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Microsoft AI
Microsoft AI
Innovation is what creates tomorrow
Oleksandr Krakovetskyi
CEO DevRain Solutions, Ph.D.
CTO DonorUA
@sashaeve...
About
1. CEO DevRain Solutions,
devrain.com
2. CTO ДонорUA, donor.ua
3. PhD in Computer Science
4. Microsoft Regional Dire...
.NET Fest & AI
Microsoft AI
1. Pre-built (cloud). Tap into high-quality
RESTful intelligent APIs for Vision, Speech,
Language, Knowledge ...
Microsoft AI in the Cloud
Product What is it What you can do with it
Azure Machine Learning service Managed cloud service ...
Microsoft AI On-premises
Product What is it What you can do with it
SQL Server Machine Learning
Services
Analytics engine ...
Microsoft AI Developer tools
Product What is it What you can do with it
ML.NET Open-source, cross-platform ML SDK Develop ...
Pre-built models
Azure Cognitive Services
Search
• Bing Web Search
• Bing Visual Search
• Bing Custom Search
• Bing Entity Search
• Bing Video Search
• Bing News Se...
Speech
• Speech to Text
(Preview)
• Speaker Recognition
(Preview)
• Text to Speech
(Preview)
• Speech Translation
(Preview...
Language
1. Text Analytics
• Named Entity Recognition
• Key phrase extraction
• Text sentiment analysis
2. Bing Spell Chec...
Vision
1. Computer Vision
• Image classification
• Celebrity and landmark recognition
in images
• Handwriting recognition
...
Emotion recognition
Analyze faces to detect a range of feelings.
Face verification
Check the
likelihood that
two faces
belong to the
same person.
Video Indexer
Unlock video insights
Seeing AI
A free app that narrates the world around you.
Designed for the low vision community, this
research project harn...
Cognitive Services Labs
1. Project Gesture
2. Project Ink Analysis
3. Project Local Insights
4. Project Event Tracking
5. ...
Custom AI
ML.NET, Azure ML Studio
ML.NET
1. ML.NET is an open source and cross-platform machine learning framework.
2. Classification and clustering (e.g. t...
What is ML.NET?
ML.NET 0.6
1. New API for building and using machine learning models
2. Ability to score pre-trained ONNX Models
3. Signif...
ML.NET 0.6 ONNX support
Ольга Гавриш. Машинне навчання для
.NET розробників за допомогою ML.NET
Сергій Корж. ML.NET: використання
машинного навчан...
Azure Machine Learning Studio
A GUI-based integrated development
environment for constructing and
operationalizing Machine...
Azure ML Studio
1. Anomaly Detection
2. Classification
3. Clustering
4. Recommendation
5. Regression
6. Statistical Functi...
Azure Machine Learning Service
Use Azure Machine Learning service to train, deploy, and
manage ML models using Python and ...
Language Understanding (LUIS.ai)
A machine learning-based service to build natural language into apps, bots, and IoT devic...
QnA Maker
Build, train and publish a
simple question and answer
bot based on FAQ URLs,
structured documents,
product manua...
Microsoft Bot Framework
Build, connect, deploy, and manage intelligent
bots to naturally interact with your users on a
web...
Microsoft Bot Framework
Bot Framework 4.0 (preview)
1. Improved Bot Framework Emulator
2. Bot Builder Dispatch
3. OAuth inside your bot
4. Project...
Amazon Alexa
Alexa is Amazon’s cloud-based voice
service available on tens of millions of
devices from Amazon and third-pa...
Amazon Alexa
Data Science VMs
Comprehensive pre-configured
virtual machines for data science
modelling, development and
deployment.
htt...
Data Science VMs
1. Data Science Virtual Machine - Windows 2016
2. Data Science Virtual Machine for Linux (Ubuntu)
3. Deep...
Data Science VMs
1. Preconfigured analytics desktop in
the cloud
2. Data science training and education
3. On-demand elast...
The Microsoft Cognitive Toolkit
The Microsoft Cognitive Toolkit (https://cntk.ai) is
a unified deep learning toolkit that ...
Microsoft Research Open Data
A collection of free datasets from Microsoft Research
to advance state-of-the-art research in...
AI School
Dive in and learn how to start building intelligence into your
solutions with the Microsoft AI platform, includi...
Microsoft AI Lab
Experience, learn and code the latest
breakthrough AI innovations by
Microsoft.
https://www.ailab.microso...
