associated with
Wikipedia entries
6. Project Wollongong
Location insights
Labs
Take an early look at emerging Cognitive
Services technologies. Early adopters who
do not need market-ready technology can
discover, try and provide feedback on new
Cognitive Services technologies before
they are generally available.

19. Complete Bot Architecture

20. Named Entity Recognition

21. Named Entity Recognition

22. Language Understanding Intelligent
Service
https://www.luis.ai

23. Data and analytics platform

24. Cortana
Personal digital assistant.
FITBIT SKILL FOR CORTANA:
“Hey Cortana, ask Fitbit how
many steps I've taken.”

25. Cortana + Amazon Alexa
Available later this year, this
collaboration will allow you to
access Alexa via Cortana on
Windows 10 PCs, followed by
Android and iOS in the future.
Conversely, you’ll be able to
access Cortana on Alexa-
enabled devices like the
Amazon Echo, Echo Dot and
Echo Show.

27. Azure Machine Learning Studio
Azure Machine
Learning Studio is a
collaborative, drag-
and-drop tool you
can use to build,
test, and deploy
predictive analytics
solutions on your
data.

28. Azure ML
Capabilities
• Anomaly Detection
• Classification
• Clustering
• Recommendation
• Regression
• Statistical Functions
• Text Analytics
• OpenCV Library
https://docs.microsoft.com/en-us/azure/machine-
learning/machine-learning-studio-overview-diagram

29. Q&A
Oleksandr Krakovetskyi
CEO, DevRain Solutions
alex.krakovetskiy@devrain.com
@sashaeve