The document discusses Microsoft's AI and data science platform and process. The platform includes services like Machine Learning, Cognitive Services, Bot Framework, and Azure Search. It also describes the team data science process of defining objectives, acquiring and understanding data, modeling, deployment, and customer acceptance. Additionally, it distinguishes between the roles of data scientists and AI developers.
2. 1. Microsoft AI and DS Platform Vision.
2. The Team Data Science Process
3. Data Scientists and AI Developers
4. The Microsoft AI and DS Platform
1. Machine Learning Services
2. Cognitive Services
3. Bot Framework
4. Azure Search
5. Data Science Virtual Machine
Agenda
3.
4. Microsoft AI and Data Science is a
Process and a Platform to perform
advanced analytics from start to finish
5.
6. The types of Advanced Analytics
Source: Gartner (October 2014)
7.
8. The Team
Data Science
Process
• Define Objectives
• Identify Data SourcesBusiness Understanding
• Ingest Data
• Explore Data
• Update Data
Data Acquisition and
Understanding
• Feature Selection
• Create and Train ModelModeling
• OperationalizeDeployment
• Testing and Validation
• Handoff
• Re-train and re-score
Customer Acceptance
14. Build once, publish across platforms and drive discoverability
Open source SDKs make it possible
to bring your bot to life in minutes
Connect your bot to any or all of the
top conversational experiences to
reach >1B users
Make your bot discoverable via Bing,
Cortana and other Microsoft surfaces
15. Azure Search
Simplify search-index management
Set up and scale out easily
Integrate data seamlessly
Powerful, guaranteed performance
Sophisticated search
Connects business goals to the
application
Fast time to market
Backed by Microsoft Azure
20. The Microsoft
AI & Data Science
Platform
Azure Machine Learning Services
Cognitive Services
Bot Framework
Azure Search
Data Science Virtual Machine
21. The Team
Data Science
Process
• Define Objectives
• Identify Data SourcesBusiness Understanding
• Ingest Data
• Explore Data
• Update Data
Data Acquisition and
Understanding
• Feature Selection
• Create and Train ModelModeling
• OperationalizeDeployment
• Testing and Validation
• Handoff
• Re-train and re-score
Customer Acceptance
23. Classified as Microsoft General
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