Sketch2Code
An AI solution that
converts hand-written
drawings to working
HTML prototypes.
https://www.ailab.microsoft.com...
AI for Earth
AI for Earth puts Microsoft’s cloud and AI tools in the hands of those
working to solve global environmental ...
AI for Accessibility
A $25 million program that harnesses the
power of AI to amplify human capability
for the more than on...
Q&A
Oleksandr Krakovetskyi
alex.krakovetskiy@devrain.com
@sashaeve
fb.com/alex.krakovetskiy
.NET Fest 2018. Олександр Краковецький. Microsoft AI: створюємо програмні рішення з "інтелектом"
.NET Fest 2018. Олександр Краковецький. Microsoft AI: створюємо програмні рішення з "інтелектом"
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.NET Fest 2018. Олександр Краковецький. Microsoft AI: створюємо програмні рішення з "інтелектом"

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Штучний інтелект, беззаперечно, є трендом цього року. Когнітивні сервіси, цифрові асистенти, глобальні ініціативи трансформації бізнесу та соціальної сфери, машинне навчання та чатботи - все це дуже активно розвивається. Компанія Microsoft надає розробникам великий вибір різноманітних інструментів та технології (в тому числі у зв'язці з продуктами інших компаній), які дозволяють будувати "розумне" програмне забезпечення, а також трансформувати бізнес процеси. В доповіді на реальних прикладах ви дізнаєтесь, яким чином зробити ваше програмне забезпечення більш розумним, які кращі практики використання тих чи інших інструментів та до яких глобальних ініціатив ви можете приєднатись, будучи спеціалістом зі штучного інтелекту.

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.NET Fest 2018. Олександр Краковецький. Microsoft AI: створюємо програмні рішення з "інтелектом"

  1. 1. Microsoft AI
  2. 2. Microsoft AI Innovation is what creates tomorrow Oleksandr Krakovetskyi CEO DevRain Solutions, Ph.D. CTO DonorUA @sashaeve Microsoft Regional Director Microsoft Artificial Intelligence MVP fb.com/alex.krakovetskiy
  3. 3. About 1. CEO DevRain Solutions, devrain.com 2. CTO ДонорUA, donor.ua 3. PhD in Computer Science 4. Microsoft Regional Director 5. Microsoft Artificial Intelligence Most Valuable Professional
  4. 4. .NET Fest & AI
  5. 5. Microsoft AI 1. Pre-built (cloud). Tap into high-quality RESTful intelligent APIs for Vision, Speech, Language, Knowledge and Search. 2. Custom ML. Build and train own models with a big range of tools. 3. On-premises. Analytics engine embedded in SQL, standalone enterprise server for predictive analysis. 4. Conversational UI. Build, connect, deploy, and manage intelligent bots to naturally interact with your users. 5. Tools and Data Science VMs. DSVMs are Azure virtual machine images that are pre- installed, configured and tested with popular tools commonly used for data analytics, machine learning and AI. 6. Programs and Labs. AI School, AI Labs, AI for Earth, AI for Accessibility. 7. AI on data. Data storage and analytics (e.g. Power BI).
  6. 6. Microsoft AI in the Cloud Product What is it What you can do with it Azure Machine Learning service Managed cloud service for ML Train, deploy, and manage models in Azure using Python and CLI Azure Machine Learning Studio Drag-and-drop visual interface for ML Build, experiment, and deploy models using preconfigured algorithms Azure Databricks Spark-based analytics platform Build and deploy models and data workflows Azure Cognitive Services Azure services with pre-built AI and ML models Easily add intelligent features to your apps Azure Data Science Virtual Machine Virtual machine with pre-installed data science tools Develop ML solutions in a pre- configured environment Azure Batch AI Managed service to train and test ML an AI models in Azure Scale training process without having to manage complex infrastructure
  7. 7. Microsoft AI On-premises Product What is it What you can do with it SQL Server Machine Learning Services Analytics engine embedded in SQL Build and deploy models inside SQL Server Microsoft Machine Learning Server Standalone enterprise server for predictive analysis Build and deploy models with R and Python
  8. 8. Microsoft AI Developer tools Product What is it What you can do with it ML.NET Open-source, cross-platform ML SDK Develop ML solutions for .NET applications Windows ML Windows 10 ML platform Evaluate trained models on a Windows 10 device The Team Data Science Process Agile, iterative data science methodology to deliver predictive analytics solutions and intelligent applications efficiently Contains a distillation of the best practices and structures from Microsoft and others in the industry that facilitate the successful implementation of data science initiatives. Visual Studio Code Tools for AI Build, test, and deploy deep learning and AI solutions Develop deep learning and AI solutions across Windows and MacOS R Tools for Visual Studio Turn Visual Studio into a powerful R development environment. Build R applications with Visual Studio.
  9. 9. Pre-built models Azure Cognitive Services
  10. 10. Search • Bing Web Search • Bing Visual Search • Bing Custom Search • Bing Entity Search • Bing Video Search • Bing News Search • Bing Image Search • Bing Autosuggest Enable apps and services to harness the power of a Web-scale, ad-free search engine with Search. https://azure.microsoft.com/en- us/services/cognitive- services/directory/search/
  11. 11. Speech • Speech to Text (Preview) • Speaker Recognition (Preview) • Text to Speech (Preview) • Speech Translation (Preview) Convert spoken language into text or produce natural sounding speech from text using standard (or customizable) voice fonts. https://azure.microsoft.com/en- us/services/cognitive- services/directory/speech/
  12. 12. Language 1. Text Analytics • Named Entity Recognition • Key phrase extraction • Text sentiment analysis 2. Bing Spell Check 3. Translator Text • Automatic language detection • Automated text translation • Customizable translation 4. Content Moderator 5. Language Understanding Allow your apps to process natural language, evaluate sentiment and topics, and learn how to recognize what users want. https://azure.microsoft.com/en- us/services/cognitive- services/directory/lang/
  13. 13. Vision 1. Computer Vision • Image classification • Celebrity and landmark recognition in images • Handwriting recognition • OCR 2. Face • Emotion recognition • Similar face recognition and grouping in images 3. Video Indexer 4. Content Moderator 5. Custom 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. https://azure.microsoft.com/en- us/services/cognitive- services/directory/vision/
  14. 14. Emotion recognition Analyze faces to detect a range of feelings.
  15. 15. Face verification Check the likelihood that two faces belong to the same person.
  16. 16. Video Indexer Unlock video insights
  17. 17. Seeing AI A free app that narrates the world around you. Designed for the low vision community, this research project harnesses the power of AI to describe people, text and objects. References: 1. https://www.microsoft.com/en-us/seeing- ai/ 2. https://www.youtube.com/watch?v=R2mC -NUAmMk
  18. 18. Cognitive Services Labs 1. Project Gesture 2. Project Ink Analysis 3. Project Local Insights 4. Project Event Tracking 5. Project Answer Search 6. Project URL Preview 7. Project Conversation Learner 8. Project Personality Chat 9. Project Knowledge Exploration 10. Project Academic Knowledge 11. Project Entity Linking 12. Project Anomaly Finder 13. Project Custom Decision https://labs.cognitive.microsoft.com/en-us/project-custom-decision
  19. 19. Custom AI ML.NET, Azure ML Studio
  20. 20. ML.NET 1. ML.NET is an open source and cross-platform machine learning framework. 2. Classification and clustering (e.g. text categorization and sentiment analysis), regression (e.g. forecasting and price prediction). 3. Works on any platform supporting 64-bit .NET Core, including Windows, Linux, and macOS. References: 1. https://github.com/dotnet/machinelearning/ 2. https://www.microsoft.com/net/learn/apps/machine-learning-and-ai/ml-dotnet 3. https://www.microsoft.com/net/learn/machine-learning-and-ai/get-started-with-ml-dotnet- tutorial 4. https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/
  21. 21. What is ML.NET?
  22. 22. ML.NET 0.6 1. New API for building and using machine learning models 2. Ability to score pre-trained ONNX Models 3. Significant performance improvements for model prediction, .NET type system consistency, and more https://blogs.msdn.microsoft.com/dotnet/2018/10/08/announcing-ml-net-0-6- machine-learning-net/
  23. 23. ML.NET 0.6 ONNX support
  24. 24. Ольга Гавриш. Машинне навчання для .NET розробників за допомогою ML.NET Сергій Корж. ML.NET: використання машинного навчання в звичайних .NET проектах
  25. 25. Azure Machine Learning Studio A GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure. https://studio.azureml.net/
  26. 26. Azure ML Studio 1. Anomaly Detection 2. Classification 3. Clustering 4. Recommendation 5. Regression 6. Statistical Functions 7. Text Analytics 8. OpenCV Library
  27. 27. Azure Machine Learning Service Use Azure Machine Learning service to train, deploy, and manage ML models using Python and CLI at cloud scale. Use Automated ML feature that identifies the best machine learning pipelines for your labelled data. https://azure.microsoft.com/en-us/blog/announcing- automated-ml-capability-in-azure-machine-learning/
  28. 28. Language Understanding (LUIS.ai) A machine learning-based service to build natural language into apps, bots, and IoT devices. Quickly create enterprise-ready, custom models that continuously improve.
  29. 29. QnA Maker Build, train and publish a simple question and answer bot based on FAQ URLs, structured documents, product manuals or editorial content in minutes. https://www.qnamaker.ai/
  30. 30. Microsoft Bot Framework Build, connect, deploy, and manage intelligent bots to naturally interact with your users on a website, app, Cortana, Microsoft Teams, Skype, Slack, Facebook Messenger, and more. Get started quick with a complete bot building environment, all while only paying for what you use. https://dev.botframework.com/
  31. 31. Microsoft Bot Framework
  32. 32. Bot Framework 4.0 (preview) 1. Improved Bot Framework Emulator 2. Bot Builder Dispatch 3. OAuth inside your bot 4. Project Conversation Learner (Cognitive Services lab) 5. Project Personality Chat (Cognitive Services lab)
  33. 33. Amazon Alexa Alexa is Amazon’s cloud-based voice service available on tens of millions of devices from Amazon and third-party device manufacturers. With Alexa, you can build natural voice experiences that offer customers a more intuitive way to interact with the technology they use every day. Our collection of tools, APIs, reference solutions, and documentation make it easy for anyone to build with Alexa.
  34. 34. Amazon Alexa
  35. 35. Data Science VMs Comprehensive pre-configured virtual machines for data science modelling, development and deployment. https://azure.microsoft.com/en- us/services/virtual- machines/data-science-virtual- machines/
  36. 36. Data Science VMs 1. Data Science Virtual Machine - Windows 2016 2. Data Science Virtual Machine for Linux (Ubuntu) 3. Deep Learning Virtual Machine 4. Data Science Virtual Machine - Windows 2012 5. Data Science Virtual Machine for Linux (CentOS) 6. Geo AI Data Science VM with ArcGIS
  37. 37. Data Science VMs 1. Preconfigured analytics desktop in the cloud 2. Data science training and education 3. On-demand elastic capacity for large-scale projects 4. Short-term experimentation and evaluation 5. Deep learning
  38. 38. The Microsoft Cognitive Toolkit The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph. https://docs.microsoft.com/en-us/cognitive-toolkit/setup- cntk-on-your-machine https://github.com/Microsoft/CNTK/
  39. 39. Microsoft Research Open Data A collection of free datasets from Microsoft Research to advance state-of-the-art research in areas such as natural language processing, computer vision, and domain specific sciences. Download or copy directly to a cloud-based Data Science Virtual Machine for a seamless development experience. https://msropendata.com/
  40. 40. AI School Dive in and learn how to start building intelligence into your solutions with the Microsoft AI platform, including pre-trained AI services like Cognitive Services and Bot Framework, as well as deep learning tools like Azure Machine Learning, Visual Studio Code Tools for AI, and Cognitive Toolkit. Our platform enables any developer to code in any language and infuse AI into your apps. Whether your solutions are existing or new, this is the intelligence platform to build on. https://aischool.microsoft.com/en-us
  41. 41. Microsoft AI Lab Experience, learn and code the latest breakthrough AI innovations by Microsoft. https://www.ailab.microsoft.com/
  42. 42. Sketch2Code An AI solution that converts hand-written drawings to working HTML prototypes. https://www.ailab.microsoft.com/experiments/30c61484-d081-4072-99d6-e132d362b99d
  43. 43. AI for Earth AI for Earth puts Microsoft’s cloud and AI tools in the hands of those working to solve global environmental challenges. Through grants that provide access to cloud and AI tools, opportunities for education and training on AI, and investments in innovative, scalable solutions, AI for Earth works to advance sustainability across the globe. To learn about Microsoft’s broader sustainability mission, visit Microsoft Green. https://www.microsoft.com/en-us/aiforearth/
  44. 44. AI for Accessibility A $25 million program that harnesses the power of AI to amplify human capability for the more than one billion people around the world with a disability. https://www.microsoft.com/en-us/ai-for- accessibility
  45. 45. Q&A Oleksandr Krakovetskyi alex.krakovetskiy@devrain.com @sashaeve fb.com/alex.krakovetskiy

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